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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.

ModelLlama 5 405B

Llama 5 405B · IQ3_S

L0 Self-reported

NVIDIA RTX PRO 6000 Blackwell · 96GB · vLLM

Other

Today

9.3 tok/s

Decode

69.8 tok/s

Prefill

1.43 s

TTFT

96 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ3_S vLLM 0.7.3 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Llama 5 405B · IQ2_XS

L0 Self-reported

2x NVIDIA RTX 5090 · 64GB · vLLM

Other

Today

— tok/s

Decode

— tok/s

Prefill

— s

TTFT

64 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XS vLLM 0.7.3 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Llama 5 405B · IQ2_XXS

L0 Self-reported

NVIDIA RTX 5070 SUPER · 18GB · Strata

Other

Today

7.8 tok/s

Decode

58.5 tok/s

Prefill

1.71 s

TTFT

18 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XXS Strata 0.5.2 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Llama 5 405B · IQ2_XS

L0 Self-reported

NVIDIA RTX 5080 SUPER · 24GB · llama.cpp

Other

Today

6.4 tok/s

Decode

48 tok/s

Prefill

2.08 s

TTFT

24 GB

VRAM

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

Sources: Other · 1 runs · 1 independent sources

Llama 5 405B · IQ2_XS

L0 Self-reported

NVIDIA RTX 5090 · 32GB · vLLM

Other

Today

11.1 tok/s

Decode

83.3 tok/s

Prefill

1.2 s

TTFT

32 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XS vLLM 0.7.3 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Llama 5 405B · IQ2_XXS

L0 Self-reported

NVIDIA RTX 4090 · 24GB · llama.cpp

Other

Today

6.8 tok/s

Decode

51 tok/s

Prefill

1.96 s

TTFT

24 GB

VRAM

Config (latest run)
Linux CUDA 12.6 IQ2_XXS llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

6 results

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