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Found 6 run configurations

Each row is a run configuration (model + hardware + framework + quantization); repeated runs of the same setup are merged — raw counts appear in each result’s source line.

ModelQwen 4 72B

Qwen 4 72B · Q4_K_M

L0 Self-reported

Apple M5 Max · 128GB · llama.cpp

Other

Today

11 tok/s

Decode

82.5 tok/s

Prefill

1.21 s

TTFT

44.2 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen 4 72B · IQ2_XS

L0 Self-reported

Apple M4 Max · 128GB · llama.cpp

Other

Today

17.5 tok/s

Decode

131.3 tok/s

Prefill

0.76 s

TTFT

24.8 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XS llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen 4 72B · IQ2_XS

L0 Self-reported

NVIDIA RTX 5070 SUPER · 18GB · Strata

Other

Today

36.9 tok/s

Decode

276.8 tok/s

Prefill

0.36 s

TTFT

18 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XS Strata 0.5.2 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen 4 72B · Q4_K_M

L0 Self-reported

NVIDIA RTX 5080 SUPER · 24GB · llama.cpp

Other

Today

20 tok/s

Decode

150 tok/s

Prefill

0.67 s

TTFT

24 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen 4 72B · Q4_K_M

L0 Self-reported

NVIDIA RTX 5090 · 32GB · vLLM

Other

Today

34.9 tok/s

Decode

261.8 tok/s

Prefill

0.38 s

TTFT

32 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M vLLM 0.7.3 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen 4 72B · Q4_K_M

L0 Self-reported

NVIDIA RTX 4090 · 24GB · llama.cpp

Other

Today

18 tok/s

Decode

135 tok/s

Prefill

0.74 s

TTFT

24 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

6 results

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