Text Generation
MLX
English
German
next-concept-modeling
apple-silicon
diffusion-lm
research-code
negative-results
Instructions to use Red-fuchs/ncm-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Red-fuchs/ncm-modular 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("Red-fuchs/ncm-modular") 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 Red-fuchs/ncm-modular with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Red-fuchs/ncm-modular" --prompt "Once upon a time"
- Atomic Chat
Commit History
2 days ago
-
ncm-modular: initial release (code + results, no weights)
Verified signatureb5731a6