Instructions to use joseluissaorin/talkie-1930-13b-it-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use joseluissaorin/talkie-1930-13b-it-mlx-q4 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("joseluissaorin/talkie-1930-13b-it-mlx-q4") 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 joseluissaorin/talkie-1930-13b-it-mlx-q4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "joseluissaorin/talkie-1930-13b-it-mlx-q4" --prompt "Once upon a time"
- Atomic Chat
Download model-00002-of-00007.safetensors from joseluissaorin/talkie-1930-13b-it-mlx-q4: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/joseluissaorin/talkie-1930-13b-it-mlx-q4/resolve/main/model-00002-of-00007.safetensors
- Command line
-
hf download hf://joseluissaorin/talkie-1930-13b-it-mlx-q4/model-00002-of-00007.safetensors
-
curl -L -o model-00002-of-00007.safetensors https://huggingface.co/joseluissaorin/talkie-1930-13b-it-mlx-q4/resolve/main/model-00002-of-00007.safetensors
1.2 GB
- Xet hash:
- 5b8bff2e10aee26ee18fa6e4d8154d49217d933178f0a13f9224096211637fa6
- Size of remote file:
- 1.2 GB
- SHA256:
- e9e57a6570a6fa74a7966dc166d94c3ce5db8da4e0e2dea854880fbe488550b3
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