Instructions to use mlx-community/CodeLlama-7b-Python-hf-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-hf-4bit 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/CodeLlama-7b-Python-hf-4bit") 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/CodeLlama-7b-Python-hf-4bit 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/CodeLlama-7b-Python-hf-4bit" --prompt "Once upon a time"
Upload folder using huggingface_hub
Browse files
README.md
CHANGED
|
@@ -10,7 +10,8 @@ pipeline_tag: text-generation
|
|
| 10 |
|
| 11 |
# CodeLlama-7b-Python-hf-4bit
|
| 12 |
|
| 13 |
-
This model was converted to MLX format from codellama/CodeLlama-7b-Python-hf
|
|
|
|
| 14 |
|
| 15 |
## Use with mlx
|
| 16 |
|
|
|
|
| 10 |
|
| 11 |
# CodeLlama-7b-Python-hf-4bit
|
| 12 |
|
| 13 |
+
This model was converted to MLX format from [`codellama/CodeLlama-7b-Python-hf`]().
|
| 14 |
+
Please, refer to the [original model card](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) for more details on the original model.
|
| 15 |
|
| 16 |
## Use with mlx
|
| 17 |
|