Mistral123B params128k contextpopular

Mistral Large 123B locally

Mistral Large 123B is an open-weight LLM from the Mistral family with 123B parameters. Main use: chat, RAG and general assistance. Detected minimum hardware: NVIDIA A100 80GB (80 GB).

Technical facts
Parameters123B
Max context128k
Q4_K_M77.3 GB
Q5_K_M94.5 GB
Q8137.5 GB
FP16274.9 GB
FamilyMistral
Last sync2026-05-12

Available quantizations

Q4_K_M
77.3GB

Acceptable. Good compromise when VRAM is limited.

Q5_K_M
94.5GB

Good quality. Sweet spot for size and precision.

Q8
137.5GB

Near-FP16 quality. Comfortable for production.

FP16
274.9GB

Reference precision. Maximum quality, doubled VRAM.

Compatible GPUs

GPUs that can run Mistral Large 123B on a single card, ranked by VRAM headroom.

Recommended multi-GPU rigs

For Mistral Large 123B at higher quantization or with more context, a multi-GPU rig gives more headroom.

Recommended rig

4× TITAN RTX

Mistral Large 123B with Ubuntu, vLLM, Open WebUI and the model already downloaded.

Configure

Similar models

VRAM estimates: parameters x bits/8 plus margin. Real performance varies by engine, context length and batch size.
sync: 2026-05-12