Alternatives and similar repositories for tokenization

Users that are interested in tokenization are comparing it to the libraries listed below

• allenai / fm-cheatsheet
  Website for hosting the Open Foundation Models Cheat Sheet.
  ☆269Updated 9 months ago
• Locutusque / TPU-Alignment
  Fully fine-tune large models like Mistral, Llama-2-13B, or Qwen-14B completely for free
  ☆232Updated last year
• hamelsmu / llama-inference
  experiments with inference on llama
  ☆103Updated last year
• tcapelle / llm_recipes
  A set of scripts and notebooks on LLM finetunning and dataset creation
  ☆116Updated last year
• abacaj / train-with-fsdp
  ☆94Updated 2 years ago
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆175Updated 7 months ago
• sangmichaelxie / cs324_p2
  Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)
  ☆105Updated 2 years ago
• AblateIt / finetune-study
  Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.
  ☆83Updated 2 years ago
• muellerzr / minimal-trainer-zoo
  Minimal example scripts of the Hugging Face Trainer, focused on staying under 150 lines
  ☆196Updated last year
• VikParuchuri / textbook_quality
  Generate textbook-quality synthetic LLM pretraining data
  ☆509Updated 2 years ago
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆280Updated last year
• srush / GPTWorld
  A puzzle to learn about prompting
  ☆135Updated 2 years ago
• FastEval / FastEval
  Fast & more realistic evaluation of chat language models. Includes leaderboard.
  ☆190Updated 2 years ago
• sabetAI / BLoRA
  batched loras
  ☆349Updated 2 years ago
• pacman100 / LLM-Workshop
  LLM Workshop by Sourab Mangrulkar
  ☆401Updated last year
• taylorai / galactic
  data cleaning and curation for unstructured text
  ☆328Updated last year
• jondurbin / bagel
  A bagel, with everything.
  ☆326Updated last year
• center-for-humans-and-machines / transformer-heads
  Toolkit for attaching, training, saving and loading of new heads for transformer models
  ☆294Updated 11 months ago
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆260Updated 2 years ago
• SkunkworksAI / hydra-moe
  ☆416Updated 2 years ago
• sdan / selfextend
  an implementation of Self-Extend, to expand the context window via grouped attention
  ☆119Updated 2 years ago
• Pleias / Quest-Best-Tokens
  An introduction to LLM Sampling
  ☆79Updated last year
• davanstrien / awesome-synthetic-datasets
  awesome synthetic (text) datasets
  ☆321Updated 3 weeks ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆138Updated 2 years ago
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆226Updated 4 months ago
• VikParuchuri / libgen_to_txt
  Convert all of libgen to high quality markdown
  ☆254Updated 2 years ago
• teknium1 / LLM-Benchmark-Logs
  Just a bunch of benchmark logs for different LLMs
  ☆119Updated last year
• imoneoi / multipack
  Multipack distributed sampler for fast padding-free training of LLMs
  ☆204Updated last year
• rasbt / dora-from-scratch
  LoRA and DoRA from Scratch Implementations
  ☆215Updated last year
• normster / llm_rules
  RuLES: a benchmark for evaluating rule-following in language models
  ☆248Updated 11 months ago