Instructions to use EXCO123/admdk5 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/admdk5 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/admdk5:Q4_0 # Run inference directly in the terminal: llama cli -hf EXCO123/admdk5:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf EXCO123/admdk5:Q4_0 # Run inference directly in the terminal: llama cli -hf EXCO123/admdk5:Q4_0
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 EXCO123/admdk5:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf EXCO123/admdk5:Q4_0
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 EXCO123/admdk5:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf EXCO123/admdk5:Q4_0
Use Docker
docker model run hf.co/EXCO123/admdk5:Q4_0
- LM Studio
- Jan
- Ollama
How to use EXCO123/admdk5 with Ollama:
ollama run hf.co/EXCO123/admdk5:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use EXCO123/admdk5 with Docker Model Runner:
docker model run hf.co/EXCO123/admdk5:Q4_0
- Lemonade
How to use EXCO123/admdk5 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EXCO123/admdk5:Q4_0
Run and chat with the model
lemonade run user.admdk5-Q4_0
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from EXCO123/admdk5: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/EXCO123/admdk5/resolve/main/tokenizer.json
- Command line
-
hf download hf://EXCO123/admdk5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/EXCO123/admdk5/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 3ffd28693cb20bbdf4af6500f370049ba009de58da6e9d41e3a655868a4c35f4
- Size of remote file:
- 11.4 MB
- SHA256:
- e227525863892c07cf4a243e7c0eec27b894976e466103047788499de2361c4a
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