metadata
license: other
tasks:
- code-generation
language:
- en
- zh
pipeline_tag: text-generation
library_name: transformers
tags:
- code
- mlx
- mlx-my-repo
base_model: codefuse-ai/CodeFuse-DeepSeek-33B
Wwayu/CodeFuse-DeepSeek-33B-mlx-6Bit
The Model Wwayu/CodeFuse-DeepSeek-33B-mlx-6Bit was converted to MLX format from codefuse-ai/CodeFuse-DeepSeek-33B using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Wwayu/CodeFuse-DeepSeek-33B-mlx-6Bit")
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)