Instructions to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-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-Q5_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF", dtype="auto") - llama-cpp-python
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-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-Q5_K_M-GGUF", filename="kaiden-sakura-violet-square-azura-crimson-12b-q5_k_m.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-Q5_K_M-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-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
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-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_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 kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_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 kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
Use Docker
docker model run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
- LM Studio
- Jan
- Ollama
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF with Ollama:
ollama run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
- Unsloth Studio
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-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-Q5_K_M-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-Q5_K_M-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-Q5_K_M-GGUF to start chatting
- Docker Model Runner
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF with Docker Model Runner:
docker model run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
- Lemonade
How to use kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M
Run and chat with the model
lemonade run user.Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF-Q5_K_M
List all available models
lemonade list
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-Q5_K_M-GGUF:Q5_K_M# Run inference directly in the terminal:
llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_MUse 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-Q5_K_M-GGUF:Q5_K_M# Run inference directly in the terminal:
./llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_MBuild 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-Q5_K_M-GGUF:Q5_K_M# Run inference directly in the terminal:
./build/bin/llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_MUse Docker
docker model run hf.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_Mmerge
This is a merge of pre-trained language models created using mergekit.
Main Model:
https://huggingface.co/kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B
Merge Details
Merge Method
This model was merged using the Model Stock merge method using PocketDoc/Dans-SakuraKaze-V1.0.0-12b as a base.
prompt style
you need to use chatml.
Models Merged
The following models were included in the merge:
- Epiculous/Azure_Dusk-v0.2
- Nitral-AI/Captain-Eris_Violet-V0.420-12B
- Epiculous/Violet_Twilight-v0.2
- Epiculous/Crimson_Dawn-v0.2
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
base_model: PocketDoc/Dans-SakuraKaze-V1.0.0-12b
parameters:
models:
- model: Nitral-AI/Captain-Eris_Violet-V0.420-12B
- model: Epiculous/Violet_Twilight-v0.2
- model: Epiculous/Azure_Dusk-v0.2
- model: Epiculous/Crimson_Dawn-v0.2
dtype: bfloat16
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Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M# Run inference directly in the terminal: llama-cli -hf kainatq/Kaiden-Sakura-Violet-Square-Azura-crimson-12B-Q5_K_M-GGUF:Q5_K_M