metadata
license: apache-2.0
base_model: allenai/Olmo-3.1-32B-Think
language:
- en
datasets:
- allenai/Dolci-Think-RL
library_name: mlx
pipeline_tag: text-generation
tags:
- mlx
leonsarmiento/Olmo-3.1-32B-Think-6bit-mlx
This model leonsarmiento/Olmo-3.1-32B-Think-6bit-mlx was converted to MLX format from allenai/Olmo-3.1-32B-Think using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("leonsarmiento/Olmo-3.1-32B-Think-6bit-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)