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

Text Generation
GGUF
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glm
chatglm
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GGUF
quantization
imat
imatrix
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metadata
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
Original dtype: BF16 (bfloat16)
Quantized by: https://github.com/ggerganov/llama.cpp/pull/6999
IMatrix dataset: here

Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
glm-4-9b-chat.Q8_0.gguf Q8_0 9.99GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q6_K.gguf Q6_K 8.26GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q4_K.gguf Q4_K 6.25GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q3_K.gguf Q3_K 5.06GB ✅ Available 🟢 IMatrix 📦 No
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 BF16 18.81GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.FP16.gguf F16 18.81GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q8_0.gguf Q8_0 9.99GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q6_K.gguf Q6_K 8.26GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q5_K.gguf Q5_K 7.14GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q5_K_S.gguf Q5_K_S 6.69GB ✅ Available ⚪ Static 📦 No
glm-4-9b-chat.Q4_K.gguf Q4_K 6.25GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q4_K_S.gguf Q4_K_S 5.75GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ4_NL.gguf IQ4_NL 5.46GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ4_XS.gguf IQ4_XS 5.25GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q3_K.gguf Q3_K 5.06GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q3_K_L.gguf Q3_K_L 5.28GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q3_K_S.gguf Q3_K_S 4.59GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ3_M.gguf IQ3_M 4.81GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ3_S IQ3_S - ⏳ Processing 🟢 IMatrix -
glm-4-9b-chat.IQ3_XS.gguf IQ3_XS 4.43GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ3_XXS.gguf IQ3_XXS 4.26GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q2_K.gguf Q2_K 3.99GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.Q2_K_S.gguf Q2_K_S 3.96GB ✅ Available 🟢 IMatrix 📦 No
glm-4-9b-chat.IQ2_M.gguf IQ2_M 3.93GB ✅ Available 🟢 IMatrix 📦 No
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, 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
  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!