Text Generation
MLX
English
mamba
ssm
hybrid
transformer
from-scratch
custom-architecture
apple-silicon
Instructions to use TreeLeek/TCF-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TreeLeek/TCF-1 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("TreeLeek/TCF-1") 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 TreeLeek/TCF-1 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "TreeLeek/TCF-1" --prompt "Once upon a time"
- Xet hash:
- 263d2886b71e7372632bb09443233b1d41fde31e0f65d7e5902265a898ff3f33
- Size of remote file:
- 770 kB
- SHA256:
- 521894f7da4889a4fde1efd1dafb0cce1ace8603a9c00ef66577c189714b4a94
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