MLX Community · First MLX build 24 Jul 2024
Mistral-Large-Instruct-2407
MLX
mrl
A 123B parameter model, with 3 MLX builds, from 4-bit to bf16.
- Parameters
- 123B From Hugging Face
- Quantisation
- 4-bit Mistral-Large-Instruct-2407-4bit
- Memory needed
- 80 GB Estimate, unified memory
- Download
- 69.0 GB Weights, estimated
- Downloads
- 700 This build, last 30 days
- Task
- —
- MLX builds
- 3 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 80 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/Mistral-Large-Instruct-2407-4bitMLX builds
3 on mlx-community| Mistral-Large-Instruct-2407-4bit | 4-bit | 69.0 GB | 80 GB | 700 |
|---|---|---|---|---|
| Mistral-Large-Instruct-2407-8bit | 8-bit | 130 GB | 148 GB | 124 |
| Mistral-Large-Instruct-2407-bf16 | bf16 | 245 GB | 277 GB | 81 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.