← AI Hashrate 中文

Can Titan V 12GB run Mistral-7B-Instruct-v0.3?

NVIDIA · 12 GB HBM2 · 652.8 GB/s bandwidth · Mistral · 7.2B · model ctx up to 32K

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

Yes — the Titan V 12GB (12 GB HBM2) 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 12 GB. Decode at Q4/8K: ≈ 57.7 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 Titan V 12GB on Amazon →

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K5.68 GBYes57.7 ± est.
Q48K default6.4 GBYes57.7 ± est.
Q432K10.72 GBYes57.7 ± est.
FP164K16.12 GBNo25.0 ± est.
FP168K default16.84 GBNo22.9 ± est.
FP1632K21.16 GBNo14.5 ± 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 neededTitan V 12GB VRAM
Q43.96 GB1.44 GB1 GB6.4 GB12 GB
FP1614.4 GB1.44 GB1 GB16.84 GB12 GB

Other GPUs that run Mistral-7B-Instruct-v0.3

All GPUs for Mistral-7B-Instruct-v0.3 →

Other models for the Titan V 12GB

All models on the Titan V 12GB →