metadata
base_model: RDson/CoderO1-DeepSeekR1-Coder-32B-Preview
library_name: transformers
tags:
- mergekit
- merge
- mlx
- mlx-my-repo
CAPsMANyo/CoderO1-DeepSeekR1-Coder-32B-Preview-Q4-mlx
The Model CAPsMANyo/CoderO1-DeepSeekR1-Coder-32B-Preview-Q4-mlx was converted to MLX format from RDson/CoderO1-DeepSeekR1-Coder-32B-Preview using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("CAPsMANyo/CoderO1-DeepSeekR1-Coder-32B-Preview-Q4-mlx")
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)