metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- reasoning
- olympiad
- mathematics
- science
- reinforcement-learning
- test-time-scaling
- long-context
- mlx
base_model: Simplified-Reasoning/SU-01
mlx-community/SU-01-4bit
This model mlx-community/SU-01-4bit was converted to MLX format from Simplified-Reasoning/SU-01 using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SU-01-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)