Text Generation
MLX
English
sol_milkshake
causal-lm
decoder-only
small-language-model
recurrent-depth
ngpt
research
Instructions to use solintellegence/Sol-Milkshake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use solintellegence/Sol-Milkshake 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-Milkshake") 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-Milkshake 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-Milkshake" --prompt "Once upon a time"
- Atomic Chat
Download sol-milkshake from solintellegence/Sol-Milkshake: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/solintellegence/Sol-Milkshake/resolve/main/sol-milkshake
- Command line
-
hf download hf://solintellegence/Sol-Milkshake/sol-milkshake
-
curl -L -o sol-milkshake https://huggingface.co/solintellegence/Sol-Milkshake/resolve/main/sol-milkshake
1.37 MB
- Xet hash:
- e723b464a41e6786c35698efcc950acd2327ab019a8007f9a54c744e66853160
- Size of remote file:
- 1.37 MB
- SHA256:
- 2146f6f2633f4354a35261450c5e4f77986c54472184aba1a537dfe705e3a9fb
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