library_name, license, language, pipeline_tag, tags, base_model

library_name	license	language	pipeline_tag	tags	base_model
transformers	apache-2.0	en	text-generation	safetensors onnx transformers.js mlx	HuggingFaceTB/SmolLM2-360M-Instruct

mlx-community/SmolLM2-360M-Instruct-bf16-mlx

The Model mlx-community/SmolLM2-360M-Instruct-bf16-mlx was converted to MLX format from HuggingFaceTB/SmolLM2-360M-Instruct using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/SmolLM2-360M-Instruct-bf16-mlx")

prompt = "hello"

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

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