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metadata
base_model: THUDM/glm-4-9b-chat-1m
inference: false
language:
  - zh
  - en
library_name: gguf
license: other
license_link: https://huggingface.co/THUDM/glm-4-9b-chat-1m/blob/main/LICENSE
license_name: glm-4
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - glm
  - chatglm
  - thudm
  - quantized
  - GGUF
  - quantization
  - static
  - 16bit
  - 8bit
  - 6bit
  - 5bit
  - 4bit
  - 3bit
  - 2bit

glm-4-9b-chat-1m-GGUF

Llama.cpp static quantization of THUDM/glm-4-9b-chat-1m

Original Model: THUDM/glm-4-9b-chat-1m
Original dtype: BF16 (bfloat16)
Quantized by: https://github.com/ggerganov/llama.cpp/pull/6999
IMatrix dataset: here


Files

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
glm-4-9b-chat-1m.Q8_0.gguf Q8_0 10.08GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q6_K.gguf Q6_K 8.33GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q4_K.gguf Q4_K 6.31GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q3_K.gguf Q3_K 5.11GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q2_K.gguf Q2_K 4.02GB βœ… Available βšͺ Static πŸ“¦ No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
glm-4-9b-chat-1m.BF16.gguf BF16 18.97GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.FP16.gguf F16 18.97GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q8_0.gguf Q8_0 10.08GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q6_K.gguf Q6_K 8.33GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q5_K.gguf Q5_K 7.21GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q5_K_S.gguf Q5_K_S 6.75GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q4_K.gguf Q4_K 6.31GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q4_K_S.gguf Q4_K_S 5.80GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.IQ4_NL IQ4_NL - ⏳ Processing βšͺ Static -
glm-4-9b-chat-1m.IQ4_XS.gguf IQ4_XS 5.35GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q3_K.gguf Q3_K 5.11GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q3_K_L.gguf Q3_K_L 5.33GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.Q3_K_S.gguf Q3_K_S 4.62GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.IQ3_M.gguf IQ3_M 4.86GB βœ… Available βšͺ Static πŸ“¦ No
glm-4-9b-chat-1m.IQ3_S IQ3_S - ⏳ Processing βšͺ Static -
glm-4-9b-chat-1m.IQ3_XS IQ3_XS - ⏳ Processing βšͺ Static -
glm-4-9b-chat-1m.Q2_K.gguf Q2_K 4.02GB βœ… Available βšͺ Static πŸ“¦ 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-1m-GGUF --include "glm-4-9b-chat-1m.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-1m-GGUF --include "glm-4-9b-chat-1m.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-1m.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-1m.Q8_0)
  3. Run gguf-split --merge glm-4-9b-chat-1m.Q8_0/glm-4-9b-chat-1m.Q8_0-00001-of-XXXXX.gguf glm-4-9b-chat-1m.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!