Downloads · 30 days
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WaveCut/QClaw-4B-mlx_4bit_GPTQ
QClaw-4B-mlx_4bit_GPTQ 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
67
11% of all-time downloads
All-time downloads
619
Public
Parameters
4.2B
2.5 GB on disk
Likes
2
Public
Click a slice to open those files.
.safetensors2.5 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_GPTQ")
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)