philschmid / deep-learning-pytorch-huggingfaceLinks
☆1,301Updated 8 months ago
Alternatives and similar repositories for deep-learning-pytorch-huggingface
Users that are interested in deep-learning-pytorch-huggingface are comparing it to the libraries listed below
Sorting:
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,021Updated this week
- Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verifi…☆2,903Updated this week
- A reading list on LLM based Synthetic Data Generation 🔥☆1,441Updated 4 months ago
- Best practices for distilling large language models.☆578Updated last year
- Stanford NLP Python library for Representation Finetuning (ReFT)☆1,518Updated 8 months ago
- AllenAI's post-training codebase☆3,263Updated this week
- Minimalistic large language model 3D-parallelism training☆2,267Updated last month
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆890Updated 3 weeks ago
- A library for advanced large language model reasoning☆2,292Updated 4 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,619Updated last year
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,599Updated 9 months ago
- A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。☆706Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,614Updated last year
- LLM Workshop by Sourab Mangrulkar☆394Updated last year
- Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.☆2,687Updated last week
- Bringing BERT into modernity via both architecture changes and scaling☆1,549Updated 3 months ago
- A quick guide (especially) for trending instruction finetuning datasets☆3,281Updated last year
- Official repository for ORPO☆464Updated last year
- Recipes to scale inference-time compute of open models☆1,111Updated 5 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,885Updated 2 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,760Updated last year
- ☆687Updated 5 months ago
- Data and tools for generating and inspecting OLMo pre-training data.☆1,332Updated last month
- Summarize existing representative LLMs text datasets.☆1,368Updated 2 weeks ago
- Generative Representational Instruction Tuning☆675Updated 4 months ago
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,056Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆2,225Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,201Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆782Updated 7 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆923Updated 8 months ago