metadata
license: mit
language:
- en
base_model: fm-universe/qwen2.5-coder-7b-instruct-fma
tags:
- mlx
danielcfho/qwen2.5-coder-7b-instruct-fma-bf16
The Model danielcfho/qwen2.5-coder-7b-instruct-fma-bf16 was converted to MLX format from fm-universe/qwen2.5-coder-7b-instruct-fma using mlx-lm version 0.21.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("danielcfho/qwen2.5-coder-7b-instruct-fma-bf16")
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)