Instructions to use GeneLab/3LM-MLX-GAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GeneLab/3LM-MLX-GAL 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("GeneLab/3LM-MLX-GAL") 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 GeneLab/3LM-MLX-GAL with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "GeneLab/3LM-MLX-GAL" --prompt "Once upon a time"
- Atomic Chat
Download config.json from GeneLab/3LM-MLX-GAL: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/GeneLab/3LM-MLX-GAL/resolve/main/config.json
- Command line
-
hf download hf://GeneLab/3LM-MLX-GAL/config.json
-
curl -L -o config.json https://huggingface.co/GeneLab/3LM-MLX-GAL/resolve/main/config.json
198 Bytes
| { | |
| "vocab_size": 32000, | |
| "block_size": 512, | |
| "n_layer": 6, | |
| "n_head": 8, | |
| "n_embd": 512, | |
| "dropout": 0.05, | |
| "arch": "3lm", | |
| "mlp_hidden": 1408, | |
| "rope_theta": 10000.0, | |
| "norm_eps": 1e-05 | |
| } |