Alternatives and similar repositories for Early_Weight_Avg:

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

• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆30Updated 2 weeks ago
• xhan77 / in-context-alignment
  In-Context Alignment: Chat with Vanilla Language Models Before Fine-Tuning
  ☆34Updated last year
• lucy3 / whos_filtered
  ☆14Updated 7 months ago
• yale-nlp / refdpo
  ☆16Updated 9 months ago
• linkedin / ControlLLM
  Control LLM
  ☆14Updated last month
• allenai / sso
  Repository for Skill Set Optimization
  ☆12Updated 9 months ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆32Updated 10 months ago
• lucidrains / tableformer-pytorch
  Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch
  ☆37Updated 3 years ago
• likenneth / persona_drift
  Measuring and Controlling Persona Drift in Language Model Dialogs
  ☆17Updated last year
• allenai / EmbeddingRecycling
  Embedding Recycling for Language models
  ☆38Updated last year
• mukhal / PromptRank
  [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting
  ☆27Updated last year
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆34Updated 7 months ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• facebookresearch / romqa
  A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering
  ☆16Updated 2 years ago
• kaistAI / factual-knowledge-acquisition
  ☆17Updated last week
• Tomorrowdawn / top_nsigma
  The official code repo and data hub of top_nsigma sampling strategy for LLMs.
  ☆24Updated 2 months ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆45Updated 5 months ago
• duykhuongnguyen / LASeR-MAB
  Code for paper: "LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits"
  ☆13Updated 7 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆44Updated last year
• limenlp / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• facebookresearch / lss_eval
  This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found he…
  ☆31Updated last year
• princeton-nlp / ELIZA-Transformer
  [NAACL 2025] Representing Rule-based Chatbots with Transformers
  ☆20Updated 3 months ago
• sunyt32 / torchscale
  Transformers at any scale
  ☆41Updated last year
• google-research-datasets / swim-ir
  SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…
  ☆48Updated last year
• swarnaHub / SummarizationPrograms
  [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees
  ☆24Updated last year
• HazyResearch / aioli
  Aioli: A unified optimization framework for language model data mixing
  ☆25Updated 3 months ago
• nlp-uoregon / ullme
  ☆19Updated last month
• facebookresearch / ketod
  KETOD Knowledge-Enriched Task-Oriented Dialogue
  ☆32Updated 2 years ago
• peterbhase / SLAG-Belief-Updating
  Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"
  ☆28Updated 3 years ago
• yxuansu / Contrastive_Search_versus_Contrastive_Decoding
  An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation
  ☆27Updated 11 months ago