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llmware/gemma-3-4b-gguf - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

llmware/gemma-3-4b-gguf overview

gemma-3-4b-gguf is an GGUF Q4_K quantized version of Google's Gemma-3-4B with Instruct Training (IT), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. gemma-3-4b is a leading open source foundation model from Google. ### Model Description

ggufgemma3greenp4llmware-chatlicense:gemmaregion:usconversational
llmware/gemma-3-4b-gguf visual
Downloads
89
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

1 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
gemma-3-4b-it-q4_0.gguf GGUF 2.94 GB Download

Model Details Live

Model Slug
llmware/gemma-3-4b-gguf
Author
llmware
Pipeline Task
Library
Created
2025-07-05
Last Modified
2025-07-05
Gated
No
Private
No
HF SHA
e703deebe1a59f1c8e51372f2da869613afe74c5
License
gemma
Language
Unknown
Base Model
google/gemma-3-4b

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "gemma",
    "inference": false,
    "base_model": "google/gemma-3-4b",
    "base_model_relation": "quantized",
    "tags": [
      "green",
      "p4",
      "llmware-chat",
      "gguf"
    ],
    "frontmatter": {
      "license": "gemma",
      "inference": "false",
      "base_model": "google/gemma-3-4b",
      "base_model_relation": "quantized",
      "tags": [
        "green",
        "p4",
        "llmware-chat",
        "gguf"
      ]
    },
    "hero_image_url": "",
    "summary": "**gemma-3-4b-gguf** is an GGUF Q4_K quantized version of Google's Gemma-3-4B with Instruct Training (IT), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU. **gemma-3-4b** is a leading open source foundation model from Google. ### Model Description",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: gemma\ninference: false\nbase_model: google/gemma-3-4b\nbase_model_relation: quantized \ntags:\n- green\n- p4\n- llmware-chat\n- gguf\n---\n\n# gemma-3-4b-gguf\n\n**gemma-3-4b-gguf** is an GGUF Q4_K quantized version of Google's Gemma-3-4B with Instruct Training (IT), providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.    \n\n[**gemma-3-4b**](https://huggingface.co/google/gemma-3-4b) is a leading open source foundation model from Google.  \n\n\n### Model Description\n\n- **Developed by:** Google\n- **Quantized by:** llmware\n- **Model type:** gemma-3  \n- **Parameters:** 4 billion\n- **Model Parent:** google/gemma-4b-it  \n- **Language(s) (NLP):** English  \n- **License:** Apache 2.0  \n- **Uses:** General purpose chat \n- **RAG Benchmark Accuracy Score:** NA  \n- **Quantization:** int4  \n  \n\n## Model Card Contact\n\n[llmware on github](https://www.github.com/llmware-ai/llmware)  \n\n[llmware on hf](https://www.huggingface.co/llmware)  \n\n[llmware website](https://www.llmware.ai)",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "gemma3",
    "green",
    "p4",
    "llmware-chat",
    "license:gemma",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 89,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-05T21:39:29.000Z",
  "created_at": "2025-07-05T15:48:52.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "68694964311093296e96416b",
  "id": "llmware/gemma-3-4b-gguf",
  "modelId": "llmware/gemma-3-4b-gguf",
  "sha": "e703deebe1a59f1c8e51372f2da869613afe74c5",
  "createdAt": "2025-07-05T15:48:52.000Z",
  "lastModified": "2025-07-05T21:39:29.000Z",
  "author": "llmware",
  "downloads": 89,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 5
}