Add README

README.md

@@ -1,21 +1,36 @@
 ---
-base_model: unsloth/gemma-3-4b-it-unsloth-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
+- gguf
+- llama.cpp
 - unsloth
-- gemma3
-license: apache-2.0
-language:
-- en
+- vision-language-model
 ---
 
-# Uploaded finetuned  model
+# model : GGUF
 
-- **Developed by:** SiwaSathya
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-3-4b-it-unsloth-bnb-4bit
+This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
 
-This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+**Example usage**:
+- For text only LLMs:    `./llama.cpp/llama-cli -hf SiwaSathya/model --jinja`
+- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf SiwaSathya/model --jinja`
 
+## Available Model files:
+- `gemma-3-4b-it.Q5_K_M.gguf`
+- `gemma-3-4b-it.Q8_0.gguf`
+- `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
+3. 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](https://github.com/unslothai/unsloth)
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)