Gryphe / BlockMerge_GradientLinks
Merge Transformers language models by use of gradient parameters.
☆206Updated 11 months ago
Alternatives and similar repositories for BlockMerge_Gradient
Users that are interested in BlockMerge_Gradient are comparing it to the libraries listed below
Sorting:
- This is our own implementation of 'Layer Selective Rank Reduction'☆239Updated last year
- A bagel, with everything.☆322Updated last year
- QLoRA: Efficient Finetuning of Quantized LLMs☆78Updated last year
- Low-Rank adapter extraction for fine-tuned transformers models☆173Updated last year
- An unsupervised model merging algorithm for Transformers-based language models.☆105Updated last year
- ☆74Updated last year
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆146Updated last year
- Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub☆162Updated last year
- Load multiple LoRA modules simultaneously and automatically switch the appropriate combination of LoRA modules to generate the best answe…☆156Updated last year
- Landmark Attention: Random-Access Infinite Context Length for Transformers QLoRA☆123Updated 2 years ago
- Landmark Attention: Random-Access Infinite Context Length for Transformers☆423Updated last year
- ☆157Updated 11 months ago
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- Spherical Merge Pytorch/HF format Language Models with minimal feature loss.☆132Updated last year
- A benchmark for emotional intelligence in large language models☆315Updated 11 months ago
- Model REVOLVER, a human in the loop model mixing system.☆33Updated last year
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆221Updated last year
- GPT-2 small trained on phi-like data☆66Updated last year
- Multipack distributed sampler for fast padding-free training of LLMs☆194Updated 11 months ago
- ☆95Updated last year
- Full finetuning of large language models without large memory requirements☆94Updated last year
- Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vecto…☆240Updated 4 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated 11 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆240Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆82Updated last year
- batched loras☆343Updated last year
- 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
- ☆134Updated 10 months ago
- Let's create synthetic textbooks together :)☆75Updated last year
- Automated prompting and scoring framework to evaluate LLMs using updated human knowledge prompts☆110Updated last year