README.md

metadata

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

TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce

The Model TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce was converted to MLX format from HuggingFaceTB/SmolLM2-360M-Instruct using mlx-lm version 0.20.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/SmolLM2-360M-Instruct-MLX-104ce")

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)