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@ -55,6 +55,12 @@ cmake --build . --config Release
- (You can add other launch options like `--n 8` as preferred onto the same line)
- You can now type to the AI in the terminal and it will reply. Enjoy!
## 13B
TODO
Torrent: `magnet:?xt=urn:btih:f3cf71b172129d6b5abccab393bc32253fac8159&dn=ggml-alpaca-13b-q4.bin&tr=udp%3A%2F%http://2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%https://t.co/zenhelfwRd%3A6969%2Fannounce&tr=https%3A%2F%https://t.co/zenhelfwRd%3A443%2Fannounce&tr=udp%3A%2F%https://t.co/RRAn1X65wE%3A6969%2Fannounce&tr=udp%3A%2F%https://t.co/uTXBeTLUMa%3A2810%2Fannounce`
## Credit
This combines [Facebook's LLaMA](https://github.com/facebookresearch/llama), [Stanford Alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html), [alpaca-lora](https://github.com/tloen/alpaca-lora) and [corresponding weights](https://huggingface.co/tloen/alpaca-lora-7b/tree/main) by Eric Wang (which uses [Jason Phang's implementation of LLaMA](https://github.com/huggingface/transformers/pull/21955) on top of Hugging Face Transformers), and [llama.cpp](https://github.com/ggerganov/llama.cpp) by Georgi Gerganov. The chat implementation is based on Matvey Soloviev's [Interactive Mode](https://github.com/ggerganov/llama.cpp/pull/61) for llama.cpp. Inspired by [Simon Willison's](https://til.simonwillison.net/llms/llama-7b-m2) getting started guide for LLaMA.