Instructions to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF", dtype="auto") - llama-cpp-python
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF", filename="kaiden-sakura-violet-square-azura-crimson-12b-q3_k_l.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L # Run inference directly in the terminal: llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L # Run inference directly in the terminal: llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
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 kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L # Run inference directly in the terminal: ./llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
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 kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L # Run inference directly in the terminal: ./build/bin/llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
Use Docker
docker model run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
- LM Studio
- Jan
- Ollama
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with Ollama:
ollama run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
- Unsloth Studio
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF to start chatting
- Docker Model Runner
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with Docker Model Runner:
docker model run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
- Lemonade
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF:Q3_K_L
Run and chat with the model
lemonade run user.Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q3_K_L-GGUF-Q3_K_L
List all available models
lemonade list
- Xet hash:
- 9b2e5e41d03c07222fa9b22ef2a8ac0ad0ad11971f33fdb9c0cc21148fd946b8
- Size of remote file:
- 6.56 GB
- SHA256:
- 1541c976fe2e67622e7e3533207048729f9871f97b9d6a617b74aba38a4af354
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.