NVIDIA · 32 GB GDDR7 · 1792 GB/s bandwidth ·
Mistral · 7.2B · model ctx up to 32K
Yes — the RTX 5090 32GB (32 GB GDDR7) 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 32 GB. Decode at Q4/8K: ≈ 255.9 tok/s (measured, batch 1). FP16 (≈ 16.84 GB) also fits, at ≈ 43.6 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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
5.68 GB
Yes
255.9measured
Q4
8K default
6.4 GB
Yes
255.9measured
Q4
32K
10.72 GB
Yes
255.9measured
FP16
4K
16.12 GB
Yes
43.6est.
FP16
8K default
16.84 GB
Yes
43.6est.
FP16
32K
21.16 GB
Yes
43.6est.
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).