Instructions to use dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit --local-dir Mistral-7B-Instruct-v0.3-mlx-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit
The Model dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit was converted to MLX format from mistralai/Mistral-7B-Instruct-v0.3 using mlx-lm version 0.14.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("dfurman/Mistral-7B-Instruct-v0.3-mlx-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)
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Model size
7B params
Tensor type
U32
ยท
F16 ยท
Hardware compatibility
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