32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
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---
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tags:
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- gguf
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- llama.cpp
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- unsloth
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- vision-language-model
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---
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# gemma_test : GGUF
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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- For text only LLMs: `./llama.cpp/llama-cli -hf adityaharshef3/gemma_test --jinja`
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- For multimodal models: `./llama.cpp/llama-mtmd-cli -hf adityaharshef3/gemma_test --jinja`
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## Available Model files:
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- `gemma-3-4b-it.Q4_K_M.gguf`
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- `gemma-3-4b-it.F16-mmproj.gguf`
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## ⚠️ Ollama Note for Vision Models
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**Important:** Ollama currently does not support separate mmproj files for vision models.
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To create an Ollama model from this vision model:
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1. Place the `Modelfile` in the same directory as the finetuned bf16 merged model
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3. Run: `ollama create model_name -f ./Modelfile`
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(Replace `model_name` with your desired name)
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This will create a unified bf16 model that Ollama can use.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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