--- title: glm-4-9b-chat-GGUF canonical_url: "https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-GGUF" md_url: "https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-GGUF.md" repository: LLM-Research/glm-4-9b-chat-GGUF last_updated: 2025-02-26 license: other pipeline_tag: text-generation tasks: - text-generation library_name: - gguf - pytorch frameworks: - pytorch language: - zh - en downloads: 11549 stars: 18 tags: - glm - chatglm - thudm - quantized - GGUF - quantization - static - 16bit - 8bit - 6bit - 5bit - 4bit - 3bit - 2bit - gguf --- # glm-4-9b-chat-GGUF > glm-4-9b-chat-GGUF - LLM-Research 在 ModelScope 开源的模型。glm-4-9b-chat-GGUF Llama.cpp static quantization of THUDM/glm-4-9b-chat LLM-Research/glm-4-9b-chat-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-GGUF - **License**: other - **Tasks**: text-generation - **Tags**: glm, chatglm, thudm, quantized, GGUF, quantization, static, 16bit, 8bit, 6bit, 5bit, 4bit, 3bit, 2bit, gguf - **Downloads**: 11549 - **Stars**: 18 - **Last updated**: 2025-02-26 Source: https://www.modelscope.cn/models/LLM-Research/glm-4-9b-chat-GGUF --- # glm-4-9b-chat-GGUF _Llama.cpp static 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) - [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 ### 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-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-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-GGUF/blob/main/glm-4-9b-chat.Q4_K.gguf) | Q4_K | 6.25GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q3_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q3_K.gguf) | Q3_K | 5.06GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | ⚪ Static | 📦 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-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-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-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-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-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-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-GGUF/blob/main/glm-4-9b-chat.Q4_K.gguf) | Q4_K | 6.25GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q4_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q4_K_S.gguf) | Q4_K_S | 5.75GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.IQ4_NL.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.IQ4_NL.gguf) | IQ4_NL | 5.51GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.IQ4_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.IQ4_XS.gguf) | IQ4_XS | 5.30GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q3_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q3_K.gguf) | Q3_K | 5.06GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q3_K_L.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q3_K_L.gguf) | Q3_K_L | 5.28GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q3_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q3_K_S.gguf) | Q3_K_S | 4.59GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.IQ3_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.IQ3_M.gguf) | IQ3_M | 4.81GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.IQ3_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.IQ3_S.gguf) | IQ3_S | 4.59GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.IQ3_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.IQ3_XS.gguf) | IQ3_XS | 4.43GB | ✅ Available | ⚪ Static | 📦 No | [glm-4-9b-chat.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-GGUF/blob/main/glm-4-9b-chat.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | ⚪ Static | 📦 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-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-GGUF --include "glm-4-9b-chat.Q8_0/*" --local-dir ./ # see FAQ for merging GGUF's ``` --- ## Inference ### Simple chat template ``` [gMASK]<|user|> {user_prompt}<|assistant|> {assistant_response}<|user|> {next_user_prompt} ``` ### Chat template with system prompt ``` [gMASK]<|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)!