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
File size: 220 Bytes
7aa9bc4 | 1 2 3 4 5 6 7 8 9 | {
"backend": "tokenizers",
"clean_up_tokenization_spaces": false,
"eos_token": "<|eos|>",
"model_max_length": 1000000000000000019884624838656,
"tokenizer_class": "TokenizersBackend",
"unk_token": "<|unk|>"
}
|