relora
LongLoRA
| relora | LongLoRA | |
|---|---|---|
| 2 | 4 | |
| 399 | 2,454 | |
| - | 2.9% | |
| 8.3 | 9.1 | |
| 21 days ago | 3 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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relora
- ReLoRA: High-Rank Training Through Low-Rank Updates
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Aurelian: 70B 32K story-writing (and more) [Alpha]
Similarly, the dominant components selected before training may change order as you train. ReLORA is basically a way to re-align and make sure you are always training something close to the current most important params.
LongLoRA
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Ask HN: AI/ML papers to catch up with current state of AI?
LongAlpaca / One of many ways to extend context, and a useful dataset / https://arxiv.org/abs/2309.12307
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Aurelian: 70B 32K story-writing (and more) [Alpha]
Finally, LongLORA is a method to reduce the number of computations over a large context, and also specifically train the embed and norm layers fully, that is, no quantization or LORA for those. They are small layers and easy to train without too much VRAM cost, but the LongLORA authors noticed they have a big impact on long context performance. I am not using their computation reduction methods, but I am using their suggestion to train embed/norm layers fully.
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Why train on Yi 4K instead of 200K?
That used to be true, but things like LongLORA and LongQLoRA demonstrate that you can increase the context length of a foundation model.
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Using Overfitting to Debug My LLM [P]
For reference, I am using the LongLoRA SFT implementation for fine-tuning a CodeLLaMA model on a code generation instruction. I have also attached my evaluation code below:
What are some alternatives?
adanet - Fast and flexible AutoML with learning guarantees.
Zicklein - Finetuning instruct-LLaMA on german datasets.
torch-adapters - Small Library of PyTorch Adaptation modules
discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ
punica - Serving multiple LoRA finetuned LLM as one
RingAttention - Transformers with Arbitrarily Large Context
xTuring - Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
llama-peft-tuner - Tune LLaMa-7B on Alpaca Dataset using PEFT / LORA Based on @zphang's https://github.com/zphang/minimal-llama scripts.
LLM-Finetuning-Hub - Toolkit for fine-tuning, ablating and unit-testing open-source LLMs. [Moved to: https://github.com/georgian-io/LLM-Finetuning-Toolkit]