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11% of all-time downloads
WaveCut/QClaw-4B-mlx_4bit
QClaw-4B-mlx_4bit is a text generation model from WaveCut. Use it when you need the model to write or continue text. It is set up for mlx.
Downloads · 30 days
17
11% of all-time downloads
All-time downloads
149
Public
Parameters
4.2B
2.4 GB on disk
Likes
1
Public
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.safetensors2.4 GB · 99%
How the weights are stored.
U324.2B · 100%
From the Hugging Face model README
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("WaveCut/QClaw-4B-mlx_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)