Downloads · 30 days
697
11% of all-time downloads
AaryanK/GLM-4.7-Flash-GGUF
GLM-4.7-Flash-GGUF is a text generation model from AaryanK. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as mit.
<div align="center" <img src="https://raw.githubusercontent.com/zai-org/GLM-4.5/refs/heads/main/resources/logo.svg" width="15%"/ </div
Downloads · 30 days
697
11% of all-time downloads
All-time downloads
6.5K
Public
Repo size
267 GB
Likes
7
Public
Click a slice to open those files.
.gguf267 GB · 100%
From the Hugging Face model README
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.
| 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 |
To see the available files, please verify the Files and versions tab.
Recommended Parameters:
1.0 (Standard) or 0.7 (For stricter adherence)0.95-c (Adjust based on available RAM)../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
./llama-server -m GLM-4.7-Flash.Q4_K_M.gguf \
--port 8080 \
--host 0.0.0.0 \
-c 16384 \
-ngl 99