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---
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base_model: THUDM/glm-4-9b-chat
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inference: false
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language:
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- zh
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- en
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library_name: gguf
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license: other
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license_link: https://huggingface.co/THUDM/glm-4-9b-chat/blob/main/LICENSE
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license_name: glm-4
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pipeline_tag: text-generation
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quantized_by: legraphista
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tags:
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- glm
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- chatglm
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- thudm
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- quantized
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- GGUF
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- quantization
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- static
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- 16bit
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- 8bit
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- 6bit
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- 5bit
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- 4bit
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- 3bit
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- 2bit
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---
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# glm-4-9b-chat-GGUF
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_Llama.cpp static quantization of THUDM/glm-4-9b-chat_
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Original Model: [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat)
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Original dtype: `BF16` (`bfloat16`)
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Quantized by: [https://github.com/ggerganov/llama.cpp/pull/6999](https://github.com/ggerganov/llama.cpp/pull/6999)
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IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)
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- [Files](#files)
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- [Common Quants](#common-quants)
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- [All Quants](#all-quants)
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
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- [Inference](#inference)
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- [Simple chat template](#simple-chat-template)
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- [Chat template with system prompt](#chat-template-with-system-prompt)
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- [Llama.cpp](#llama-cpp)
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- [FAQ](#faq)
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
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---
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## Files
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### Common Quants
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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| -------- | ---------- | --------- | ------ | ------------ | -------- |
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| glm-4-9b-chat.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q4_K | Q4_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q3_K | Q3_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q2_K | Q2_K | - | ⏳ Processing | ⚪ Static | -
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### All Quants
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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| -------- | ---------- | --------- | ------ | ------------ | -------- |
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| glm-4-9b-chat.BF16 | BF16 | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.FP16 | F16 | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q8_0 | Q8_0 | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q6_K | Q6_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q5_K | Q5_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q5_K_S | Q5_K_S | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q4_K | Q4_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q4_K_S | Q4_K_S | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.IQ4_NL | IQ4_NL | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.IQ4_XS | IQ4_XS | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q3_K | Q3_K | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q3_K_L | Q3_K_L | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q3_K_S | Q3_K_S | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.IQ3_M | IQ3_M | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.IQ3_S | IQ3_S | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.IQ3_XS | IQ3_XS | - | ⏳ Processing | ⚪ Static | -
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| glm-4-9b-chat.Q2_K | Q2_K | - | ⏳ Processing | ⚪ Static | -
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## Downloading using huggingface-cli
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If you do not have hugginface-cli installed:
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```
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pip install -U "huggingface_hub[cli]"
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```
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Download the specific file you want:
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```
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huggingface-cli download legraphista/glm-4-9b-chat-GGUF --include "glm-4-9b-chat.Q8_0.gguf" --local-dir ./
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```
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If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
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```
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huggingface-cli download legraphista/glm-4-9b-chat-GGUF --include "glm-4-9b-chat.Q8_0/*" --local-dir ./
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# see FAQ for merging GGUF's
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```
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---
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## Inference
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### Simple chat template
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```
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[gMASK]<sop><|user|>
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{user_prompt}<|assistant|>
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{assistant_response}<|user|>
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{next_user_prompt}
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```
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### Chat template with system prompt
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```
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[gMASK]<sop><|system|>
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{system_prompt}<|user|>
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{user_prompt}<|assistant|>
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{assistant_response}<|user|>
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{next_user_prompt}
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```
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### Llama.cpp
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```
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llama.cpp/main -m glm-4-9b-chat.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
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```
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---
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## FAQ
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### Why is the IMatrix not applied everywhere?
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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).
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### How do I merge a split GGUF?
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1. Make sure you have `gguf-split` available
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- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
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- Download the appropriate zip for your system from the latest release
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- Unzip the archive and you should be able to find `gguf-split`
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2. Locate your GGUF chunks folder (ex: `glm-4-9b-chat.Q8_0`)
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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`
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- Make sure to point `gguf-split` to the first chunk of the split.
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---
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Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!
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