---

tags:

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

---

gemma4_sft-ballerina_klge_easysft_gguf : GGUF

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

Example usage:

• For text only LLMs: llama-cli -hf didula-wso2/gemma4_sft-ballerina_klge_easysft_gguf --jinja
• For multimodal models: llama-mtmd-cli -hf didula-wso2/gemma4_sft-ballerina_klge_easysft_gguf --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

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>