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gemma4-e2b-scn-ollama-q4km

GGUF
gemma4
ollama
vision
scn
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xet
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gemma4-e2b-scn-ollama-q4km

Direct Ollama distribution of the SCN Gemma4 artifact.

What this is

  • monolithic GGUF for Ollama local import
  • image + text capable
  • audio removed by design
  • derived from the official Ollama Gemma4 monolithic blob, then audio tensors / metadata were pruned
  • packaged so that hf download -> ollama create -f Modelfile is enough
  • Related Hugging Face checkpoint repo: st4system/gemma4-e2b-scn

Why this repo exists

The older split GGUF + mmproj path is appropriate for llama.cpp, but not for direct Ollama Gemma4 vision use. This repo contains the single-GGUF artifact required by Ollama users.

Measured effect

  • source Ollama GGUF blob size before pruning: 6.7G
  • GGUF file size: 6.1G
  • removed audio metadata fields: 6
  • removed audio tensors: 752
  • kept tensors after pruning: 1,260
  • general.parameter_count after pruning: 4,815,994,851
  • size delta after pruning: 0.6G saved (8.58%)
  • quantization: q4_k_m

Validated

  • ollama show reports vision
  • Ollama text runtime passed
  • Ollama image runtime passed on the sample image in this project
  • audio is unsupported by design
  • PNG input was validated for image runtime

Install for Ollama users 

HF_HUB_DISABLE_XET=1 hf download st4system/gemma4-e2b-scn-ollama-q4km --repo-type model --local-dir ~/models/gemma4-e2b-scn-ollama-q4km
cd ~/models/gemma4-e2b-scn-ollama-q4km
ollama create gemma4-scn -f Modelfile
ollama run gemma4-scn "こんにちは"

Vision smoke:

ollama show gemma4-scn

If Capabilities includes vision, the model is packaged correctly.

For actual image inference, prefer PNG or JPEG inputs in Ollama clients.

Files

  • gemma4-e2b-scn-q4_k_m.gguf
  • Modelfile
  • ollama_manifest.json
  • SHA256SUMS
  • NOTICE.txt

Compliance notes

  • This is a derivative of google/gemma-4-e2b-it
  • This is not an official Google release
  • OpenAI / ChatGPT generated training data was not used in this project
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GGUF
Model size
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Architecture
gemma4
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