Instructions to use Noname010101/hs_mods 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 Noname010101/hs_mods 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 Noname010101/hs_mods:Q4_K_M # Run inference directly in the terminal: llama cli -hf Noname010101/hs_mods:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Noname010101/hs_mods:Q4_K_M # Run inference directly in the terminal: llama cli -hf Noname010101/hs_mods:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf Noname010101/hs_mods:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf Noname010101/hs_mods:Q4_K_M
Use Docker
docker model run hf.co/Noname010101/hs_mods:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use Noname010101/hs_mods with Ollama:
ollama run hf.co/Noname010101/hs_mods:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Noname010101/hs_mods with Docker Model Runner:
docker model run hf.co/Noname010101/hs_mods:Q4_K_M
- Lemonade
How to use Noname010101/hs_mods with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Noname010101/hs_mods:Q4_K_M
Run and chat with the model
lemonade run user.hs_mods-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download llama_cpp_cuda.tar from Noname010101/hs_mods: direct link, hf CLI and curl.
- Browser
- Download file 1.48 GB
-
https://huggingface.co/Noname010101/hs_mods/resolve/main/llama_cpp_cuda.tar
- Command line
-
hf download hf://Noname010101/hs_mods/llama_cpp_cuda.tar
-
curl -L -o llama_cpp_cuda.tar https://huggingface.co/Noname010101/hs_mods/resolve/main/llama_cpp_cuda.tar
1.48 GB
- Xet hash:
- 04ab3e76c0ef45d5b2ab353227fca919b49993345d7febd33c6b99efde86d666
- Size of remote file:
- 1.48 GB
- SHA256:
- 78d673c653112f556f09810ef551b1f32fd9f8708a93622504c63b1486347c2d
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