gemma3-4b-interview-eval-quantized : GGUF

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

Example usage:

• For text only LLMs: ./llama.cpp/llama-cli -hf Parth673/gemma3-4b-interview-eval-quantized --jinja
• For multimodal models: ./llama.cpp/llama-mtmd-cli -hf Parth673/gemma3-4b-interview-eval-quantized --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