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mlx-community/LongCat-Flash-Thinking-2601-4bit
LongCat-Flash-Thinking-2601-4bit is a text generation model from mlx-community. Use it when you need the model to write or continue text. It is set up for mlx. The card lists the license as mit.
This model mlx-community/LongCat-Flash-Thinking-2601-4bit was converted to MLX format from meituan-longcat/LongCat-Flash-Thinking-2601 using mlx-lm version 0.30.2.
Downloads · 30 days
43
6% of all-time downloads
All-time downloads
707
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315 GB on disk
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Public
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.safetensors315 GB · 100%
How the weights are stored.
U32561B · 100%
From the Hugging Face model README
This model mlx-community/LongCat-Flash-Thinking-2601-4bit was converted to MLX format from meituan-longcat/LongCat-Flash-Thinking-2601 using mlx-lm version 0.30.2.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/LongCat-Flash-Thinking-2601-4bit")
prompt = "hello"
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)