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SergiioB

SergiioB

@SergiioB · Member since 2026

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Mainly llama.cpp 90 approved runs

Submissions

90

90 approved public runs

Models

20

unique models

Avg output

88.9tok/s

Best 1,140 tok/s

Avg prefill

1,944tok/s

Best 10,371 tok/s

Avg total

249tok/s

Best 2,034 tok/s

Avg TTFT

4,112ms

Best 48.9 ms

Hardware

2

distinct setups

Reactions

2

across all runs

Personal bests

Personal bests20

Fastest approved result for each model.

3B MoE9 runs🔥
Output1,140 tok/s
Prefill8,715 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

vllm · GPTQ-Int4 · 2mo ago

3B MoE10 runs
Output245 tok/s
Prefill4,511 tok/s
TTFT—
Depth0k
Intel Arc Pro B70 32GB

vllm · gptq-int4 · 2w ago

3B MoE1 run
Output245 tok/s
Prefill—
TTFT—
Depth0k
Intel Arc Pro B70 32GB

vllm · gptq-int4 · 2w ago

27B19 runs
Output224 tok/s
Prefill4.8 tok/s
TTFT15,419 ms
Depth—
Intel Arc Pro B70 32GB

vllm · GPTQ-Int4 · 2mo ago

35B MoE7 runs
Output164 tok/s
Prefill383 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q5_K_M · 3mo ago

35B MoE1 run
Output146 tok/s
Prefill—
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q5_K_M · 3mo ago

27B6 runs
Output113 tok/s
Prefill1,696 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

vllm · GPTQ-Int4+draft-INT4-RTN · 2mo ago

3B MoE3 runs
Output108 tok/s
Prefill9,073 tok/s
TTFT320 ms
Depth—
Intel Arc Pro B70 32GB

vllm · GPTQ-Int4 · 1mo ago

3B MoE1 run
Output87.4 tok/s
Prefill766 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q4_0 · 2mo ago

35B MoE2 runs
Output73.2 tok/s
Prefill416 tok/s
TTFT76.9 ms
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q4_K_M · 3mo ago

27B7 runs
Output69.3 tok/s
Prefill1,755 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

vllm · GPTQ-Int4 · 2mo ago

3B MoE2 runs
Output62.8 tok/s
Prefill1,682 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q4_K_XL · 3mo ago

9B2 runs
Output50.3 tok/s
Prefill554 tok/s
TTFT57.8 ms
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q6_K · 3mo ago

180B MoE3 runs
Output33.3 tok/s
Prefill173 tok/s
TTFT—
Depth0k
Intel Arc Pro B70 32GB ×2

llama.cpp · Q4_K_M (AD-4.27bpw M64 dynamic) · 1mo ago

27B2 runs
Output31.1 tok/s
Prefill390 tok/s
TTFT190 ms
Depth—
Intel Arc Pro B70 32GB ×2

vllm · FP8 · 1mo ago

30B3 runs
Output29.2 tok/s
Prefill1,301 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q4_K_XL · 2mo ago

27B3 runs
Output27.9 tok/s
Prefill936 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q6_K · 2mo ago

31B6 runs
Output26.6 tok/s
Prefill385 tok/s
TTFT—
Depth0k
Intel Arc Pro B70 32GB

llama.cpp · Q4_K_M · 2mo ago

27B1 run
Output25.1 tok/s
Prefill613 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB

llama.cpp · Q5_K_M · 3mo ago

180B2 runs
Output23.4 tok/s
Prefill184 tok/s
TTFT—
Depth—
Intel Arc Pro B70 32GB ×2

llama.cpp · IQ3_S · 1mo ago

Hardware breakdown

Hardware breakdown2

Distinct rigs used across approved submissions.

Intel Arc Pro B70 32GB

83 runs · best 1,140 tok/s

Intel Arc Pro B70 32GB ×2

7 runs · best 33.3 tok/s

Engines used

Engines used2

Runtime mix and top quantizations.

llama.cpp48Q4_K_M (AD-4.27bpw M64 dynamic) · IQ3_S · Q4_K_M
vllm42gptq-int4 · exl3 · GPTQ-Int4
All runs

All runs90

Full approved speed test history · page 2 of 4.

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

22,350 ms

Context

131k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

138 tok/s

Prefill

1,694 tok/s

Total

249 tok/s

TTFT

22,350 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

5

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Realistic 5-user coding serving on the current stack (vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1, prefix caching on). Workload: 5 concurrent multi-turn coding sessions, ~8K-token session prompts, 512-token generations, 60/60 OK, 0 crashes. tokSOut = sum of per-stream generation rates (5 x 27.7 median per-user tok/s). TTFT is per-turn with ~45K session tokens prefilling per wave; turn-completion wall aggregate incl. prefill = 54 tok/s. Short-prompt C5 aggregate (203.8) is a separate record. MTP acceptance 47% under concurrency.

Reactions

—

Submitted

Aug 19, 2026, 12:17 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

22,350 ms

Context

131k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

138 tok/s

Prefill

1,694 tok/s

Total

249 tok/s

TTFT

22,350 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

5

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Realistic 5-user coding serving on the current stack (vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1, prefix caching on). Workload: 5 concurrent multi-turn coding sessions, ~8K-token session prompts, 512-token generations, 60/60 OK, 0 crashes. tokSOut = sum of per-stream generation rates (5 x 27.7 median per-user tok/s). TTFT is per-turn with ~45K session tokens prefilling per wave; turn-completion wall aggregate incl. prefill = 54 tok/s. Short-prompt C5 aggregate (203.8) is a separate record. MTP acceptance 47% under concurrency.

Reactions

—

Submitted

Aug 19, 2026, 12:16 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

369 ms

Context

131k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

100 tok/s

Prefill

1,694 tok/s

Total

70.8 tok/s

TTFT

369 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Current full stack: vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching ON (zero hits, unique prompts). C1 client post-first, n=5 median (92.9-105.1), calibrated real-world Pi prompt set, same prompt file as the 2026-08-18 record. p8192/g128 median 100.0; cold input 1694 tok/s at p8192/g1. Prompt-content sensitive: degenerate INDEX filler measures ~71 (44% MTP acceptance) vs 93-96% on realistic text. Cache-off record on the same patches: 112.65.

Reactions

—

Submitted

Aug 19, 2026, 12:13 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

15,419 ms

Context

2k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

224 tok/s

Prefill

4.8 tok/s

Total

286 tok/s

TTFT

15,419 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

32

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C32 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

8,077 ms

Context

2k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

201 tok/s

Prefill

9.2 tok/s

Total

253 tok/s

TTFT

8,077 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

16

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C16 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

414 ms

Context

2k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

204 tok/s

Prefill

179 tok/s

Total

249 tok/s

TTFT

414 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C5 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

171 ms

Context

2k · 2mo ago

Show all run details

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

56.8 tok/s

Prefill

433 tok/s

Total

70.8 tok/s

TTFT

171 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C1 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Qwen3.8-27B

27B · Qwen

113

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4+draft-INT4-RTN

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

113 tok/s

Prefill

1,696 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

0.27.2rc1.dev77+gac7509e2b XPU

Quantization

GPTQ-Int4+draft-INT4-RTN

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.88

Max running seqs

64

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

B70_DRAFT_LMHEAD_INT4=1 B70_DRAFT_MTP_INT4=1 vllm serve /model --quantization gptq --dtype float16 --max-model-len 131072 --gpu-memory-utilization 0.88 --kv-cache-dtype fp8 --max-num-seqs 64 --max-num-batched-tokens 8192 --no-enable-prefix-caching --language-model-only --speculative-config {"method":"mtp","num_speculative_tokens":4}

Extra flags

--max-model-len 131072 --no-enable-prefix-caching --language-model-only --speculative-config {method:mtp,num_speculative_tokens:4}

Notes

NEW identity vs cmsur82fz06svms01ga1f0z83 (BF16 draft 83.7). Same 1x B70, same image vllm/vllm-openai-xpu@sha256:f01e24f6c7ff01f1e0662234255a1372297d1dbd89d003cf13c8fad3eab1ba4f, kernels 0.1.12.3, same target SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16. Extra patches after Qwen MTP nightly+boundary: patch_gdn_mixed_split_v5.py + patch_draft_lmhead_int4.py + patch_draft_mtp_int4.py (runtime RTN INT4 of draft LM head + 5 MTP linears only; target verify stays BF16). tokSOut = client post-first at p512/g128, median n=5, C1, cache OFF (zero prefix_cache_hits_total delta): 112.65 (range 111.58-117.73). Matched same-harness BF16-draft arm was 81.20, not the older Run40 83.7 card. tokSPrefill = actual input/TTFT at p8192/g1 MTP4 n=5: 1696 (flat vs 1691). Accept 510/540=94.44% vs 95.86%. Short agentic +32.8%; 8K/16K long-ctx agentic +37%/+26%. 230 W configured cap; measured median draw 205 W at p512/g128. Speed-only: no token/KL/task-quality parity vs BF16 draft. E2 self-reported. Measured 2026-08-18.

Reactions

—

Submitted

Aug 19, 2026, 6:31 AM

Last edited

—

Qwen3.8-27B

27B · Qwen

83.7

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-Int4

TTFT

—

Context

131k · 2mo ago

🚀
Show all run details

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

83.7 tok/s

Prefill

1,774 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

0.27.2rc1.dev77+gac7509e2b XPU

Quantization

GPTQ-Int4

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.88

Max running seqs

64

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

vllm serve /model --quantization gptq --dtype float16 --max-model-len 131072 --gpu-memory-utilization 0.88 --kv-cache-dtype fp8 --max-num-seqs 64 --max-num-batched-tokens 8192 --no-enable-prefix-caching --language-model-only --speculative-config {"method":"mtp","num_speculative_tokens":4}

Extra flags

--max-model-len 131072 --no-enable-prefix-caching --language-model-only --speculative-config {method:mtp,num_speculative_tokens:4}

Notes

Single-stream C1. vLLM XPU nightly vllm/vllm-openai-xpu@sha256:f01e24f6c7ff01f1e0662234255a1372297d1dbd89d003cf13c8fad3eab1ba4f, vllm-xpu-kernels 0.1.12.3. Model SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16 (Qwen3_5ForConditionalGeneration, dense 27B, GPTQ-INT4 g128 sym desc_act=false, preserved BF16 MTP head). Patches: patch_mtp_nightly.py + patch_mtp_boundary.py. fp8 KV cache, gpu-memory-utilization 0.88, scheduler 8192, max-num-seqs 64, prefix cache OFF (--no-enable-prefix-caching, zero cache-query delta). MTP4 speculative decode, 1-layer draft. tokSOut = client post-first rate at p512/g128, median n=5 (not engine-native decode); tokSPrefill = actual input tokens / client TTFT at p8192/g1, median n=5, no-spec mode (not llama-bench pp). 230 W configured cap; measured campaign-window mean draw 196 W (MTP4 mode). E2 self-reported; independent reproduction pending. Measured 2026-08-15. Claims-audited: 83.7 tok/s MTP4 p512/g128 n=5 range 78.3-84.4; exact-128K full-context p130944/g128 56.3 tok/s n=1. 2000 t/s prefill NOT reached; max cold-input median 1851 t/s (no-spec p2048/g1).

Reactions

🚀

Submitted

Aug 15, 2026, 7:13 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

22.3

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_M

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

22.3 tok/s

Prefill

1,121 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. 230W cap (stock). llama-bench tg128 mean 22.30 t/s (+/-0.01, n=5, C1, cold cache). Cold input pp8192 mean 1121.40 t/s (+/-1.89, n=5); pp512 778.80 / pp2048 1115.99 / pp4096 1137.02. Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. Cross-cap note: at matched 150W cap this model runs tg128 mean 17.78 (n=5, separate submission); prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, 150W, Run 9) -- comparisons across caps are directional only. Dense power scaling 150->230W measured +25% decode on this model.

Reactions

—

Submitted

Aug 14, 2026, 3:50 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

22.3

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_M

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

22.3 tok/s

Prefill

1,121 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. 230W cap (stock). llama-bench tg128 mean 22.30 t/s (+/-0.01, n=5, C1, cold cache). Cold input pp8192 mean 1121.40 t/s (+/-1.89, n=5); pp512 778.80 / pp2048 1115.99 / pp4096 1137.02. Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. Cross-cap note: at matched 150W cap this model runs tg128 mean 17.78 (n=5, separate submission); prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, 150W, Run 9) -- comparisons across caps are directional only. Dense power scaling 150->230W measured +25% decode on this model.

Reactions

—

Submitted

Aug 14, 2026, 3:50 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

17.8

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_M

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

17.8 tok/s

Prefill

787 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

150W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. llama-bench tg128 mean 17.78 t/s (+/-0.17, n=5, C1, cold cache). Cold input pp8192 mean 787.45 t/s (+/-1.74, n=5). Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. At matched 150W/build/quant/flags the prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, Run 9); 3.8 mean 17.78 (n=5) -- ~16% slower decode. Comparison directional: different checkpoints, n mismatch (3 vs 5).

Reactions

—

Submitted

Aug 14, 2026, 3:41 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local+DFlash-BF16-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

187 tok/s

Prefill

7,160 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local+DFlash-BF16-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

1

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --quantization gptq --dtype float16 --max-model-len 16384 --max-num-seqs 1 --max-num-batched-tokens 8192 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --language-model-only --async-scheduling --speculative-config '{"method":"dflash","model":"/mnt/models2/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-DFlash-BF16","num_speculative_tokens":7}' --host 127.0.0.1 --port 8001

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --language-model-only --async-scheduling --speculative-config {"method":"dflash","model":"/mnt/models2/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-DFlash-BF16","num_speculative_tokens":7}

Notes

Self-reported E2, not independently reproduced. C1 (max_num_seqs=1), prefix cache explicitly off (--no-enable-prefix-caching; enable_prefix_caching=False; zero prefix_cache_hits delta). Timing is client monotonic SSE: tokSOut is median client post-first decode at exact p2048/g128 n=5 = 186.61 t/s (range 174.60-201.83; families research/rag/tool/document/assistant). Additional decode cells on the same warm server: p512/g128 median 194.61 (range 140.20-220.01, acceptance 45.1% — wide family spread, not the representative scalar); p8192/g128 median 157.92 (143.50-170.25, acceptance 53.0%). tokSPrefill is the p8192/g1 n=5 median COLD INPUT RATE from client TTFT (7160 t/s, range 7117-7226), which includes scheduling and first-token work — NOT isolated engine prefill. Also p2048/g1 cold input median 6456 t/s. Spec: method=dflash n_spec=7; window acceptance 1830/3521 = 52.0%. Target is a LOCAL symmetric GPTQ INT4 G64 conversion of the named BF16 repo (not an official HF quant). Draft is a LOCAL NVFP4 E2M1→BF16 reconstruction of NVIDIA DFlash, not a published BF16 draft. Stack: vllm/vllm-openai-xpu@sha256:1da0a95485455f08588c11080b9718992fd7d434c6a965d74654903a9d999c57 plus local det image patches (native grouped-topk v2, SSU B8/W4, at::zeros grouped-GEMM); VLLM_XPU_ENABLE_XPU_GRAPH=1; PIECEWISE+FULL graphs; --async-scheduling; --quantization gptq --dtype float16 --max-model-len 16384 --gpu-memory-utilization 0.90. Configured cap 150 W; measured cell-window averages ~149-160 W; peak interval-average 179.3 W (0.5 s energy1_input on p8192/g128); pkg max 68.0 C. Deterministic raw-completion replay smoke exact_match=true (scope: smoke only, not logit/KL or task-quality). n=3 screen 20260813T080234Z is superseded and was not used. Matched-except-speculation vs prior no-spec n=5 graph campaign (p8192/g128 87.25 t/s): 1.81× on that cell only.

Reactions

—

Submitted

Aug 13, 2026, 8:40 AM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

92.7 tok/s

Prefill

10,349 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU) + deterministic grouped-GEMM fix

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /model --dtype bfloat16 --quantization gptq --max-model-len 16384 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --async-scheduling

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --async-scheduling

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=3 median (92.65 t/s, range 92.61-92.65), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). GPTQ conversion published at SergiiioB/Nemotron-3.5-Lightning-30B-A3B-GPTQ-INT4-G64-sym. tokSPrefill = cold input rate at p8192 from median client TTFT (10,349 tok/s; TTFT median 0.7916s, n=3, per-rep 10347-10357) — client-observed rate, NOT isolated engine prefill. NO speculative decoding. Deterministic image with grouped-GEMM at::zeros atomic-buffer fix. Deterministic replay verified (8/8 identical temp-0 requests). 150W cap; measured draw ~89-90W. Claims-auditor verified decode; prefill corrected from earlier 10371 (rounding error).

Reactions

—

Submitted

Aug 12, 2026, 11:54 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

92.7 tok/s

Prefill

10,371 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU) + deterministic grouped-GEMM fix

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /model --dtype bfloat16 --quantization gptq --max-model-len 16384 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --async-scheduling

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --async-scheduling

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=3 median (92.65 t/s, range 92.61-92.65), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion of BF16 checkpoint (published at SergiiioB/Nemotron-3.5-Lightning-30B-A3B-GPTQ-INT4-G64-sym). tokSPrefill is cold input rate at p8192 from median client TTFT (10,371 tok/s; TTFT 0.791s, n=3) - client-observed rate, NOT isolated engine prefill. NO speculative decoding (native MTP tested: 0% draft acceptance on this stack; N-gram: non-deterministic; DFlash: unsupported). Deterministic image vllm-openai-xpu:1da0a954-det0123 with grouped-GEMM at::zeros atomic-buffer fix (eliminates the XPU FP race). DETERMINISTIC REPLAY VERIFIED: 8 identical temperature-0 requests produce byte-identical output. 150W cap; measured draw ~89-90W.

Reactions

—

Submitted

Aug 12, 2026, 10:37 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

8,368 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). tokSPrefill is the cold input rate at exact p8192/g128 from median client TTFT (8,368 tok/s, TTFT median 0.9789s, n=3) - a client-observed input rate including scheduling and first-token work, NOT an isolated engine prefill measurement. NO speculative decoding in this config: native MTP was tested and rejected on this stack (0% draft acceptance), N-gram rejected (temperature-0 nondeterminism), DFlash not supported for this model on this stack. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 9:08 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

—

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent. Prefill field omitted: no isolated prefill measurement on this stack; TTFT-derived cold input rate is a different metric and is NOT reported as tokSPrefill.

Reactions

—

Submitted

Aug 12, 2026, 9:06 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

4,900 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 9:00 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

vllm · GPTQ-INT4-G64-sym-local

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

4,900 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 8:59 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_0

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

Base model

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

87.4 tok/s

Prefill

766 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_0

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE, 128 experts/7 active). Q4_0 quantization (17.44 GiB, requantized from Q4_K_M). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 95-99% acceptance, n=5 median). No-spec decode: 68.0 t/s. Q4_0 delivers +78% over Q4_K_M (38->68 t/s no-spec) due to simpler GEMV dequantization. Measured power: 134.0W avg (cap 230W). GPU temp: ~64C. Custom kernel fusion: ssm_conv bias+SiLU, ssm_scan dt_bias+D*x, MMQ/XMX dispatch override. Build: llama.cpp SYCL f785fc9ea. KV: q8_0/q4_1, FA on.

Reactions

—

Submitted

Aug 12, 2026, 6:53 AM

Last edited

—

29.2

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_XL

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

29.2 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b284 SYCL (d2f83055d) GGML_SYCL_F16=ON

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

yes

Spec method

—

Spec model

dflash-draft.gguf

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Muse-Glimmer-30B-UD-Q4_K_XL.gguf -md dflash-draft.gguf --spec-type draft-dflash --spec-draft-n-max 2 -ngl 99 -ngld 99 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 8192 -t 8 -dev SYCL0

Extra flags

--spec-type draft-dflash --spec-draft-n-max 2 --ngld 99 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Meta Muse-Glimmer-30B (dense 30B multimodal, vision+reasoning). Decode with DFlash speculative decoding (draft-dflash, n-max=2). p512/g128 median 29.2 t/s (max 31.8, n=5, Run 33). No-spec baseline: 25.3 t/s (Run 34). Measured at 230W cap. GGML_SYCL_F16=ON mandatory for this architecture (3.4x prefill loss without it). Build: llama.cpp SYCL d2f83055d (build 284). KV: q8_0 K + q4_1 V, FA on, -ngl 99 -ub 8192. Model: Muse-Glimmer-30B-UD-Q4_K_XL (15 GB). Multimodal verified (vision mmproj). Day-0 adoption: llama.cpp PR #26841 merged.

Reactions

—

Submitted

Aug 11, 2026, 9:55 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_0

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

87.4 tok/s

Prefill

766 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_0

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE, 128 experts/7 active). Q4_0 quantization (17.44 GiB, requantized from Q4_K_M). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 95-99% acceptance, n=5 median). No-spec decode: 68.0 t/s. Q4_0 delivers +78% over Q4_K_M (38->68 t/s no-spec) due to simpler GEMV dequantization. Measured power: 134.0W avg (cap 230W). GPU temp: ~64C. Custom kernel fusion: ssm_conv bias+SiLU, ssm_scan dt_bias+D*x, MMQ/XMX dispatch override. Build: llama.cpp SYCL f785fc9ea. KV: q8_0/q4_1, FA on.

Reactions

—

Submitted

Aug 11, 2026, 9:55 PM

Last edited

—

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_M

TTFT

—

Context

16k · 2mo ago

Show all run details

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

49.8 tok/s

Prefill

1,027 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 98.6% acceptance, n=5 median). No-spec decode: 38.2 t/s. Measured power draw: 140.3W avg (cap 230W). GPU temp: 63.9C avg. Custom kernel fusion: ssm_conv bias+SiLU fused, ssm_scan dt_bias+D*x fused, MMQ/XMX dispatch override for K-quant GEMV. Build: llama.cpp SYCL f785fc9ea. KV: q8_0 K + q4_1 V, FA on, -ngl 99 -ncmoe 0.

Reactions

—

Submitted

Aug 11, 2026, 8:04 PM

Last edited

—

26.8

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_XL

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

26.8 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

llama.cpp

Engine version

d2f83055d (284) SYCL

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

Extra flags

—

Notes

Muse-Glimmer-30B UD-Q4_K_XL GGUF, llama.cpp SYCL d2f83055d (GGML_SYCL_F16=ON), single-stream C1. Decode = engine timings.predicted_per_second with DFlash draft n_max=2, p512/g128 median n=5, 128K ctx, 230W cap; no-spec baseline 22.5. Prefill = llama-bench pp4096. Reasoning model (decode includes reasoning tokens). E2 provisional self-report. 2026-08-10 (Run 33-35).

Reactions

—

Submitted

Aug 10, 2026, 7:11 PM

Last edited

—

26.8

tok/s

Hardware

Intel Arc Pro B70 32GB

Engine

llama.cpp · Q4_K_XL

TTFT

—

Context

131k · 2mo ago

Show all run details

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

26.8 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

llama.cpp

Engine version

d2f83055d (284) SYCL

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

Extra flags

—

Notes

Muse-Glimmer-30B UD-Q4_K_XL GGUF, llama.cpp SYCL d2f83055d (GGML_SYCL_F16=ON), single-stream C1. Decode = engine timings.predicted_per_second with DFlash draft n_max=2, p512/g128 median n=5, 128K ctx, 230W cap; no-spec baseline 22.5. Prefill = llama-bench pp4096. Reasoning model (decode includes reasoning tokens). E2 provisional self-report. 2026-08-10 (Run 33-35).

Reactions

—

Submitted

Aug 10, 2026, 7:11 PM

Last edited

—

ModelHardwareEnginetok/s outprefilltok/s totalTTFTDepthShare
Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int41381,69424922,350 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

138 tok/s

Prefill

1,694 tok/s

Total

249 tok/s

TTFT

22,350 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

5

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Realistic 5-user coding serving on the current stack (vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1, prefix caching on). Workload: 5 concurrent multi-turn coding sessions, ~8K-token session prompts, 512-token generations, 60/60 OK, 0 crashes. tokSOut = sum of per-stream generation rates (5 x 27.7 median per-user tok/s). TTFT is per-turn with ~45K session tokens prefilling per wave; turn-completion wall aggregate incl. prefill = 54 tok/s. Short-prompt C5 aggregate (203.8) is a separate record. MTP acceptance 47% under concurrency.

Reactions

—

Submitted

Aug 19, 2026, 12:17 PM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int41381,69424922,350 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

138 tok/s

Prefill

1,694 tok/s

Total

249 tok/s

TTFT

22,350 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

5

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Realistic 5-user coding serving on the current stack (vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1, prefix caching on). Workload: 5 concurrent multi-turn coding sessions, ~8K-token session prompts, 512-token generations, 60/60 OK, 0 crashes. tokSOut = sum of per-stream generation rates (5 x 27.7 median per-user tok/s). TTFT is per-turn with ~45K session tokens prefilling per wave; turn-completion wall aggregate incl. prefill = 54 tok/s. Short-prompt C5 aggregate (203.8) is a separate record. MTP acceptance 47% under concurrency.

Reactions

—

Submitted

Aug 19, 2026, 12:16 PM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int41001,69470.8369 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

100 tok/s

Prefill

1,694 tok/s

Total

70.8 tok/s

TTFT

369 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

yes

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. Current full stack: vLLM XPU nightly f01e24f6, MTP4, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching ON (zero hits, unique prompts). C1 client post-first, n=5 median (92.9-105.1), calibrated real-world Pi prompt set, same prompt file as the 2026-08-18 record. p8192/g128 median 100.0; cold input 1694 tok/s at p8192/g1. Prompt-content sensitive: degenerate INDEX filler measures ~71 (44% MTP acceptance) vs 93-96% on realistic text. Cache-off record on the same patches: 112.65.

Reactions

—

Submitted

Aug 19, 2026, 12:13 PM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int42244.828615,419 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

224 tok/s

Prefill

4.8 tok/s

Total

286 tok/s

TTFT

15,419 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

32

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C32 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int42019.22538,077 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

201 tok/s

Prefill

9.2 tok/s

Total

253 tok/s

TTFT

8,077 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

16

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C16 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int4204179249414 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

204 tok/s

Prefill

179 tok/s

Total

249 tok/s

TTFT

414 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

5

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C5 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int456.843370.8171 ms—
Show all details for Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Model

SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Display name

Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16

Base model

Qwen3.8-27B

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

56.8 tok/s

Prefill

433 tok/s

Total

70.8 tok/s

TTFT

171 ms

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

74

Output tokens

256

Prefill tokens

—

Context length

2048

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

vllm

Engine version

—

Quantization

GPTQ-Int4

Backend

cuda

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

1

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

# Remote endpoint: http://127.0.0.1:8000 servedModel: qwen38

Extra flags

—

Notes

Self-reported. Single Intel Arc Pro B70 32GB. vLLM XPU nightly digest f01e24f6, MTP4 speculative decoding, GDN mixed-split v5, draft-INT4 S+M1 overlay, prefix caching on, fp8 KV cache, 230W configured cap. Aggregate C1 throughput via lmx remote harness (256 output tokens, 3 iterations). Single-stream C1 is a separate record.

Reactions

—

Submitted

Aug 19, 2026, 11:32 AM

Last edited

—

Qwen3.8-27B

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int4+draft-INT4-RTN1131,696———
Show all details for Qwen3.8-27B

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

113 tok/s

Prefill

1,696 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

0.27.2rc1.dev77+gac7509e2b XPU

Quantization

GPTQ-Int4+draft-INT4-RTN

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.88

Max running seqs

64

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

B70_DRAFT_LMHEAD_INT4=1 B70_DRAFT_MTP_INT4=1 vllm serve /model --quantization gptq --dtype float16 --max-model-len 131072 --gpu-memory-utilization 0.88 --kv-cache-dtype fp8 --max-num-seqs 64 --max-num-batched-tokens 8192 --no-enable-prefix-caching --language-model-only --speculative-config {"method":"mtp","num_speculative_tokens":4}

Extra flags

--max-model-len 131072 --no-enable-prefix-caching --language-model-only --speculative-config {method:mtp,num_speculative_tokens:4}

Notes

NEW identity vs cmsur82fz06svms01ga1f0z83 (BF16 draft 83.7). Same 1x B70, same image vllm/vllm-openai-xpu@sha256:f01e24f6c7ff01f1e0662234255a1372297d1dbd89d003cf13c8fad3eab1ba4f, kernels 0.1.12.3, same target SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16. Extra patches after Qwen MTP nightly+boundary: patch_gdn_mixed_split_v5.py + patch_draft_lmhead_int4.py + patch_draft_mtp_int4.py (runtime RTN INT4 of draft LM head + 5 MTP linears only; target verify stays BF16). tokSOut = client post-first at p512/g128, median n=5, C1, cache OFF (zero prefix_cache_hits_total delta): 112.65 (range 111.58-117.73). Matched same-harness BF16-draft arm was 81.20, not the older Run40 83.7 card. tokSPrefill = actual input/TTFT at p8192/g1 MTP4 n=5: 1696 (flat vs 1691). Accept 510/540=94.44% vs 95.86%. Short agentic +32.8%; 8K/16K long-ctx agentic +37%/+26%. 230 W configured cap; measured median draw 205 W at p512/g128. Speed-only: no token/KL/task-quality parity vs BF16 draft. E2 self-reported. Measured 2026-08-18.

Reactions

—

Submitted

Aug 19, 2026, 6:31 AM

Last edited

—

Qwen3.8-27B

27B · Qwen

Intel Arc Pro B70 32GB
vllmGPTQ-Int483.71,774———
Show all details for Qwen3.8-27B

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

83.7 tok/s

Prefill

1,774 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

0.27.2rc1.dev77+gac7509e2b XPU

Quantization

GPTQ-Int4

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

fp8

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.88

Max running seqs

64

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

vllm serve /model --quantization gptq --dtype float16 --max-model-len 131072 --gpu-memory-utilization 0.88 --kv-cache-dtype fp8 --max-num-seqs 64 --max-num-batched-tokens 8192 --no-enable-prefix-caching --language-model-only --speculative-config {"method":"mtp","num_speculative_tokens":4}

Extra flags

--max-model-len 131072 --no-enable-prefix-caching --language-model-only --speculative-config {method:mtp,num_speculative_tokens:4}

Notes

Single-stream C1. vLLM XPU nightly vllm/vllm-openai-xpu@sha256:f01e24f6c7ff01f1e0662234255a1372297d1dbd89d003cf13c8fad3eab1ba4f, vllm-xpu-kernels 0.1.12.3. Model SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16 (Qwen3_5ForConditionalGeneration, dense 27B, GPTQ-INT4 g128 sym desc_act=false, preserved BF16 MTP head). Patches: patch_mtp_nightly.py + patch_mtp_boundary.py. fp8 KV cache, gpu-memory-utilization 0.88, scheduler 8192, max-num-seqs 64, prefix cache OFF (--no-enable-prefix-caching, zero cache-query delta). MTP4 speculative decode, 1-layer draft. tokSOut = client post-first rate at p512/g128, median n=5 (not engine-native decode); tokSPrefill = actual input tokens / client TTFT at p8192/g1, median n=5, no-spec mode (not llama-bench pp). 230 W configured cap; measured campaign-window mean draw 196 W (MTP4 mode). E2 self-reported; independent reproduction pending. Measured 2026-08-15. Claims-audited: 83.7 tok/s MTP4 p512/g128 n=5 range 78.3-84.4; exact-128K full-context p130944/g128 56.3 tok/s n=1. 2000 t/s prefill NOT reached; max cold-input median 1851 t/s (no-spec p2048/g1).

Reactions

🚀

Submitted

Aug 15, 2026, 7:13 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

Intel Arc Pro B70 32GB
llama.cppQ4_K_M22.31,121———
Show all details for Qwen3.8-27B

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

22.3 tok/s

Prefill

1,121 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. 230W cap (stock). llama-bench tg128 mean 22.30 t/s (+/-0.01, n=5, C1, cold cache). Cold input pp8192 mean 1121.40 t/s (+/-1.89, n=5); pp512 778.80 / pp2048 1115.99 / pp4096 1137.02. Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. Cross-cap note: at matched 150W cap this model runs tg128 mean 17.78 (n=5, separate submission); prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, 150W, Run 9) -- comparisons across caps are directional only. Dense power scaling 150->230W measured +25% decode on this model.

Reactions

—

Submitted

Aug 14, 2026, 3:50 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

Intel Arc Pro B70 32GB
llama.cppQ4_K_M22.31,121———
Show all details for Qwen3.8-27B

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

22.3 tok/s

Prefill

1,121 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. 230W cap (stock). llama-bench tg128 mean 22.30 t/s (+/-0.01, n=5, C1, cold cache). Cold input pp8192 mean 1121.40 t/s (+/-1.89, n=5); pp512 778.80 / pp2048 1115.99 / pp4096 1137.02. Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. Cross-cap note: at matched 150W cap this model runs tg128 mean 17.78 (n=5, separate submission); prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, 150W, Run 9) -- comparisons across caps are directional only. Dense power scaling 150->230W measured +25% decode on this model.

Reactions

—

Submitted

Aug 14, 2026, 3:50 PM

Last edited

—

Qwen3.8-27B

27B · Qwen

Intel Arc Pro B70 32GB
llama.cppQ4_K_M17.8787———
Show all details for Qwen3.8-27B

Model

Qwen/Qwen3.8-27B

Display name

Qwen3.8-27B

Base model

—

Revision

main

Family

Qwen

Parameters

27B

Active params

—

MoE

no

Output

17.8 tok/s

Prefill

787 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

150W

Engine

llama.cpp

Engine version

b10255+ SYCL (071327508) build-sycl-0804

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Qwen3.8-27B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 4096 -t 8 --no-mmap -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Qwen3.8-27B (dense 27B, hybrid GDN linear+full attention, MTP head not in GGUF quant). Community quant unsloth/Qwen3.8-27B-GGUF Q4_K_M (SHA-256 7b2aec3b...cc89f1b) -- weights released 2026-08-14T15:00Z, benched same day. llama-bench tg128 mean 17.78 t/s (+/-0.17, n=5, C1, cold cache). Cold input pp8192 mean 787.45 t/s (+/-1.74, n=5). Load at -c 131072 verified, 10.2 GiB VRAM free after load. KV q8_0 K + q4_1 V, FA on. Correctness: coherent smoke 5/5, deterministic replay pass, token exactness pass; reference parity not run. At matched 150W/build/quant/flags the prior Qwen3.6-27B Q4_K_M ran tg128 21.3 mean (n=3, Run 9); 3.8 mean 17.78 (n=5) -- ~16% slower decode. Comparison directional: different checkpoints, n mismatch (3 vs 5).

Reactions

—

Submitted

Aug 14, 2026, 3:41 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local+DFlash-BF16-local1877,160———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

187 tok/s

Prefill

7,160 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local+DFlash-BF16-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

auto

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

1

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --quantization gptq --dtype float16 --max-model-len 16384 --max-num-seqs 1 --max-num-batched-tokens 8192 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --language-model-only --async-scheduling --speculative-config '{"method":"dflash","model":"/mnt/models2/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-DFlash-BF16","num_speculative_tokens":7}' --host 127.0.0.1 --port 8001

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --language-model-only --async-scheduling --speculative-config {"method":"dflash","model":"/mnt/models2/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-DFlash-BF16","num_speculative_tokens":7}

Notes

Self-reported E2, not independently reproduced. C1 (max_num_seqs=1), prefix cache explicitly off (--no-enable-prefix-caching; enable_prefix_caching=False; zero prefix_cache_hits delta). Timing is client monotonic SSE: tokSOut is median client post-first decode at exact p2048/g128 n=5 = 186.61 t/s (range 174.60-201.83; families research/rag/tool/document/assistant). Additional decode cells on the same warm server: p512/g128 median 194.61 (range 140.20-220.01, acceptance 45.1% — wide family spread, not the representative scalar); p8192/g128 median 157.92 (143.50-170.25, acceptance 53.0%). tokSPrefill is the p8192/g1 n=5 median COLD INPUT RATE from client TTFT (7160 t/s, range 7117-7226), which includes scheduling and first-token work — NOT isolated engine prefill. Also p2048/g1 cold input median 6456 t/s. Spec: method=dflash n_spec=7; window acceptance 1830/3521 = 52.0%. Target is a LOCAL symmetric GPTQ INT4 G64 conversion of the named BF16 repo (not an official HF quant). Draft is a LOCAL NVFP4 E2M1→BF16 reconstruction of NVIDIA DFlash, not a published BF16 draft. Stack: vllm/vllm-openai-xpu@sha256:1da0a95485455f08588c11080b9718992fd7d434c6a965d74654903a9d999c57 plus local det image patches (native grouped-topk v2, SSU B8/W4, at::zeros grouped-GEMM); VLLM_XPU_ENABLE_XPU_GRAPH=1; PIECEWISE+FULL graphs; --async-scheduling; --quantization gptq --dtype float16 --max-model-len 16384 --gpu-memory-utilization 0.90. Configured cap 150 W; measured cell-window averages ~149-160 W; peak interval-average 179.3 W (0.5 s energy1_input on p8192/g128); pkg max 68.0 C. Deterministic raw-completion replay smoke exact_match=true (scope: smoke only, not logit/KL or task-quality). n=3 screen 20260813T080234Z is superseded and was not used. Matched-except-speculation vs prior no-spec n=5 graph campaign (p8192/g128 87.25 t/s): 1.81× on that cell only.

Reactions

—

Submitted

Aug 13, 2026, 8:40 AM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local92.710,349———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

92.7 tok/s

Prefill

10,349 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU) + deterministic grouped-GEMM fix

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /model --dtype bfloat16 --quantization gptq --max-model-len 16384 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --async-scheduling

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --async-scheduling

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=3 median (92.65 t/s, range 92.61-92.65), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). GPTQ conversion published at SergiiioB/Nemotron-3.5-Lightning-30B-A3B-GPTQ-INT4-G64-sym. tokSPrefill = cold input rate at p8192 from median client TTFT (10,349 tok/s; TTFT median 0.7916s, n=3, per-rep 10347-10357) — client-observed rate, NOT isolated engine prefill. NO speculative decoding. Deterministic image with grouped-GEMM at::zeros atomic-buffer fix. Deterministic replay verified (8/8 identical temp-0 requests). 150W cap; measured draw ~89-90W. Claims-auditor verified decode; prefill corrected from earlier 10371 (rounding error).

Reactions

—

Submitted

Aug 12, 2026, 11:54 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local92.710,371———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

92.7 tok/s

Prefill

10,371 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU) + deterministic grouped-GEMM fix

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

gptq

SGLang quant

—

GPU mem util

0.9

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /model --dtype bfloat16 --quantization gptq --max-model-len 16384 --gpu-memory-utilization 0.90 --no-enable-prefix-caching --async-scheduling

Extra flags

--max-model-len 16384 --no-enable-prefix-caching --async-scheduling

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=3 median (92.65 t/s, range 92.61-92.65), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion of BF16 checkpoint (published at SergiiioB/Nemotron-3.5-Lightning-30B-A3B-GPTQ-INT4-G64-sym). tokSPrefill is cold input rate at p8192 from median client TTFT (10,371 tok/s; TTFT 0.791s, n=3) - client-observed rate, NOT isolated engine prefill. NO speculative decoding (native MTP tested: 0% draft acceptance on this stack; N-gram: non-deterministic; DFlash: unsupported). Deterministic image vllm-openai-xpu:1da0a954-det0123 with grouped-GEMM at::zeros atomic-buffer fix (eliminates the XPU FP race). DETERMINISTIC REPLAY VERIFIED: 8 identical temperature-0 requests produce byte-identical output. 150W cap; measured draw ~89-90W.

Reactions

—

Submitted

Aug 12, 2026, 10:37 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local93.08,368———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

8,368 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). tokSPrefill is the cold input rate at exact p8192/g128 from median client TTFT (8,368 tok/s, TTFT median 0.9789s, n=3) - a client-observed input rate including scheduling and first-token work, NOT an isolated engine prefill measurement. NO speculative decoding in this config: native MTP was tested and rejected on this stack (0% draft acceptance), N-gram rejected (temperature-0 nondeterminism), DFlash not supported for this model on this stack. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 9:08 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local93.0————
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

—

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent. Prefill field omitted: no isolated prefill measurement on this stack; TTFT-derived cold input rate is a different metric and is NOT reported as tokSPrefill.

Reactions

—

Submitted

Aug 12, 2026, 9:06 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local93.04,900———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

4,900 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 9:00 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
vllmGPTQ-INT4-G64-sym-local93.04,900———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

93.0 tok/s

Prefill

4,900 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

vllm

Engine version

v0.26.1rc1.dev668+g3ee2df303 (XPU)

Quantization

GPTQ-INT4-G64-sym-local

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

default

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

0.95

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

VLLM_XPU_ENABLE_XPU_GRAPH=1 vllm serve /mnt/models/nemotron-lightning-gptq-sym64-20260812 --host 0.0.0.0 --port 8001 --no-enable-prefix-caching --async-scheduling --gpu-memory-utilization 0.95 --max-model-len 16384 --enforce-eager false --trust-remote-code

Extra flags

--no-enable-prefix-caching --async-scheduling --max-model-len 16384 --enforce-eager false

Notes

Self-reported. C1 client post-first decode, exact p512/g128 n=5 median (93.00 t/s, range 92.96-93.03), prefix cache off, XPU graphs (PIECEWISE+FULL compiled). Local symmetric GPTQ INT4 G64 conversion (not an official quant). Prefill field is cold input rate from TTFT (~4,900 tok/s at p512, ~10,400 tok/s at p8192), not isolated prefill. 150W configured cap; measured decode draw ~89-90W. KNOWN CAVEAT: temperature-0 deterministic replay does not hold on this stack (XPU compiled-kernel FP race at contested tokens); outputs remain coherent.

Reactions

—

Submitted

Aug 12, 2026, 8:59 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

3B MoE

Intel Arc Pro B70 32GB
llama.cppQ4_087.4766———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

Model

bartowski/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF

Base model

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

87.4 tok/s

Prefill

766 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_0

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE, 128 experts/7 active). Q4_0 quantization (17.44 GiB, requantized from Q4_K_M). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 95-99% acceptance, n=5 median). No-spec decode: 68.0 t/s. Q4_0 delivers +78% over Q4_K_M (38->68 t/s no-spec) due to simpler GEMV dequantization. Measured power: 134.0W avg (cap 230W). GPU temp: ~64C. Custom kernel fusion: ssm_conv bias+SiLU, ssm_scan dt_bias+D*x, MMQ/XMX dispatch override. Build: llama.cpp SYCL f785fc9ea. KV: q8_0/q4_1, FA on.

Reactions

—

Submitted

Aug 12, 2026, 6:53 AM

Last edited

—

Muse-Glimmer-30B

30B

Intel Arc Pro B70 32GB
llama.cppQ4_K_XL29.21,301———
Show all details for Muse-Glimmer-30B

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

29.2 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b284 SYCL (d2f83055d) GGML_SYCL_F16=ON

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

8192

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

yes

Spec method

—

Spec model

dflash-draft.gguf

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Muse-Glimmer-30B-UD-Q4_K_XL.gguf -md dflash-draft.gguf --spec-type draft-dflash --spec-draft-n-max 2 -ngl 99 -ngld 99 -fa on -ctk q8_0 -ctv q4_1 -c 131072 -b 8192 -ub 8192 -t 8 -dev SYCL0

Extra flags

--spec-type draft-dflash --spec-draft-n-max 2 --ngld 99 --ctk q8_0 --ctv q4_1 --b 8192 --dev SYCL0

Notes

Meta Muse-Glimmer-30B (dense 30B multimodal, vision+reasoning). Decode with DFlash speculative decoding (draft-dflash, n-max=2). p512/g128 median 29.2 t/s (max 31.8, n=5, Run 33). No-spec baseline: 25.3 t/s (Run 34). Measured at 230W cap. GGML_SYCL_F16=ON mandatory for this architecture (3.4x prefill loss without it). Build: llama.cpp SYCL d2f83055d (build 284). KV: q8_0 K + q4_1 V, FA on, -ngl 99 -ub 8192. Model: Muse-Glimmer-30B-UD-Q4_K_XL (15 GB). Multimodal verified (vision mmproj). Day-0 adoption: llama.cpp PR #26841 merged.

Reactions

—

Submitted

Aug 11, 2026, 9:55 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
llama.cppQ4_087.4766———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

87.4 tok/s

Prefill

766 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_0

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m Nemotron-3.5-Lightning-30B-A3B-Q4_0.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE, 128 experts/7 active). Q4_0 quantization (17.44 GiB, requantized from Q4_K_M). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 95-99% acceptance, n=5 median). No-spec decode: 68.0 t/s. Q4_0 delivers +78% over Q4_K_M (38->68 t/s no-spec) due to simpler GEMV dequantization. Measured power: 134.0W avg (cap 230W). GPU temp: ~64C. Custom kernel fusion: ssm_conv bias+SiLU, ssm_scan dt_bias+D*x, MMQ/XMX dispatch override. Build: llama.cpp SYCL f785fc9ea. KV: q8_0/q4_1, FA on.

Reactions

—

Submitted

Aug 11, 2026, 9:55 PM

Last edited

—

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

3B MoE

Intel Arc Pro B70 32GB
llama.cppQ4_K_M49.81,027———
Show all details for NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Model

nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Display name

NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

3B

MoE

yes

Output

49.8 tok/s

Prefill

1,027 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

16384

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

AMD Ryzen 7 5700X3D (8 threads)

RAM

30GB

OS

Linux

Power

230W

Engine

llama.cpp

Engine version

b306 SYCL (f785fc9ea) + custom Mamba2 kernel fusion + MMQ/XMX dispatch

Quantization

Q4_K_M

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

99

Split mode

—

KV cache dtype

q8_0/q4_1

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

yes

Chunked prefill

—

Prefill chunk

4096

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

1

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

8

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

llama-server -m NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_K_M.gguf -ngl 99 -ncmoe 0 -fa on -ctk q8_0 -ctv q4_1 -c 16384 -b 8192 -ub 4096 -t 8 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 -dev SYCL0

Extra flags

--ncmoe 0 --ctk q8_0 --ctv q4_1 --b 8192 --spec-type draft-mtp --spec-draft-n-max 4 --spec-draft-p-min 0.75 --dev SYCL0

Notes

Nemotron 3.5 Lightning 30B-A3B (hybrid Mamba2-Transformer MoE). Decode with native MTP speculative decoding (draft-mtp, n-max=4, 98.6% acceptance, n=5 median). No-spec decode: 38.2 t/s. Measured power draw: 140.3W avg (cap 230W). GPU temp: 63.9C avg. Custom kernel fusion: ssm_conv bias+SiLU fused, ssm_scan dt_bias+D*x fused, MMQ/XMX dispatch override for K-quant GEMV. Build: llama.cpp SYCL f785fc9ea. KV: q8_0 K + q4_1 V, FA on, -ngl 99 -ncmoe 0.

Reactions

—

Submitted

Aug 11, 2026, 8:04 PM

Last edited

—

Muse-Glimmer-30B

30B

Intel Arc Pro B70 32GB
llama.cppQ4_K_XL26.81,301———
Show all details for Muse-Glimmer-30B

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

26.8 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

llama.cpp

Engine version

d2f83055d (284) SYCL

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

Extra flags

—

Notes

Muse-Glimmer-30B UD-Q4_K_XL GGUF, llama.cpp SYCL d2f83055d (GGML_SYCL_F16=ON), single-stream C1. Decode = engine timings.predicted_per_second with DFlash draft n_max=2, p512/g128 median n=5, 128K ctx, 230W cap; no-spec baseline 22.5. Prefill = llama-bench pp4096. Reasoning model (decode includes reasoning tokens). E2 provisional self-report. 2026-08-10 (Run 33-35).

Reactions

—

Submitted

Aug 10, 2026, 7:11 PM

Last edited

—

Muse-Glimmer-30B

30B

Intel Arc Pro B70 32GB
llama.cppQ4_K_XL26.81,301———
Show all details for Muse-Glimmer-30B

Model

meta-models/Muse-Glimmer-30B

Display name

Muse-Glimmer-30B

Base model

—

Revision

main

Family

—

Parameters

30B

Active params

—

MoE

no

Output

26.8 tok/s

Prefill

1,301 tok/s

Total

—

TTFT

—

Peak VRAM

—

Power draw

—

Hardware cost

—

Prompt tokens

0

Output tokens

0

Prefill tokens

—

Context length

131072

Batch size

1

Hardware class

DISCRETE_GPU

Hardware

Intel Arc Pro B70 32GB

GPU slots

—

GPU count

1

VRAM

32GB

Chip vendor

—

Chip family

—

Chip variant

—

Unified memory

—

NPU TOPS

—

CPU

—

RAM

—

OS

Linux

Power

—

Engine

llama.cpp

Engine version

d2f83055d (284) SYCL

Quantization

Q4_K_XL

Backend

xpu

Tensor parallel

—

Pipeline parallel

—

GPU layers

—

Split mode

—

KV cache dtype

—

KV cache size

—

Prefix caching

—

Attention backend

—

Flash attention

—

Chunked prefill

—

Prefill chunk

—

Continuous batching

—

CPU offload

—

CPU layers

—

Rope scaling

—

Rope scale

—

Yarn ext factor

—

Engine quant

—

SGLang quant

—

GPU mem util

—

Max running seqs

—

Scheduler delay

—

Num parallel

—

Concurrency

—

Spec decoding

no

Spec method

—

Spec model

—

Spec draft model

—

Spec tokens

—

Spec ngram

—

Spec draft TP

—

Spec draft window

—

MTP enabled

no

MTP draft layers

—

Temperature

—

Top P

—

Top K

—

Min P

—

Repeat penalty

—

Mirostat

—

Command

Extra flags

—

Notes

Muse-Glimmer-30B UD-Q4_K_XL GGUF, llama.cpp SYCL d2f83055d (GGML_SYCL_F16=ON), single-stream C1. Decode = engine timings.predicted_per_second with DFlash draft n_max=2, p512/g128 median n=5, 128K ctx, 230W cap; no-spec baseline 22.5. Prefill = llama-bench pp4096. Reasoning model (decode includes reasoning tokens). E2 provisional self-report. 2026-08-10 (Run 33-35).

Reactions

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Submitted

Aug 10, 2026, 7:11 PM

Last edited

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