---
title: glm-4-9b-chat-IMat-GGUF
canonical_url: "https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-IMat-GGUF"
md_url: "https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-IMat-GGUF.md"
repository: LLM-Research/glm-4-9b-chat-IMat-GGUF
last_updated: 2024-07-26
license: other
pipeline_tag: text-generation
tasks:
  - text-generation
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
language:
  - zh
  - en
downloads: 2901
stars: 0
tags:
  - glm
  - chatglm
  - thudm
  - quantized
  - GGUF
  - quantization
  - imat
  - imatrix
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit
  - 1bit
  - gguf
---

# glm-4-9b-chat-IMat-GGUF

> glm-4-9b-chat-IMat-GGUF - LLM-Research 在 ModelScope 开源的模型。glm-4-9b-chat-IMat-GGUF Llama.cpp imatrix quantization of THUDM/glm-4-9b-chat

LLM-Research/glm-4-9b-chat-IMat-GGUF 是 ModelScope 魔搭社区上的text-generation模型，采用 other 许可。

- **Repository**: LLM-Research/glm-4-9b-chat-IMat-GGUF
- **License**: other
- **Tasks**: text-generation
- **Tags**: glm, chatglm, thudm, quantized, GGUF, quantization, imat, imatrix, static, 16bit, 8bit, 6bit, 5bit, 4bit, 3bit, 2bit, 1bit, gguf
- **Downloads**: 2901
- **Stars**: 0
- **Last updated**: 2024-07-26

Source: https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-IMat-GGUF

---

# glm-4-9b-chat-IMat-GGUF
_Llama.cpp imatrix quantization of THUDM/glm-4-9b-chat_

Original Model: [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat)    
Original dtype: `BF16` (`bfloat16`)  
Quantized by: [https://github.com/ggerganov/llama.cpp/pull/6999](https://github.com/ggerganov/llama.cpp/pull/6999)  
IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)  

- [Files](#files)
    - [IMatrix](#imatrix)
    - [Common Quants](#common-quants)
    - [All Quants](#all-quants)
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
- [Inference](#inference)
    - [Simple chat template](#simple-chat-template)
    - [Chat template with system prompt](#chat-template-with-system-prompt)
    - [Llama.cpp](#llama-cpp)
- [FAQ](#faq)
    - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
    - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)

---

## Files

### IMatrix
Status: ✅ Available  
Link: [here](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/imatrix.dat)

### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [glm-4-9b-chat.Q8_0.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q8_0.gguf) | Q8_0 | 9.99GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q6_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q6_K.gguf) | Q6_K | 8.26GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q4_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q4_K.gguf) | Q4_K | 6.25GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q3_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q3_K.gguf) | Q3_K | 5.06GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | 🟢 IMatrix | 📦 No


### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [glm-4-9b-chat.BF16.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.BF16.gguf) | BF16 | 18.81GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.FP16.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.FP16.gguf) | F16 | 18.81GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q8_0.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q8_0.gguf) | Q8_0 | 9.99GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q6_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q6_K.gguf) | Q6_K | 8.26GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q5_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q5_K.gguf) | Q5_K | 7.14GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q5_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q5_K_S.gguf) | Q5_K_S | 6.69GB | ✅ Available | ⚪ Static | 📦 No
| [glm-4-9b-chat.Q4_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q4_K.gguf) | Q4_K | 6.25GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q4_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q4_K_S.gguf) | Q4_K_S | 5.75GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ4_NL.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ4_NL.gguf) | IQ4_NL | 5.46GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ4_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ4_XS.gguf) | IQ4_XS | 5.25GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q3_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q3_K.gguf) | Q3_K | 5.06GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q3_K_L.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q3_K_L.gguf) | Q3_K_L | 5.28GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q3_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q3_K_S.gguf) | Q3_K_S | 4.59GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ3_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ3_M.gguf) | IQ3_M | 4.81GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ3_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ3_S.gguf) | IQ3_S | 4.59GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ3_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ3_XS.gguf) | IQ3_XS | 4.43GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ3_XXS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ3_XXS.gguf) | IQ3_XXS | 4.26GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.Q2_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.Q2_K_S.gguf) | Q2_K_S | 3.96GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ2_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ2_M.gguf) | IQ2_M | 3.93GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ2_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ2_S.gguf) | IQ2_S | 3.77GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ2_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ2_XS.gguf) | IQ2_XS | 3.61GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ2_XXS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ2_XXS.gguf) | IQ2_XXS | 3.43GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ1_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ1_M.gguf) | IQ1_M | 3.22GB | ✅ Available | 🟢 IMatrix | 📦 No
| [glm-4-9b-chat.IQ1_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-IMat-GGUF/blob/main/glm-4-9b-chat.IQ1_S.gguf) | IQ1_S | 3.10GB | ✅ Available | 🟢 IMatrix | 📦 No


## Downloading using huggingface-cli
If you do not have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Download the specific file you want:
```
huggingface-cli download legraphista/glm-4-9b-chat-IMat-GGUF --include "glm-4-9b-chat.Q8_0.gguf" --local-dir ./
```
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download legraphista/glm-4-9b-chat-IMat-GGUF --include "glm-4-9b-chat.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
```

---

## Inference

### Simple chat template
```
[gMASK]<sop><|user|>
{user_prompt}<|assistant|>
{assistant_response}<|user|>
{next_user_prompt}
```

### Chat template with system prompt
```
[gMASK]<sop><|system|>
{system_prompt}<|user|>
{user_prompt}<|assistant|>
{assistant_response}<|user|>
{next_user_prompt}
```

### Llama.cpp
```
llama.cpp/main -m glm-4-9b-chat.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
```

---

## FAQ

### Why is the IMatrix not applied everywhere?
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results). 

### How do I merge a split GGUF?
1. Make sure you have `gguf-split` available
    - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
    - Download the appropriate zip for your system from the latest release
    - Unzip the archive and you should be able to find `gguf-split`
2. Locate your GGUF chunks folder (ex: `glm-4-9b-chat.Q8_0`)
3. Run `gguf-split --merge glm-4-9b-chat.Q8_0/glm-4-9b-chat.Q8_0-00001-of-XXXXX.gguf glm-4-9b-chat.Q8_0.gguf`
    - Make sure to point `gguf-split` to the first chunk of the split.

---

Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!