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ogies99/Gemma-3-Uncensored_v2-gguf

ogies99 Gemma GGUF multimodal
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Response includes
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  • files 6
  • author_summary 6 models
  • readme_text full
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created 2026-10-08

Variants by this author 2 formats · 0 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Quantizations
Q4_K
Tags
gguf gemma3 llama.cpp unsloth vision-language-model endpoints_compatible region:us conversational

Related

Total size
2.32 GB
Files
6
Quantizations
3
Registered
2026-10-08 06:58
Last updated on HF
2026-10-08 06:22

Files by quantization

Q4_K 1 file 2.32 GB
gemma-3-4b-it.Q4_K_M.gguf 2.32 GB d31471c4 download
mmproj 1 file 812 MB
gemma-3-4b-it.F16-mmproj.gguf 812 MB 55831182 download
Auxiliary files 4 files 6.63 KB
config.json 3.28 KB 4f378071 download
.gitattributes 1.61 KB 727d84ae download
README.md 1.21 KB 2f16c0c5 download
Modelfile 549 B 39282919 download

README current version from Hugging Face


tags:

  • gguf
  • llama.cpp
  • unsloth
  • vision-language-model

Gemma-3-Uncensored_v2-gguf : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf ogies99/Gemma-3-Uncensored_v2-gguf --jinja
  • For multimodal models: llama-mtmd-cli -hf ogies99/Gemma-3-Uncensored_v2-gguf --jinja

Available Model files:

  • gemma-3-4b-it.Q4_K_M.gguf
  • gemma-3-4b-it.F16-mmproj.gguf

⚠️ Ollama Note for Vision Models

Important: Ollama currently does not support separate mmproj files for vision models.

To create an Ollama model from this vision model:

  1. Place the Modelfile in the same directory as the finetuned bf16 merged model
  2. Run: ollama create model_name -f ./Modelfile
    (Replace model_name with your desired name)

This will create a unified bf16 model that Ollama can use.

Note

The model's BOS token behavior was adjusted for GGUF compatibility.
This was trained 2x faster with Unsloth

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