Instructions to use tevykuch/sl0th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tevykuch/sl0th with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tevykuch/sl0th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tevykuch/sl0th 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 tevykuch/sl0th:F16 # Run inference directly in the terminal: llama cli -hf tevykuch/sl0th:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tevykuch/sl0th:F16 # Run inference directly in the terminal: llama cli -hf tevykuch/sl0th:F16
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 tevykuch/sl0th:F16 # Run inference directly in the terminal: ./llama-cli -hf tevykuch/sl0th:F16
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 tevykuch/sl0th:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf tevykuch/sl0th:F16
Use Docker
docker model run hf.co/tevykuch/sl0th:F16
- LM Studio
- Jan
- Ollama
How to use tevykuch/sl0th with Ollama:
ollama run hf.co/tevykuch/sl0th:F16
- Unsloth Desktop
- Docker Model Runner
How to use tevykuch/sl0th with Docker Model Runner:
docker model run hf.co/tevykuch/sl0th:F16
- Lemonade
How to use tevykuch/sl0th with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tevykuch/sl0th:F16
Run and chat with the model
lemonade run user.sl0th-F16
List all available models
lemonade list
- Atomic Chat
Download tokenizer.model from tevykuch/sl0th: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/tevykuch/sl0th/resolve/main/tokenizer.model
- Command line
-
hf download hf://tevykuch/sl0th/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/tevykuch/sl0th/resolve/main/tokenizer.model
493 kB
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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