Instructions to use Aryanne/9b_plus_tie13 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 Aryanne/9b_plus_tie13 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 Aryanne/9b_plus_tie13:Q4_K_S # Run inference directly in the terminal: llama cli -hf Aryanne/9b_plus_tie13:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Aryanne/9b_plus_tie13:Q4_K_S # Run inference directly in the terminal: llama cli -hf Aryanne/9b_plus_tie13:Q4_K_S
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 Aryanne/9b_plus_tie13:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf Aryanne/9b_plus_tie13:Q4_K_S
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 Aryanne/9b_plus_tie13:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf Aryanne/9b_plus_tie13:Q4_K_S
Use Docker
docker model run hf.co/Aryanne/9b_plus_tie13:Q4_K_S
- LM Studio
- Jan
- Ollama
How to use Aryanne/9b_plus_tie13 with Ollama:
ollama run hf.co/Aryanne/9b_plus_tie13:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use Aryanne/9b_plus_tie13 with Docker Model Runner:
docker model run hf.co/Aryanne/9b_plus_tie13:Q4_K_S
- Lemonade
How to use Aryanne/9b_plus_tie13 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Aryanne/9b_plus_tie13:Q4_K_S
Run and chat with the model
lemonade run user.9b_plus_tie13-Q4_K_S
List all available models
lemonade list
- Atomic Chat
| slices: | |
| - sources: | |
| - model: teknium/OpenHermes-2-Mistral-7B | |
| layer_range: [0, 16] | |
| - sources: | |
| - model: teknium/OpenHermes-2-Mistral-7B | |
| layer_range: [12, 20] | |
| - sources: | |
| - model: teknium/OpenHermes-2-Mistral-7B | |
| layer_range: [16, 32] | |
| merge_method: passthrough | |
| dtype: float16 | |
| name: open | |
| merge_method: task_anysize | |
| base_model: open | |
| models: | |
| - model: KoboldAI/LLaMA2-13B-Tiefighter | |
| parameters: | |
| weight: 0.10 | |
| dtype: float16 |