README.md

metadata

base_model: sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview
library_name: transformers
tags:
  - mergekit
  - merge
  - mlx

mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6

The Model mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6 was converted to MLX format from sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/FuseO1-DeepSeekR1-Qwen2.5-Coder-14B-Preview-mixed_3_6")

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)