Instructions to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/Mistral-7B-Instruct-v0.2-4-bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/Mistral-7B-Instruct-v0.2-4-bit" --prompt "Once upon a time"
- Atomic Chat
Update README.md
#2
by akashicmarga - opened
README.md
CHANGED
|
@@ -25,7 +25,7 @@ git clone https://github.com/ml-explore/mlx-examples.git
|
|
| 25 |
|
| 26 |
# Download model
|
| 27 |
export HF_HUB_ENABLE_HF_TRANSFER=1
|
| 28 |
-
huggingface-cli download --local-dir-use-symlinks False --local-dir mlx_model
|
| 29 |
|
| 30 |
# Run example
|
| 31 |
python mlx-examples/mistral/mistral.py --prompt "My name is"
|
|
|
|
| 25 |
|
| 26 |
# Download model
|
| 27 |
export HF_HUB_ENABLE_HF_TRANSFER=1
|
| 28 |
+
huggingface-cli download --local-dir-use-symlinks False --local-dir mlx_model mmlx-community/Mistral-7B-Instruct-v0.2-4-bit
|
| 29 |
|
| 30 |
# Run example
|
| 31 |
python mlx-examples/mistral/mistral.py --prompt "My name is"
|