README.md

metadata

license: apache-2.0
language:
  - en
base_model: alamios/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B
datasets:
  - alamios/DeepSeek-R1-Distill-Qwen-32B-Conversations
pipeline_tag: text-generation
library_name: transformers
tags:
  - code
  - qwen
  - qwen2.5
  - qwen-coder
  - codeqwen
  - deepseek
  - mlx
  - mlx-my-repo

jmfirth/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B-mlx-8Bit

The Model jmfirth/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B-mlx-8Bit was converted to MLX format from alamios/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("jmfirth/DeepSeek-R1-DRAFT-Qwen2.5-Coder-0.5B-mlx-8Bit")

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)