Downloads · 30 days
32
16% of all-time downloads
moot20/Qwen2.5-7B-Instruct-1M-MLX-4bit
Qwen2.5-7B-Instruct-1M-MLX-4bit is a text generation model from moot20. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
The Model moot20/Qwen2.5-7B-Instruct-1M-MLX-4bit was converted to MLX format from Qwen/Qwen2.5-7B-Instruct-1M using mlx-lm version 0.21.1.
Downloads · 30 days
32
16% of all-time downloads
All-time downloads
203
Public
Parameters
7.6B
4.3 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors4.3 GB · 100%
How the weights are stored.
U327.6B · 100%
From the Hugging Face model README
The Model moot20/Qwen2.5-7B-Instruct-1M-MLX-4bit was converted to MLX format from Qwen/Qwen2.5-7B-Instruct-1M using mlx-lm version 0.21.1.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("moot20/Qwen2.5-7B-Instruct-1M-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
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)