Text Generation
GGUF
Portuguese
llama.cpp
gemma3_text
gemma-3
fine-tuned
finetune
q4-k-m
unsloth
grounded-behavior
conversational
Instructions to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
Use Docker
docker model run hf.co/empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
- Ollama
How to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with Ollama:
ollama run hf.co/empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with Docker Model Runner:
docker model run hf.co/empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
- Lemonade
How to use empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.gemma3-270m-grounded-behavior-finetuned-v9-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Document fine-tuned GGUF model
Browse files
README.md
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tags:
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- gguf
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#
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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-cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF --jinja`
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- For multimodal models: `llama-mtmd-cli -hf empgces/gemma3-270m-grounded-behavior-finetuned-v9-GGUF --jinja`
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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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language:
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- pt
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license: gemma
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library_name: llama.cpp
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pipeline_tag: text-generation
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base_model: empgces/gemma3-270m-grounded-behavior-finetuned-v9
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base_model_relation: quantized
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datasets:
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- empgces/grounded-behavior-n1-pt
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tags:
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- gemma-3
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- fine-tuned
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- finetune
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- gguf
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- q4-k-m
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- unsloth
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- grounded-behavior
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---
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# Gemma 3 270M Grounded Behavior — Fine-tuned V9 GGUF
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Versão **GGUF `Q4_K_M`** do modelo fine-tuned
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[empgces/gemma3-270m-grounded-behavior-finetuned-v9](https://huggingface.co/empgces/gemma3-270m-grounded-behavior-finetuned-v9).
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O modelo foi treinado sobre `empgces/grounded-behavior-n1-pt` durante
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2 épocas e convertido para GGUF com Unsloth.
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Ao executar com llama.cpp, LM Studio ou Ollama, preserve o chat template Gemma
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incluído no artefacto para manter o mesmo formato usado durante o treino.
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