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tinku1102/gemma-magazine-gguf overview

license: apache 2.0 base model: google/gemma 2 9b it tags: gemma gguf magazine rag news auroville pipeline tag: text generation Gemma Magazine AI GGUF 4 Bit Th…

ggufgemmamagazineragnewsaurovilletext-generationbase_model:google/gemma-2-9b-itbase_model:quantized:google/gemma-2-9b-itlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~5.07 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
gemma-magazine.ggufGGUFGGUF5.07 GBDownload

Model Details

Model IDtinku1102/gemma-magazine-gguf
Authortinku1102
Pipelinetext-generation
Licenseapache-2.0
Base modelgoogle/gemma-2-9b-it
Last modified2026-08-08T09:07:47.000Z

Model README

---

license: apache-2.0

base_model: google/gemma-2-9b-it

tags:

  • gemma
  • gguf
  • magazine
  • rag
  • news
  • auroville

pipeline_tag: text-generation

---

Gemma Magazine AI (GGUF 4-Bit)

This is a fine-tuned / grounded GGUF quantized model based on Google Gemma 2 (9B), specialized for weekly magazine parsing, news analysis, and grounded community intelligence.

Model Details

  • Format: GGUF (4-bit Q4 Quantized)
  • Base Model: google/gemma-2-9b-it
  • File: gemma-magazine.gguf (5.07 GB)
  • Context Window: 2048 - 8192 tokens

How to Use in Mobile Apps (PocketPal AI / LM Studio)

  1. In PocketPal AI or LM Studio, search for:

tinku1102/gemma-magazine-gguf

  1. Download gemma-magazine.gguf to run 100% offline on your device!

How to Run with Ollama

ollama run hf.co/tinku1102/gemma-magazine-gguf

Run tinku1102/gemma-magazine-gguf with guIDE

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