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mainguyenngoc/
gemma3-4b-military-gemma3-4b_lr2e4_ep2_bs24x2_r64_a128_m7-GGUF

Name: gemma3-4b-military-gemma3-4b_lr2e4_ep2_bs24x2_r64_a128_m7-GGUF
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gemma3-4b-military-gemma3-4b_lr2e4_ep2_bs24x2_r64_a128_m7-GGUF : GGUF

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

Example usage:

For text only LLMs: ./llama.cpp/llama-cli -hf mainguyenngoc/gemma3-4b-military-gemma3-4b_lr2e4_ep2_bs24x2_r64_a128_m7-GGUF --jinja
For multimodal models: ./llama.cpp/llama-mtmd-cli -hf mainguyenngoc/gemma3-4b-military-gemma3-4b_lr2e4_ep2_bs24x2_r64_a128_m7-GGUF --jinja

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

To create an Ollama model from this vision model:

Place the Modelfile in the same directory as the finetuned bf16 merged model
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.

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