Downloads · 30 days
24
9% of all-time downloads
DeepResearcher-7b-mlx-4Bit
introvoyz041/DeepResearcher-7b-mlx-4Bit
DeepResearcher-7b-mlx-4Bit is a machine learning model from introvoyz041. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
The Model introvoyz041/DeepResearcher-7b-mlx-4Bit was converted to MLX format from GAIR/DeepResearcher-7b using mlx-lm version 0.28.3.
All-time downloads
256
Public
Parameters
7.6B
4.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors4.3 GB · 100%
Parameter types
How the weights are stored.
U327.6B · 100%
Base models
Model card
From the Hugging Face model README
introvoyz041/DeepResearcher-7b-mlx-4Bit
The Model introvoyz041/DeepResearcher-7b-mlx-4Bit was converted to MLX format from GAIR/DeepResearcher-7b using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/DeepResearcher-7b-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)
- Library
- mlx
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025