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 model.npz from solintellegence/Sol-Milkshake: direct link, hf CLI and curl.
- Browser
- Download file 12 MB
-
https://huggingface.co/solintellegence/Sol-Milkshake/resolve/main/model.npz
- Command line
-
hf download hf://solintellegence/Sol-Milkshake/model.npz
-
curl -L -o model.npz https://huggingface.co/solintellegence/Sol-Milkshake/resolve/main/model.npz
12 MB
- Xet hash:
- 876cf78138f6a7ebe033634bf3a0cf3271fb1f87bbc28131061336b50b490440
- Size of remote file:
- 12 MB
- SHA256:
- b8bd1efee28989bd49c85c70d72824c91c3872b871a34f48ccad21903b8ef36a
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