Mistral AI · First MLX build 21 Jan 2025
Mamba-Codestral-7B-v0.1
MLX
apache-2.0
A 7.3B parameter model from Mistral AI, with 4 MLX builds, from 4-bit to 8-bit.
- Parameters
- 7.3B From Hugging Face
- Quantisation
- 4-bit Mamba-Codestral-7B-v0.1-4bit
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 975 MB Weights, estimated
- Downloads
- 74 This build, last 30 days
- Task
- —
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 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/Mamba-Codestral-7B-v0.1-4bitMLX builds
4 on mlx-community| Mamba-Codestral-7B-v0.1-4bit | 4-bit | 975 MB | 4 GB | 74 |
|---|---|---|---|---|
| Mamba-Codestral-7B-v0.1-6bit | 6-bit | 1.6 GB | 4 GB | 33 |
| Mamba-Codestral-7B-v0.1-8bit | 8-bit | 2.4 GB | 5 GB | 69 |
| Mamba-Codestral-7B-v0.1 | Unstated | 14.6 GB | 19 GB | 72 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.