metadata
language: en
license: apache-2.0
library_name: mlx
pipeline_tag: text-generation
base_model: Jackrong/Qwopus3.5-9B-Coder
tags:
- mlx
- qwen3_5
- code
- agent
- tool-use
- text-generation
Qwopus3.5-9B-Coder-MLX
MLX conversion of Jackrong/Qwopus3.5-9B-Coder for Apple Silicon.
Original upstream weights, converted to MLX format only. No additional fine-tuning or architecture changes.
Use with mlx-lm
pip install -U mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("snsnc/Qwopus3.5-9B-Coder-MLX")
prompt = "Write a short Python function that returns the factorial of a number."
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages,
add_generation_prompt=True,
return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
print(response)
Use with mlx-serve
pip install -U mlx-serve
mlx-serve \
--model hf://snsnc/Qwopus3.5-9B-Coder-MLX \
--serve \
--host 0.0.0.0 \
--port 11234
Upstream
- Original model:
Jackrong/Qwopus3.5-9B-Coder