metadata
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct/blob/main/LICENSE
language:
- en
base_model: codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned
pipeline_tag: text-generation
library_name: mlx
tags:
- code
- codeqwen
- chat
- qwen
- qwen-coder
- mlx
codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned-gguf
This model codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned-gguf was converted to MLX format from codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned using mlx-lm version 0.25.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("codedebiasi/Qwen2.5-Coder-3B-Instruct-finetuned-gguf")
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)