How to use from
vLLM
Install from pip and serve model
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shafire/talktoai-F16-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shafire/talktoai-F16-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'
Use Docker
docker model run hf.co/shafire/talktoai-F16-GGUF
Quick Links

shafire/talktoai-F16-GGUF

This LoRA adapter was converted to GGUF format from shafire/talktoai via the ggml.ai's GGUF-my-lora space. Refer to the original adapter repository for more details.

LICENSE: Zero Public Licence v1.0 Section 1 โ€“ Safety layer must stay intact. Section 2 โ€“ Export to states under UK embargo requires licence. Section 3 โ€“ Author disclaims forks that remove Section 1 or 2.

Use with llama.cpp

# with cli
llama-cli -m base_model.gguf --lora talktoai-f16.gguf (...other args)

# with server
llama-server -m base_model.gguf --lora talktoai-f16.gguf (...other args)

To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.

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GGUF
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Architecture
llama
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