Instructions to use GeneLab/3LM-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GeneLab/3LM-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("GeneLab/3LM-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 GeneLab/3LM-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 "GeneLab/3LM-MLX" --prompt "Once upon a time"
- Atomic Chat
Download tokenizer.model from GeneLab/3LM-MLX: direct link, hf CLI and curl.
- Browser
- Download file 573 kB
-
https://huggingface.co/GeneLab/3LM-MLX/resolve/main/tokenizer.model
- Command line
-
hf download hf://GeneLab/3LM-MLX/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/GeneLab/3LM-MLX/resolve/main/tokenizer.model
573 kB
- Xet hash:
- 419e72098baf04ede8c11152cd6b5beda5fa5e462608ad0c1ab2ae07d426ee53
- Size of remote file:
- 573 kB
- SHA256:
- b52694eb9832e97044081a3e2f893666225b9e5bf22c5fd32a3ce5cefcb4fbb8
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