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Can Tesla P4 8GB run Qwen2.5-7B-Instruct?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Alibaba · 7.6B · model ctx up to 128K

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

Yes — the Tesla P4 8GB (8 GB GDDR5) can run Qwen2.5-7B-Instruct. At Q4 with the default 8K context it needs ≈ 6.7 GB VRAM (weights 4.18 GB + KV cache 1.52 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 16.1 tok/s (estimated, batch 1). FP16 needs ≈ 17.72 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)
Q44K5.94 GBYes16.1 ± est.
Q48K default6.7 GBYes16.1 ± est.
Q432K11.26 GBNo23.0 ± est.
FP164K16.96 GBNo2.8 ± est.
FP168K default17.72 GBNo2.6 ± est.
FP1632K22.28 GBNo1.6 ± 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
Q44.18 GB1.52 GB1 GB6.7 GB8 GB
FP1615.2 GB1.52 GB1 GB17.72 GB8 GB

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