metadata
license: other
license_name: apache-2.0
language:
- en
tags:
- multimodal
- mlx
library_name: mlx
pipeline_tag: text-generation
base_model: Qwen/Qwen3-Omni-30B-A3B-Instruct
abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx
This model abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx was converted to MLX format from Qwen/Qwen3-Omni-30B-A3B-Instruct using mlx-lm version 0.28.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("abnormalmapstudio/Qwen3-Omni-30B-A3B-Instruct-mxfp4-mlx")
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)