README.md

metadata

license: mit
datasets:
  - SWE-Gym/SWE-Gym
language:
  - en
base_model: all-hands/openhands-lm-32b-v0.1
pipeline_tag: text-generation
tags:
  - agent
  - coding
  - mlx
  - mlx-my-repo

alexgusevski/openhands-lm-32b-v0.1-mlx-3Bit

The Model alexgusevski/openhands-lm-32b-v0.1-mlx-3Bit was converted to MLX format from all-hands/openhands-lm-32b-v0.1 using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/openhands-lm-32b-v0.1-mlx-3Bit")

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)