File size: 8,199 Bytes
85496a1 08de942 85496a1 7a44f9f 85496a1 08de942 85496a1 f12bc2f 3181299 c4b3ac8 72e5e3b 76f8e99 85496a1 79f91a6 f12bc2f 3181299 acd0fb3 a319f04 c4b3ac8 60a9b2b 4ac4490 ffe5962 72e5e3b 7af7b93 4ad77fb 85496a1 76f8e99 a5a7083 85496a1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 |
---
base_model: THUDM/glm-4-9b-chat
inference: false
language:
- zh
- en
library_name: gguf
license: other
license_link: https://huggingface.co/THUDM/glm-4-9b-chat/blob/main/LICENSE
license_name: glm-4
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- glm
- chatglm
- thudm
- quantized
- GGUF
- quantization
- imat
- imatrix
- static
- 16bit
- 8bit
- 6bit
- 5bit
- 4bit
- 3bit
- 2bit
- 1bit
---
# 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 | IQ3_M | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| [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 | IQ2_M | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ2_S | IQ2_S | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ2_XS | IQ2_XS | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ1_M | IQ1_M | - | ⏳ Processing | 🟢 IMatrix | -
| glm-4-9b-chat.IQ1_S | IQ1_S | - | ⏳ Processing | 🟢 IMatrix | -
## 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)! |