Instructions to use arabellako22/chyon_gemma_4_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 arabellako22/chyon_gemma_4_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 arabellako22/chyon_gemma_4_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf arabellako22/chyon_gemma_4_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 arabellako22/chyon_gemma_4_gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf arabellako22/chyon_gemma_4_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 arabellako22/chyon_gemma_4_gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf arabellako22/chyon_gemma_4_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 arabellako22/chyon_gemma_4_gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf arabellako22/chyon_gemma_4_gguf:Q4_K_M
Use Docker
docker model run hf.co/arabellako22/chyon_gemma_4_gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use arabellako22/chyon_gemma_4_gguf with Ollama:
ollama run hf.co/arabellako22/chyon_gemma_4_gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use arabellako22/chyon_gemma_4_gguf with Docker Model Runner:
docker model run hf.co/arabellako22/chyon_gemma_4_gguf:Q4_K_M
- Lemonade
How to use arabellako22/chyon_gemma_4_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull arabellako22/chyon_gemma_4_gguf:Q4_K_M
Run and chat with the model
lemonade run user.chyon_gemma_4_gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Chyon-Gemma-4 GGUF
This is a merged and quantized GGUF version of the LoRA fine-tuned model.
Source
- Base model:
unsloth/gemma-4-E2B-it - LoRA adapter:
arabellako22/chyon_lora_model - Merged full model:
arabellako22/chyon_merged_full_gemma_4
Files
chyon-gemma-4.Q4_K_M.gguf: recommended local versionchyon-gemma-4.Q5_K_M.gguf: better quality, larger size
Recommended prompt template
Use the same Gemma-style template used during training:
<start_of_turn>user
{{ system_prompt }}
{{ user_prompt }}<end_of_turn>
<start_of_turn>model
- Downloads last month
- 4
Hardware compatibility
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