Vezora/Tested-22k-Python-Alpaca
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How to use Lodo97/coder-2b-v0.1 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Lodo97/coder-2b-v0.1 # Run inference directly in the terminal: llama cli -hf Lodo97/coder-2b-v0.1
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Lodo97/coder-2b-v0.1 # Run inference directly in the terminal: llama cli -hf Lodo97/coder-2b-v0.1
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 Lodo97/coder-2b-v0.1 # Run inference directly in the terminal: ./build/bin/llama cli -hf Lodo97/coder-2b-v0.1
docker model run hf.co/Lodo97/coder-2b-v0.1
How to use Lodo97/coder-2b-v0.1 with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Lodo97/coder-2b-v0.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Lodo97/coder-2b-v0.1",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/Lodo97/coder-2b-v0.1
How to use Lodo97/coder-2b-v0.1 with Ollama:
ollama run hf.co/Lodo97/coder-2b-v0.1
How to use Lodo97/coder-2b-v0.1 with Docker Model Runner:
docker model run hf.co/Lodo97/coder-2b-v0.1
How to use Lodo97/coder-2b-v0.1 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Lodo97/coder-2b-v0.1
lemonade run user.coder-2b-v0.1-{{QUANT_TAG}}lemonade list
We're not able to determine the quantization variants.