SumanthRH / tokenizationLinks
A comprehensive deep dive into the world of tokens
☆226Updated last year
Alternatives and similar repositories for tokenization
Users that are interested in tokenization are comparing it to the libraries listed below
Sorting:
- Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free☆232Updated 10 months ago
- Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines☆197Updated last year
- ☆94Updated last year
- A set of scripts and notebooks on LLM finetunning and dataset creation☆110Updated 11 months ago
- Fast bare-bones BPE for modern tokenizer training☆164Updated 2 months ago
- A puzzle to learn about prompting☆135Updated 2 years ago
- Website for hosting the Open Foundation Models Cheat Sheet.☆268Updated 4 months ago
- experiments with inference on llama☆104Updated last year
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆83Updated 2 years ago
- Generate textbook-quality synthetic LLM pretraining data☆505Updated last year
- Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)☆105Updated 2 years ago
- Manage scalable open LLM inference endpoints in Slurm clusters☆271Updated last year
- batched loras☆345Updated 2 years ago
- Highly commented implementations of Transformers in PyTorch☆136Updated 2 years ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆256Updated last year
- An introduction to LLM Sampling☆79Updated 9 months ago
- A bagel, with everything.☆324Updated last year
- Convert all of libgen to high quality markdown☆253Updated last year
- Toolkit for attaching, training, saving and loading of new heads for transformer models☆286Updated 6 months ago
- ☆155Updated 9 months ago
- awesome synthetic (text) datasets☆296Updated 2 months ago
- Let's build better datasets, together!☆263Updated 8 months ago
- data cleaning and curation for unstructured text☆328Updated last year
- code for training & evaluating Contextual Document Embedding models☆197Updated 4 months ago
- Just a bunch of benchmark logs for different LLMs☆119Updated last year
- an implementation of Self-Extend, to expand the context window via grouped attention☆118Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆349Updated last year
- ☆88Updated last year
- A compact LLM pretrained in 9 days by using high quality data☆323Updated 5 months ago
- Full finetuning of large language models without large memory requirements☆94Updated last year