Text Generation
MLX
Safetensors
Portuguese
llama
mlx-lm
cpu
local-inference
pt-br
small-language-model
causal-lm
float16
quantized
4-bit precision
apple-silicon
portuguese
brazilian-portuguese
Instructions to use guicybercode/Tucano-630m-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use guicybercode/Tucano-630m-mlx-4bit 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("guicybercode/Tucano-630m-mlx-4bit") 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 guicybercode/Tucano-630m-mlx-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "guicybercode/Tucano-630m-mlx-4bit" --prompt "Once upon a time"
- Atomic Chat
Download tokenizer.json from guicybercode/Tucano-630m-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 2.26 MB
-
https://huggingface.co/guicybercode/Tucano-630m-mlx-4bit/resolve/main/tokenizer.json
- Command line
-
hf download hf://guicybercode/Tucano-630m-mlx-4bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/guicybercode/Tucano-630m-mlx-4bit/resolve/main/tokenizer.json
2.26 MB
File too large to display, you can check the raw version instead.