Tongyi-Zhiwen/DocQA-RL-1.6K
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How to use WaveCut/QwenLong-L1-32B-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir QwenLong-L1-32B-mlx-4Bit WaveCut/QwenLong-L1-32B-mlx-4Bit
The Model WaveCut/QwenLong-L1-32B-mlx-4Bit was converted to MLX format from Tongyi-Zhiwen/QwenLong-L1-32B using mlx-lm version 0.22.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("WaveCut/QwenLong-L1-32B-mlx-4Bit")
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)
4-bit
Base model
deepseek-ai/DeepSeek-R1-Distill-Qwen-32B