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Can Tesla P4 8GB run Mistral-7B-Instruct-v0.3?

NVIDIA · 8 GB GDDR5 · 192 GB/s bandwidth · Mistral · 7.2B · model ctx up to 32K

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 Mistral-7B-Instruct-v0.3. At Q4 with the default 8K context it needs ≈ 6.4 GB VRAM (weights 3.96 GB + KV cache 1.44 GB + 1 GB runtime overhead), which fits within 8 GB. Decode at Q4/8K: ≈ 17.0 tok/s (estimated, batch 1). FP16 needs ≈ 16.84 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)
Q44K5.68 GBYes17.0 ± est.
Q48K default6.4 GBYes17.0 ± est.
Q432K10.72 GBNo26.8 ± est.
FP164K16.12 GBNo3.3 ± est.
FP168K default16.84 GBNo3.0 ± est.
FP1632K21.16 GBNo1.9 ± 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
Q43.96 GB1.44 GB1 GB6.4 GB8 GB
FP1614.4 GB1.44 GB1 GB16.84 GB8 GB

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