LukasSonn/DoxygenStrings-Short
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How to use LukasSonn/DoxyLLamaShort with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="LukasSonn/DoxyLLamaShort", filename="doxygen-code-llama-short-34B-q8_v0.1.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
How to use LukasSonn/DoxyLLamaShort with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf LukasSonn/DoxyLLamaShort # Run inference directly in the terminal: llama-cli -hf LukasSonn/DoxyLLamaShort
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf LukasSonn/DoxyLLamaShort # Run inference directly in the terminal: llama-cli -hf LukasSonn/DoxyLLamaShort
# 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 LukasSonn/DoxyLLamaShort # Run inference directly in the terminal: ./llama-cli -hf LukasSonn/DoxyLLamaShort
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 LukasSonn/DoxyLLamaShort # Run inference directly in the terminal: ./build/bin/llama-cli -hf LukasSonn/DoxyLLamaShort
docker model run hf.co/LukasSonn/DoxyLLamaShort
How to use LukasSonn/DoxyLLamaShort with Ollama:
ollama run hf.co/LukasSonn/DoxyLLamaShort
How to use LukasSonn/DoxyLLamaShort with Unsloth Studio:
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for LukasSonn/DoxyLLamaShort to start chatting
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for LukasSonn/DoxyLLamaShort to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for LukasSonn/DoxyLLamaShort to start chatting
How to use LukasSonn/DoxyLLamaShort with Docker Model Runner:
docker model run hf.co/LukasSonn/DoxyLLamaShort
How to use LukasSonn/DoxyLLamaShort with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull LukasSonn/DoxyLLamaShort
lemonade run user.DoxyLLamaShort-{{QUANT_TAG}}lemonade list
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LukasSonn/DoxyLLamaShort# Run inference directly in the terminal:
llama-cli -hf LukasSonn/DoxyLLamaShort# 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 LukasSonn/DoxyLLamaShort# Run inference directly in the terminal:
./llama-cli -hf LukasSonn/DoxyLLamaShortgit 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 LukasSonn/DoxyLLamaShort# Run inference directly in the terminal:
./build/bin/llama-cli -hf LukasSonn/DoxyLLamaShortdocker model run hf.co/LukasSonn/DoxyLLamaShortWe're not able to determine the quantization variants.
Install from brew
# Start a local OpenAI-compatible server with a web UI: llama-server -hf LukasSonn/DoxyLLamaShort# Run inference directly in the terminal: llama-cli -hf LukasSonn/DoxyLLamaShort