bombman/Gemma-4-E2B-NoAudio-GGUF

🤗 Hugging Face 来源text-generationapache-2.08.4 GBGGUF✓ 2 个校验和今天更新
已有模型文件?提交模型种子

如果你有完整的模型文件并有权分享,请把示例文件夹路径替换为你的文件路径,再运行这条命令。它会校验文件、制作种子,并将磁力链接和校验和提交给 Pirate Face。请让种子客户端持续做种,方便其他人从节点下载。Pirate Face 不接收模型文件。你可以从账户页面获取社区密钥。也可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo bombman/Gemma-4-E2B-NoAudio-GGUF ./model-folder
需要做种者 →

Gemma-4-E2B-NoAudio-GGUF

This repository provides GGUF weights for the text-only version of Gemma-4-E2B-it. The audio components have been removed for maximum efficiency on home hardware.

Key Features

Imatrix Optimized: All files are quantized using a custom Importance Matrix (imatrix) generated from 1,000+ chunks of Thai text to ensure superior reasoning and language quality.

Home Hardware Ready: Highly efficient and lightweight, perfect for running locally on consumer GPUs and CPUs.

Available Files

  • Q8_0 High fidelity for maximum accuracy.
  • Q4_K_M Best balance of speed and intelligence.

Usage

This model is compatible with most GGUF runners. For the best experience at home, we recommend:

  • LM Studio
  • Ollama
  • llama.cpp / llama-server