metadata
library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker2-32B
tags:
- llama-factory
- full
- generated_from_trainer
- mlx
- mlx-my-repo
datasets:
- open-thoughts/OpenThoughts2-1M
model-index:
- name: OpenThinker2-32B
results: []
alexgusevski/OpenThinker2-32B-mlx-6Bit
The Model alexgusevski/OpenThinker2-32B-mlx-6Bit was converted to MLX format from open-thoughts/OpenThinker2-32B using mlx-lm version 0.22.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/OpenThinker2-32B-mlx-6Bit")
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)