LongLoRA VS llama-peft-tuner

Compare LongLoRA vs llama-peft-tuner and see what are their differences.

LongLoRA

Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral) (by dvlab-research)

llama-peft-tuner

Tune LLaMa-7B on Alpaca Dataset using PEFT / LORA Based on @zphang's https://github.com/zphang/minimal-llama scripts. (by lxe)
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LongLoRA llama-peft-tuner
4 1
2,473 21
3.6% -
9.1 4.7
3 months ago about 1 year ago
Python Python
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

LongLoRA

Posts with mentions or reviews of LongLoRA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.
  • Ask HN: AI/ML papers to catch up with current state of AI?
    3 projects | news.ycombinator.com | 15 Dec 2023
    LongAlpaca / One of many ways to extend context, and a useful dataset / https://arxiv.org/abs/2309.12307
  • Aurelian: 70B 32K story-writing (and more) [Alpha]
    3 projects | /r/LocalLLaMA | 9 Dec 2023
    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.
  • Why train on Yi 4K instead of 200K?
    2 projects | /r/LocalLLaMA | 7 Dec 2023
    That used to be true, but things like LongLORA and LongQLoRA demonstrate that you can increase the context length of a foundation model.
  • Using Overfitting to Debug My LLM [P]
    1 project | /r/MachineLearning | 14 Oct 2023
    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:

llama-peft-tuner

Posts with mentions or reviews of llama-peft-tuner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.

What are some alternatives?

When comparing LongLoRA and llama-peft-tuner you can also consider the following projects:

relora - Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates

azure-search-openai-demo - A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Zicklein - Finetuning instruct-LLaMA on german datasets.

punica - Serving multiple LoRA finetuned LLM as one

torch-adapters - Small Library of PyTorch Adaptation modules

simple-llm-finetuner - Simple UI for LLM Model Finetuning

discus - A data-centric AI package for ML/AI. Get the best high-quality data for the best results. Discord: https://discord.gg/t6ADqBKrdZ

sketch - AI code-writing assistant that understands data content

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

RingAttention - Transformers with Arbitrarily Large Context

lora - Using Low-rank adaptation to quickly fine-tune diffusion models.