AaryanK / GLM-4.7-Flash-GGUF

huggingface.co
Total runs: 623
24-hour runs: 0
7-day runs: -33
30-day runs: -2
Model's Last Updated: January 20 2026
text-generation

Introduction of GLM-4.7-Flash-GGUF

Model Details of GLM-4.7-Flash-GGUF

GLM-4.7-Flash-GGUF

Description

This repository contains GGUF format model files for Zhipu AI's GLM-4.7-Flash .

GLM-4.7-Flash is a highly efficient 30B-A3B Mixture-of-Experts (MoE) model. It is designed to be the strongest model in the 30B parameter class, offering a powerful option for lightweight deployment that perfectly balances performance and efficiency.

Evaluation Results
Benchmark GLM-4.7-Flash Qwen3-30B-A3B-Thinking-2507 GPT-OSS-20B
AIME 25 91.6 85.0 91.7
GPQA 75.2 73.4 71.5
LCB v6 64.0 66.0 61.0
HLE 14.4 9.8 10.9
SWE-bench Verified 59.2 22.0 34.0
τ²-Bench 79.5 49.0 47.7
BrowseComp 42.8 2.29 28.3
Files & Quantization

To see the available files, please verify the Files and versions tab.

How to Run (llama.cpp)

Recommended Parameters:

  • Temperature: 1.0 (Standard) or 0.7 (For stricter adherence)
  • Top-P: 0.95
  • Context: -c (Adjust based on available RAM).
CLI Example
./llama-cli -m GLM-4.7-Flash.Q4_K_M.gguf \
  -c 8192 \
  --temp 1.0 \
  --top-p 0.95 \
  -p "User: Write a Python script to calculate Fibonacci numbers.\nAssistant:" \
  -cnv
Server Example
./llama-server -m GLM-4.7-Flash.Q4_K_M.gguf \
  --port 8080 \
  --host 0.0.0.0 \
  -c 16384 \
  -ngl 99

Runs of AaryanK GLM-4.7-Flash-GGUF on huggingface.co

623
Total runs
0
24-hour runs
-4
3-day runs
-33
7-day runs
-2
30-day runs

More Information About GLM-4.7-Flash-GGUF huggingface.co Model

More GLM-4.7-Flash-GGUF license Visit here:

https://choosealicense.com/licenses/mit

GLM-4.7-Flash-GGUF huggingface.co

GLM-4.7-Flash-GGUF huggingface.co is an AI model on huggingface.co that provides GLM-4.7-Flash-GGUF's model effect (), which can be used instantly with this AaryanK GLM-4.7-Flash-GGUF model. huggingface.co supports a free trial of the GLM-4.7-Flash-GGUF model, and also provides paid use of the GLM-4.7-Flash-GGUF. Support call GLM-4.7-Flash-GGUF model through api, including Node.js, Python, http.

GLM-4.7-Flash-GGUF huggingface.co Url

https://huggingface.co/AaryanK/GLM-4.7-Flash-GGUF

AaryanK GLM-4.7-Flash-GGUF online free

GLM-4.7-Flash-GGUF huggingface.co is an online trial and call api platform, which integrates GLM-4.7-Flash-GGUF's modeling effects, including api services, and provides a free online trial of GLM-4.7-Flash-GGUF, you can try GLM-4.7-Flash-GGUF online for free by clicking the link below.

AaryanK GLM-4.7-Flash-GGUF online free url in huggingface.co:

https://huggingface.co/AaryanK/GLM-4.7-Flash-GGUF

GLM-4.7-Flash-GGUF install

GLM-4.7-Flash-GGUF is an open source model from GitHub that offers a free installation service, and any user can find GLM-4.7-Flash-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of GLM-4.7-Flash-GGUF install, users can directly use GLM-4.7-Flash-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

GLM-4.7-Flash-GGUF install url in huggingface.co:

https://huggingface.co/AaryanK/GLM-4.7-Flash-GGUF

Url of GLM-4.7-Flash-GGUF

GLM-4.7-Flash-GGUF huggingface.co Url

Provider of GLM-4.7-Flash-GGUF huggingface.co

AaryanK
ORGANIZATIONS

Other API from AaryanK

huggingface.co

Total runs: 441
Run Growth: 113
Growth Rate: 25.28%
Updated:December 23 2025
huggingface.co

Total runs: 80
Run Growth: -48
Growth Rate: -60.00%
Updated:March 23 2026
huggingface.co

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:February 15 2025