Alternatives and similar repositories for superbpe

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

• bminixhofer / zett
  Code for Zero-Shot Tokenizer Transfer
  ☆142Updated last year
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• allenai / bff
  ☆38Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• princeton-pli / MeCo
  Code for ICML 25 paper "Metadata Conditioning Accelerates Language Model Pre-training (MeCo)"
  ☆49Updated 7 months ago
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆76Updated 9 months ago
• bminixhofer / tokenkit
  A toolkit implementing advanced methods to transfer models and model knowledge across tokenizers.
  ☆61Updated 7 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆23Updated 9 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆23Updated last year
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆68Updated 9 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆78Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆88Updated last year
• sustcsonglin / mamba-triton
  ☆51Updated 2 years ago
• berlino / seq_icl
  ☆53Updated last year
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated 4 months ago
• kaistAI / factual-knowledge-acquisition
  ☆24Updated last month
• RobertCsordas / moeut
  ☆91Updated last year
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆75Updated 7 months ago
• hadasah / btm
  ☆77Updated last year
• SeunghyunSEO / optimized_hf_llama_class_for_training
  ☆48Updated last year
• whyNLP / LCKV
  Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…
  ☆157Updated 10 months ago
• chijames / KERPLE
  ☆20Updated 3 years ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆75Updated last year
• Cohere-Labs-Community / m-rewardbench
  Official Code for M-RᴇᴡᴀʀᴅBᴇɴᴄʜ: Evaluating Reward Models in Multilingual Settings (ACL 2025 Main)
  ☆40Updated 8 months ago
• catie-aq / flashT5
  A fast implementation of T5/UL2 in PyTorch using Flash Attention
  ☆113Updated 3 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆137Updated last year
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆78Updated last year