Instructions to use mlx-community/CodeLlama-7b-Python-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-mlx 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-mlx") 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-mlx 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-mlx" --prompt "Once upon a time"
config-json
#5
by pcuenq HF Staff - opened
- README.md +1 -0
- params.json → config.json +2 -1
README.md
CHANGED
|
@@ -1,5 +1,6 @@
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-generation
|
|
|
|
| 3 |
inference: false
|
| 4 |
tags:
|
| 5 |
- facebook
|
|
|
|
| 1 |
---
|
| 2 |
pipeline_tag: text-generation
|
| 3 |
+
library_name: mlx
|
| 4 |
inference: false
|
| 5 |
tags:
|
| 6 |
- facebook
|
params.json → config.json
RENAMED
|
@@ -5,5 +5,6 @@
|
|
| 5 |
"multiple_of": 256,
|
| 6 |
"ffn_dim_multiplier": 1.0,
|
| 7 |
"norm_eps": 1e-5,
|
| 8 |
-
"rope_theta": 1000000
|
|
|
|
| 9 |
}
|
|
|
|
| 5 |
"multiple_of": 256,
|
| 6 |
"ffn_dim_multiplier": 1.0,
|
| 7 |
"norm_eps": 1e-5,
|
| 8 |
+
"rope_theta": 1000000,
|
| 9 |
+
"model_type": "llama"
|
| 10 |
}
|