Zjh-819 / LLMDataHub
A quick guide (especially) for trending instruction finetuning datasets
☆2,443Updated 9 months ago
Related projects: ⓘ
- Tools for merging pretrained large language models.☆4,501Updated this week
- A framework for few-shot evaluation of language models.☆6,426Updated this week
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,513Updated last month
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,326Updated last month
- Aligning pretrained language models with instruction data generated by themselves.☆4,062Updated last year
- This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai,…☆1,747Updated 3 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,381Updated 3 months ago
- Robust recipes to align language models with human and AI preferences☆4,481Updated 3 weeks ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,333Updated 2 months ago
- SGLang is a fast serving framework for large language models and vision language models.☆5,121Updated this week
- An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)☆2,026Updated this week
- [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.☆1,764Updated this week
- Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought and OpenAI o1 🍓☆1,493Updated this week
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,210Updated 3 weeks ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,698Updated 7 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,436Updated this week
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆1,624Updated this week
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,115Updated 3 weeks ago
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,421Updated 6 months ago
- Accessible large language models via k-bit quantization for PyTorch.☆6,029Updated this week
- Reference implementation for DPO (Direct Preference Optimization)☆2,024Updated last month
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆3,561Updated this week
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,352Updated 6 months ago
- A Native-PyTorch Library for LLM Fine-tuning☆3,942Updated this week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆1,451Updated last month
- Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09…☆1,857Updated this week
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,148Updated last year
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆2,292Updated this week
- Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'☆1,130Updated 2 weeks ago
- MTEB: Massive Text Embedding Benchmark☆1,798Updated this week