geronimi73 / qlora-minimalLinks
☆87Updated last year
Alternatives and similar repositories for qlora-minimal
Users that are interested in qlora-minimal are comparing it to the libraries listed below
Sorting:
- Simple examples using Argilla tools to build AI☆55Updated 10 months ago
- inference code for mixtral-8x7b-32kseqlen☆102Updated last year
- ☆116Updated 9 months ago
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated 10 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- ☆161Updated last month
- Low-Rank adapter extraction for fine-tuned transformers models☆177Updated last year
- An automated tool for discovering insights from research papaer corpora☆139Updated last year
- ☆67Updated last year
- Generate Synthetic Data Using OpenAI, MistralAI or AnthropicAI☆222Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- ☆88Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆83Updated 2 years ago
- ☆46Updated 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…☆170Updated last year
- Let's create synthetic textbooks together :)☆75Updated last year
- Some simple scripts that I use day-to-day when working with LLMs and Huggingface Hub☆161Updated 2 years ago
- This is our own implementation of 'Layer Selective Rank Reduction'☆240Updated last year
- ☆135Updated last year
- Function Calling Benchmark & Testing☆89Updated last year
- ☆28Updated last year
- Set of scripts to finetune LLMs☆38Updated last year
- Ongoing research training transformer models at scale☆38Updated last year
- Scripts to create your own moe models using mlx☆90Updated last year
- An easy-to-understand framework for LLM samplers that rewind and revise generated tokens☆146Updated 7 months ago
- Merge Transformers language models by use of gradient parameters.☆208Updated last year
- Convenient wrapper for fine-tuning and inference of Large Language Models (LLMs) with several quantization techniques (GTPQ, bitsandbytes…☆146Updated last year
- Video+code lecture on building nanoGPT from scratch☆69Updated last year
- Full finetuning of large language models without large memory requirements☆94Updated last week
- ☆36Updated last year