This is a tiny random Llama model derived from "meta-llama/Llama-2-7b-hf".
See make_tiny_model.py for how this was done.
This is useful for functional testing (not quality generation, since its weights are random and the tokenizer has been shrunk to 3k items)
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Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "stas/tiny-random-llama-2"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stas/tiny-random-llama-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'