Instructions to use EXCO123/admdk9 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 EXCO123/admdk9 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 EXCO123/admdk9:Q4_0 # Run inference directly in the terminal: llama cli -hf EXCO123/admdk9:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf EXCO123/admdk9:Q4_0 # Run inference directly in the terminal: llama cli -hf EXCO123/admdk9:Q4_0
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 EXCO123/admdk9:Q4_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf EXCO123/admdk9:Q4_0
Use Docker
docker model run hf.co/EXCO123/admdk9:Q4_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use EXCO123/admdk9 with Ollama:
ollama run hf.co/EXCO123/admdk9:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use EXCO123/admdk9 with Docker Model Runner:
docker model run hf.co/EXCO123/admdk9:Q4_0
- Lemonade
How to use EXCO123/admdk9 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EXCO123/admdk9:Q4_0
Run and chat with the model
lemonade run user.admdk9-Q4_0
List all available models
lemonade list
- Atomic Chat
Download optimizer.pt from EXCO123/admdk9: direct link, hf CLI and curl.
- Browser
- Download file 274 MB
-
https://huggingface.co/EXCO123/admdk9/resolve/main/optimizer.pt
- Command line
-
hf download hf://EXCO123/admdk9/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/EXCO123/admdk9/resolve/main/optimizer.pt
274 MB
- Xet hash:
- ce86b1bae1b838e731507b489cec348db755288ad761b785147cce9222e57b41
- Size of remote file:
- 274 MB
- SHA256:
- 0c03808bcc798890bd5cd9bef4ffb55b62461fff3a15ca9e5867550df1b189b8
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