← AI Hashrate 中文

Can Tesla P4 8GB run Qwen3-4B-Thinking-2507?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Alibaba · 4.0B · model ctx up to 256K

AA · GreatComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA

Yes — the Tesla P4 8GB (8 GB GDDR5) can run Qwen3-4B-Thinking-2507. At Q4 with the default 8K context it needs ≈ 4.0 GB VRAM (weights 2.2 GB + KV cache 0.8 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 30.5 tok/s (estimated, batch 1). FP16 needs ≈ 9.8 GB — does not fit on this card. Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology. Buy Tesla P4 8GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K3.6 GBYes30.5 ± est.
Q48K default4.0 GBYes30.5 ± est.
Q432K6.4 GBYes30.5 ± est.
FP164K9.4 GBNo17.3 ± est.
FP168K default9.8 GBNo15.9 ± est.
FP1632K12.2 GBNo10.3 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededTesla P4 8GB VRAM
Q42.2 GB0.8 GB1 GB4.0 GB8 GB
FP168.0 GB0.8 GB1 GB9.8 GB8 GB

Other GPUs that run Qwen3-4B-Thinking-2507

All GPUs for Qwen3-4B-Thinking-2507 →

Other models for the Tesla P4 8GB

All models on the Tesla P4 8GB →