Instructions to use tatjr13/damascus-t3b-base-a-shipped 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 tatjr13/damascus-t3b-base-a-shipped 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 tatjr13/damascus-t3b-base-a-shipped # Run inference directly in the terminal: llama cli -hf tatjr13/damascus-t3b-base-a-shipped
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tatjr13/damascus-t3b-base-a-shipped # Run inference directly in the terminal: llama cli -hf tatjr13/damascus-t3b-base-a-shipped
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 tatjr13/damascus-t3b-base-a-shipped # Run inference directly in the terminal: ./llama-cli -hf tatjr13/damascus-t3b-base-a-shipped
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 tatjr13/damascus-t3b-base-a-shipped # Run inference directly in the terminal: ./build/bin/llama-cli -hf tatjr13/damascus-t3b-base-a-shipped
Use Docker
docker model run hf.co/tatjr13/damascus-t3b-base-a-shipped
- LM Studio
- Jan
- Ollama
How to use tatjr13/damascus-t3b-base-a-shipped with Ollama:
ollama run hf.co/tatjr13/damascus-t3b-base-a-shipped
- Unsloth Desktop
- Docker Model Runner
How to use tatjr13/damascus-t3b-base-a-shipped with Docker Model Runner:
docker model run hf.co/tatjr13/damascus-t3b-base-a-shipped
- Lemonade
How to use tatjr13/damascus-t3b-base-a-shipped with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tatjr13/damascus-t3b-base-a-shipped
Run and chat with the model
lemonade run user.damascus-t3b-base-a-shipped-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
damascus-t3b-base-a-shipped
Untouched tpn-004 base (tpnlabs/tpn-004-base BF16, sha 5d425b36...) in the tpn-004 A layout (Q4_K_M body, Q8_0 token embedding, Q6_K output, imatrix; the 14.7 GB export /home/tim/tpn004/exports/A-im-q4km-q8e-q6o.gguf, sha 11425d78...) with the SHIPPED 305-char stripped chat template (sha 885e0c70...). DAMASCUS T3b: does cheaper compression lose Fluid points on the untouched base (vs L1 0.7193 and maxprec 0.7193)? Test artifact, not a competition entry.
- Downloads last month
- 162
We're not able to determine the quantization variants.