README.md

metadata

license: other
license_name: apple-sample-code-license
license_link: LICENSE
base_model: asjoberg/openELM-270M-instruct-predli
tags:
  - mlx
  - mlx

asjoberg/openELM-270M-instruct-predli-finetuned-fused

The Model asjoberg/openELM-270M-instruct-predli-finetuned-fused was converted to MLX format from asjoberg/openELM-270M-instruct-predli using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("asjoberg/openELM-270M-instruct-predli-finetuned-fused")

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)