README.md

metadata

license: apache-2.0
datasets:
  - open-r1/codeforces-cots
language:
  - en
base_model: open-r1/OlympicCoder-32B
pipeline_tag: text-generation
library_name: mlx
tags:
  - mlx

abalogh/OlympicCoder-32B-4bit

This model abalogh/OlympicCoder-32B-4bit was converted to MLX format from open-r1/OlympicCoder-32B using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("abalogh/OlympicCoder-32B-4bit")

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)