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Repository containing code, dataset and paper for instruct-tuning LLMs (GPT-J/Neo, Pythia, Flan-T5, OPT, LLaMa, Bloom, Cerebras-GPT) for subjective question generation and evaluation
Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
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