---

base_model: THUDM/glm-4-9b-chat
pipeline_tag: text-generation
license: other
license_name: glm-4
license_link: https://huggingface.co/THUDM/glm-4-9b-chat/blob/main/LICENSE
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
- chat
- abliterated
library_name: transformers

---

![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)

# QuantFactory/glm-4-9b-chat-abliterated-GGUF
This is quantized version of [byroneverson/glm-4-9b-chat-abliterated](https://huggingface.co/byroneverson/glm-4-9b-chat-abliterated) created using llama.cpp

# Original Model Card




# GLM 4 9B Chat - Abliterated
Check out the <a href="https://huggingface.co/byroneverson/glm-4-9b-chat-abliterated/blob/main/abliterate-glm-4-9b-chat.ipynb">jupyter notebook</a> for details of how this model was abliterated from glm-4-9b-chat.

The python package "tiktoken" is required to quantize the model into gguf format. So I had to create <a href="https://huggingface.co/spaces/byroneverson/gguf-my-repo-plus-tiktoken">a fork of GGUF My Repo (+tiktoken)</a>.

![Logo](https://huggingface.co/byroneverson/glm-4-9b-chat-abliterated/resolve/main/logo.png "Logo")