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Can RTX 4090 24GB run Mistral-7B-Instruct-v0.3?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · Mistral · 7.2B · model ctx up to 32K

Yes — the RTX 4090 24GB (24 GB GDDR6X) 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 24 GB. Decode at Q4/8K: ≈ 95.0 tok/s (measured, batch 1). FP16 (≈ 16.84 GB) also fits, at ≈ 24.5 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K5.68 GBYes95.0 measured
Q48K default6.4 GBYes95.0 measured
Q432K10.72 GBYes95.0 measured
FP164K16.12 GBYes24.5 est.
FP168K default16.84 GBYes24.5 est.
FP1632K21.16 GBYes24.5 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 neededRTX 4090 24GB VRAM
Q43.96 GB1.44 GB1 GB6.4 GB24 GB
FP1614.4 GB1.44 GB1 GB16.84 GB24 GB

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