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https://github.com/antimatter15/alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
https://github.com/antimatter15/alpaca.cpp
Last synced: about 2 months ago
JSON representation
Locally run an Instruction-Tuned Chat-Style LLM
- Host: GitHub
- URL: https://github.com/antimatter15/alpaca.cpp
- Owner: antimatter15
- License: mit
- Fork: true (ggerganov/llama.cpp)
- Created: 2023-03-16T10:58:48.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2023-04-19T14:43:04.000Z (over 1 year ago)
- Last Synced: 2024-05-01T19:00:02.352Z (5 months ago)
- Language: C
- Homepage:
- Size: 1.29 MB
- Stars: 10,260
- Watchers: 102
- Forks: 921
- Open Issues: 137
Awesome Lists containing this project
- my-awesome - antimatter15/alpaca.cpp - 04 star:10.3k fork:0.9k Locally run an Instruction-Tuned Chat-Style LLM (C)
- awesome-transformer-nlp - Alpaca.cpp - Run a fast ChatGPT-like model locally on your device. (Transformer Implementations By Communities / Other)
- awesome-ChatGPT-repositories - alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM (NLP)
- Self-Hosting-Guide - Alpaca.cpp - like model locally on your device. It combines the [LLaMA foundation model](https://github.com/facebookresearch/llama) with an [open reproduction](https://github.com/tloen/alpaca-lora) of [Stanford Alpaca](https://github.com/tatsu-lab/stanford_alpaca) a fine-tuning of the base model to obey instructions (akin to the [RLHF](https://huggingface.co/blog/rlhf) used to train ChatGPT) and a set of modifications to [llama.cpp](https://github.com/ggerganov/llama.cpp) to add a chat interface. (Tools for Self-Hosting / Running Locally on Windows, MacOS, and Linux:)