README.md

metadata

library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker-7B
tags:
  - llama-factory
  - full
  - generated_from_trainer
  - mlx
datasets:
  - open-thoughts/open-thoughts-114k
model-index:
  - name: OpenThinker-7B
    results: []

alexgusevski/OpenThinker-7B-q8-mlx

The Model alexgusevski/OpenThinker-7B-q8-mlx was converted to MLX format from open-thoughts/OpenThinker-7B using mlx-lm version 0.21.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/OpenThinker-7B-q8-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)