README.md

metadata

tags:
  - gguf
  - llama.cpp
  - unsloth
  - vision-language-model

gemma_4_humanizer2.0 : GGUF

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

Example usage:

• For text only LLMs: llama-cli -hf voperl/gemma_4_humanizer2.0 --jinja
• For multimodal models: llama-mtmd-cli -hf voperl/gemma_4_humanizer2.0 --jinja

Available Model files:

• gemma-4-E4B-it.Q8_0.gguf
• gemma-4-E4B-it.BF16-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. This was trained 2x faster with Unsloth