cognitivecomputations / laserRMT
This is our own implementation of 'Layer Selective Rank Reduction'
☆237Updated 11 months ago
Alternatives and similar repositories for laserRMT:
Users that are interested in laserRMT are comparing it to the libraries listed below
- Low-Rank adapter extraction for fine-tuned transformers models☆173Updated last year
- A bagel, with everything.☆320Updated last year
- ☆153Updated 9 months ago
- Merge Transformers language models by use of gradient parameters.☆208Updated 8 months ago
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆223Updated last year
- ☆115Updated 3 weeks ago
- ☆129Updated 8 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆236Updated last year
- QLoRA: Efficient Finetuning of Quantized LLMs☆78Updated last year
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆146Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated last year
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆198Updated 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
- 1.58-bit LLaMa model☆81Updated last year
- Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub☆161Updated last year
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆139Updated 2 months ago
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆121Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆231Updated 6 months ago
- An unsupervised model merging algorithm for Transformers-based language models.☆105Updated last year
- Full finetuning of large language models without large memory requirements☆94Updated last year
- Manage scalable open LLM inference endpoints in Slurm clusters☆254Updated 9 months ago
- Let's create synthetic textbooks together :)☆74Updated last year
- ☆66Updated 11 months ago
- an implementation of Self-Extend, to expand the context window via grouped attention☆119Updated last year
- Just a bunch of benchmark logs for different LLMs☆119Updated 9 months ago
- Notus is a collection of fine-tuned LLMs using SFT, DPO, SFT+DPO, and/or any other RLHF techniques, while always keeping a data-first app…☆168Updated last year
- ☆75Updated last year
- EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…☆215Updated 6 months ago
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 6 months ago