library_name, license, language, base_model, tags

library_name	license	language	base_model	tags
transformers	apache-2.0	en	HuggingFaceTB/SmolLM2-1.7B-Instruct	mlx

mlx-community/SmolLM2-1.7B-Instruct

The Model mlx-community/SmolLM2-1.7B-Instruct was converted to MLX format from HuggingFaceTB/SmolLM2-1.7B-Instruct using mlx-lm version 0.19.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/SmolLM2-1.7B-Instruct")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)