gptqlora
airoboros
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gptqlora | airoboros | |
---|---|---|
2 | 8 | |
94 | 940 | |
- | - | |
7.6 | 8.7 | |
11 months ago | about 2 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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gptqlora
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(2/2) May 2023
GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ (https://github.com/qwopqwop200/gptqlora/tree/main)
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GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
The difference from QLoRA is that GPTQ is used instead of NF4 (Normal Float4) + DQ (Double Quantization) for model quantization. The advantage is that you can expect better performance because it provides better quantization than conventional bitsandbytes. The downside is that it is a one-shot quantization methodology, so it is more inconvenient than bitsandbytes, and unlike bitsandbytes, it is not universal. I'm still experimenting, but it seems to work. At least, I hope it can be more options for people using LoRA. https://github.com/qwopqwop200/gptqlora/tree/main
airoboros
- TinyLlama project aims to pretrain a 1.1B Llama model on 3T tokens
- Airoboros: Customizable implementation of the self-instruct paper
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airoboros (tool) overhaul
Just wanted to drop a note that I overhauled the airoboros tool not the models to have most of the prompts I've been using to build the datasets, plus a couple extras.
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(2/2) May 2023
airoboros: using large language models to fine-tune large language models (https://github.com/jondurbin/airoboros)
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Airoboros [7B/13B]
This is a fine-tuned LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros
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airobors-13b - 98% eval vs gpt-3.5-turbo
I used airoboros, a python tool I wrote, to generate the synthetic instruction response pairs, and included a jailbreak prompt to attempt to bypass OpenAI censorship. This is the only dataset used to fine-tune the model.
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[P] airoboros 7b - instruction tuned on 100k synthetic instruction/responses
This is a 7b parameter, fine-tuned on 100k synthetic instruction/response pairs generated by gpt-3.5-turbo using my version of self-instruct airoboros
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[P] airoboros: a rewrite of self-instruct/alpaca synthetic prompt generation
GitHub Repo
What are some alternatives?
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
WizardLM - Family of instruction-following LLMs powered by Evol-Instruct: WizardLM, WizardCoder and WizardMath
GirlfriendGPT - Girlfriend GPT is a Python project to build your own AI girlfriend using ChatGPT4.0
TinyLlama - The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
chathub - All-in-one chatbot client
WizardVicunaLM - LLM that combines the principles of wizardLM and vicunaLM
chain-of-thought-hub - Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
datablations - Scaling Data-Constrained Language Models
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
gorilla - Gorilla: An API store for LLMs