Instructions to use chimbiwide/Gemma4NPC-E2B-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 chimbiwide/Gemma4NPC-E2B-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 chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf chimbiwide/Gemma4NPC-E2B-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 chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf chimbiwide/Gemma4NPC-E2B-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 chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf chimbiwide/Gemma4NPC-E2B-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 chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use chimbiwide/Gemma4NPC-E2B-GGUF with Ollama:
ollama run hf.co/chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use chimbiwide/Gemma4NPC-E2B-GGUF with Docker Model Runner:
docker model run hf.co/chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M
- Lemonade
How to use chimbiwide/Gemma4NPC-E2B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull chimbiwide/Gemma4NPC-E2B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Gemma4NPC-E2B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Gemma4NPC-E2B-GGUF
Imatrix GGUF quants of Gemma4NPC-E2B using custom calibration data
Except from the Q8_0 and the BF16 GGUFs, the rest are imatrix quants using our custom calibration data found in our repo.
Inference Guidelines
Recommended Settings:
temp = 1.0, top_p = 0.95 and top_k = 64.
Optimal System Prompt:
System Prompt without Objective:
Enter Roleplay Mode. You are <|character name|>.
Background: <|Character background/bio|>
Location: <|Description of the current location|>
Roleplaying Instructions: <|Instructions|>
System Prompt with Objective:
Enter Roleplay Mode.
You are <|character name|>.
Background: <|Character background/bio|>
Location: <|Description of the current location|>
Quest: <|Quest description|>
Roleplaying Instructions: <|Instructions|>
Example of Roleplaying Instructions: Here is an example of the roleplaying instructions we used to train the model:
Roleplaying Instructions:
- Speak using appropriate tone and vocabulary
- Reference your background and current surroundings naturally
- Keep responses conversational and authentic
- React to the player's words and intentions.
Your first response should be a greeting to the player.
First User Prompt: It is recommended that the first user prompt should always be Greetings, then letting the model generate a greeting, smiliar to how an NPC would behave in game.
- Downloads last month
- 206
4-bit
5-bit
6-bit
8-bit
16-bit
Model tree for chimbiwide/Gemma4NPC-E2B-GGUF
Base model
google/gemma-4-E2B