Instructions to use SufficientPrune3897/gemma-3-27b-Character-Creator-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 SufficientPrune3897/gemma-3-27b-Character-Creator-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 SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf SufficientPrune3897/gemma-3-27b-Character-Creator-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 SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf SufficientPrune3897/gemma-3-27b-Character-Creator-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 SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf SufficientPrune3897/gemma-3-27b-Character-Creator-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 SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M
Use Docker
docker model run hf.co/SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF with Ollama:
ollama run hf.co/SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF with Docker Model Runner:
docker model run hf.co/SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M
- Lemonade
How to use SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.gemma-3-27b-Character-Creator-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
This is a finetune that is made to create Sillytavern characters.
Capabilities:
- Character (of course)
- Scenarios
- Groups of connected characters
- Generate SDXL/SD1.5/natural language prompts of an image of the character
- Generating Intros
This model ist trained on ~1200 Samples, about 1/3 multiturn. It has a strong prebaked structure.
If you want this finetune on a different model, just comment and i will do it.
Plans for V2: Shorter answers, a bit more NSFW, better image prompts, more samples
V2 failed, so did V3. V4 will be only solo characters. Hopefully that stops it from generating way to much.
Uploaded finetuned model
- Developed by: SufficientPrune3897
- Finetuned from model : unsloth/gemma-3-27b-it-unsloth-bnb-4bit
This gemma3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Downloads last month
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Model tree for SufficientPrune3897/gemma-3-27b-Character-Creator-GGUF
Base model
google/gemma-3-27b-pt