Downloads · 30 days
13
10% of all-time downloads
GLM-4.7-Flash-autoround-3.5bpw
kaitchup/GLM-4.7-Flash-autoround-3.5bpw
GLM-4.7-Flash-autoround-3.5bpw is a machine learning model from kaitchup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
<div align="center" <img src="https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/mj6xac74jHGLqymiovObc.png" alt="The Kaitchup -- AI on a Budget" style="width: 100%; max-width: 100%; height:…
All-time downloads
125
Public
Parameters
4.8B
17.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors17.1 GB · 100%
Parameter types
How the weights are stored.
I323.6B · 79%
Base models
Model card
From the Hugging Face model README
<div align="center">
<img
src="https://cdn-uploads.huggingface.co/production/uploads/64b93e6bd6c468ac7536607e/mj6xac74jHGLqymiovObc.png"
alt="The Kaitchup -- AI on a Budget"
style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
/>
<div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">
<a href="https://kaitchup.substack.com/subscribe"><strong>Subscribe and Support</strong></a>
</div>
</div>
Warning: This model has severe quality issues. Use it only for research purpose. You can find verified quantized models of good quality here.
This is zai-org/GLM-4.7-Flash quantized with AutoRound to mixed-precision with a target at 3.5 bits per weight. The model is compatible with vLLM (tested: v0.15.0). Tested with an RTX Pro 6000 WK.
- Developed by: The Kaitchup
- Type
- glm4_moe_lite
- License
- mit
- Created
- Jan 28, 2026
- Updated
- Jan 30, 2026