thomasgauthier / LoRD
Low-Rank adapter extraction for fine-tuned transformers models
☆171Updated 10 months ago
Alternatives and similar repositories for LoRD:
Users that are interested in LoRD are comparing it to the libraries listed below
- This is our own implementation of 'Layer Selective Rank Reduction'☆233Updated 9 months ago
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆150Updated last year
- Merge Transformers language models by use of gradient parameters.☆205Updated 7 months ago
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆135Updated 3 weeks ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆77Updated 11 months ago
- ☆113Updated 5 months ago
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆224Updated 10 months ago
- An unsupervised model merging algorithm for Transformers-based language models.☆106Updated 10 months ago
- Let's create synthetic textbooks together :)☆73Updated last year
- ☆65Updated 9 months ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆223Updated 10 months ago
- Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub☆157Updated last year
- A bagel, with everything.☆317Updated 11 months ago
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆117Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆196Updated 7 months ago
- ☆126Updated 6 months ago
- Multipack distributed sampler for fast padding-free training of LLMs☆186Updated 7 months ago
- ☆152Updated 7 months ago
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆147Updated last year
- A benchmark for emotional intelligence in large language models☆244Updated 7 months ago
- Full finetuning of large language models without large memory requirements☆93Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…☆227Updated 3 weeks ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆253Updated 8 months ago
- GPT-2 small trained on phi-like data☆65Updated last year
- ☆111Updated 2 months ago
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆204Updated 4 months ago
- ☆74Updated last year