Text Generation
MLX
English
sol_lassi
causal-lm
decoder-only
small-language-model
experimental
sol-intelligence
Instructions to use solintellegence/Sol-Lassi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use solintellegence/Sol-Lassi 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("solintellegence/Sol-Lassi") 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 solintellegence/Sol-Lassi with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "solintellegence/Sol-Lassi" --prompt "Once upon a time"
- Atomic Chat
Download model.npz from solintellegence/Sol-Lassi: direct link, hf CLI and curl.
- Browser
- Download file 2.41 MB
-
https://huggingface.co/solintellegence/Sol-Lassi/resolve/main/model.npz
- Command line
-
hf download hf://solintellegence/Sol-Lassi/model.npz
-
curl -L -o model.npz https://huggingface.co/solintellegence/Sol-Lassi/resolve/main/model.npz
2.41 MB
- Xet hash:
- cdd13244228f1d703c156f9250afb4007ee0913a4a909461abd78a460fac9370
- Size of remote file:
- 2.41 MB
- SHA256:
- 7734c37961b04ba9eda11747023439e1ff47a444f0a2c44b1d5c56d110a96eaa
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