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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 70B

Llama 5 70B · Q4_K_M

L0 Self-reported

Apple M5 Max · 128GB · llama.cpp

Other

Today

11.3 tok/s

Decode

84.8 tok/s

Prefill

1.18 s

TTFT

43 GB

VRAM

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

Sources: Other · 1 runs · 1 independent sources

Llama 5 70B · IQ2_XS

L0 Self-reported

Apple M4 Max · 128GB · llama.cpp

Other

Today

18 tok/s

Decode

135 tok/s

Prefill

0.74 s

TTFT

24.1 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 70B · IQ2_XS

L0 Self-reported

NVIDIA RTX 5070 SUPER · 18GB · Strata

Other

Today

38 tok/s

Decode

285 tok/s

Prefill

0.35 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

Llama 5 70B · Q5_K_M

L0 Self-reported

NVIDIA RTX 5080 SUPER · 24GB · llama.cpp

Other

Today

16.8 tok/s

Decode

126 tok/s

Prefill

0.79 s

TTFT

24 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q5_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Llama 5 70B · Q4_K_M

L0 Self-reported

NVIDIA RTX 5090 · 32GB · vLLM

Other

Today

35.8 tok/s

Decode

268.5 tok/s

Prefill

0.37 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

Llama 5 70B · Q4_K_M

L0 Self-reported

NVIDIA RTX 4090 · 24GB · llama.cpp

Other

Today

18.5 tok/s

Decode

138.8 tok/s

Prefill

0.72 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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