ChrisHayduk / qlora-multi-gpu
QLoRA with Enhanced Multi GPU Support
☆36Updated last year
Related projects ⓘ
Alternatives and complementary repositories for qlora-multi-gpu
- Repository containing the SPIN experiments on the DIBT 10k ranked prompts☆23Updated 8 months ago
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated last year
- ☆49Updated 8 months ago
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆81Updated last year
- QLoRA for Masked Language Modeling☆20Updated last year
- ☆22Updated last year
- ☆24Updated last year
- [WIP] Transformer to embed Danbooru labelsets☆13Updated 7 months ago
- ☆40Updated 2 weeks ago
- Using open source LLMs to build synthetic datasets for direct preference optimization☆40Updated 8 months ago
- Exploring finetuning public checkpoints on filter 8K sequences on Pile☆115Updated last year
- Code for NeurIPS LLM Efficiency Challenge☆54Updated 7 months ago
- ☆48Updated last year
- Multi-Domain Expert Learning☆67Updated 9 months ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆77Updated 7 months ago
- This repository contains code for cleaning your training data of benchmark data to help combat data snooping.☆25Updated last year
- GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ☆97Updated last year
- Zeus LLM Trainer is a rewrite of Stanford Alpaca aiming to be the trainer for all Large Language Models☆69Updated last year
- Tokun to can tokens☆15Updated last week
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated last year
- Experiments with generating opensource language model assistants☆97Updated last year
- Collection of autoregressive model implementation☆67Updated this week
- ☆93Updated last month
- ☆37Updated last year
- Lightweight tools for quick and easy LLM demo's☆26Updated last month
- ☆45Updated 2 months ago
- ☆20Updated last year
- A library for squeakily cleaning and filtering language datasets.☆45Updated last year
- ☆32Updated last year