Instructions to use mlx-community/Mellum-4b-sft-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mellum-4b-sft-python 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/Mellum-4b-sft-python") 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/Mellum-4b-sft-python 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/Mellum-4b-sft-python" --prompt "Once upon a time"
- Atomic Chat
Download generation_config.json from mlx-community/Mellum-4b-sft-python: direct link, hf CLI and curl.
- Browser
- Download file 132 Bytes
-
https://huggingface.co/mlx-community/Mellum-4b-sft-python/resolve/main/generation_config.json
- Command line
-
hf download hf://mlx-community/Mellum-4b-sft-python/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/mlx-community/Mellum-4b-sft-python/resolve/main/generation_config.json
132 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.51.3" | |
| } | |