Instructions to use LiuWoodsCode/Llama32Cyn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiuWoodsCode/Llama32Cyn with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LiuWoodsCode/Llama32Cyn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use LiuWoodsCode/Llama32Cyn 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 LiuWoodsCode/Llama32Cyn:Q4_K_M # Run inference directly in the terminal: llama cli -hf LiuWoodsCode/Llama32Cyn:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf LiuWoodsCode/Llama32Cyn:Q4_K_M # Run inference directly in the terminal: llama cli -hf LiuWoodsCode/Llama32Cyn: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 LiuWoodsCode/Llama32Cyn:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf LiuWoodsCode/Llama32Cyn: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 LiuWoodsCode/Llama32Cyn:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf LiuWoodsCode/Llama32Cyn:Q4_K_M
Use Docker
docker model run hf.co/LiuWoodsCode/Llama32Cyn:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use LiuWoodsCode/Llama32Cyn with Ollama:
ollama run hf.co/LiuWoodsCode/Llama32Cyn:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use LiuWoodsCode/Llama32Cyn with Docker Model Runner:
docker model run hf.co/LiuWoodsCode/Llama32Cyn:Q4_K_M
- Lemonade
How to use LiuWoodsCode/Llama32Cyn with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LiuWoodsCode/Llama32Cyn:Q4_K_M
Run and chat with the model
lemonade run user.Llama32Cyn-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Llama32Cyn
Llama 3.2 Instruct 3.21B trained to act like Cyn from Murder Drones. This model is not an official Glitch Productions product, This model is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license. If you find any issues or have suggestions for improvements, feel free to leave a review and I will look into it for upcoming improvements and next version.
IMPORTANT:
Use the same template as the official Llama 3.2 3B instruct. System tokens must be present during inference, even if you set an empty system message. If you are unsure, just add a short system message as you wish.
Uploaded model
- Developed by: LiuWoodsCode
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-3b-instruct-bnb-4bit
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