embeddings-benchmark / arena
Code for the MTEB Arena
☆15Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for arena
- ☆41Updated 2 weeks ago
- code for training & evaluating Contextual Document Embedding models☆120Updated this week
- minimal pytorch implementation of bm25 (with sparse tensors)☆90Updated 8 months ago
- Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment☆46Updated 2 months ago
- ☆94Updated 2 months ago
- ☆112Updated this week
- ☆112Updated last month
- Manage scalable open LLM inference endpoints in Slurm clusters☆238Updated 4 months ago
- Simple replication of [ColBERT-v1](https://arxiv.org/abs/2004.12832).☆77Updated 8 months ago
- Comprehensive analysis of difference in performance of QLora, Lora, and Full Finetunes.☆81Updated last year
- ☆66Updated this week
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆64Updated last month
- Codebase accompanying the Summary of a Haystack paper.☆72Updated 2 months ago
- Archon provides a modular framework for combining different inference-time techniques and LMs with just a JSON config file.☆129Updated last month
- Using open source LLMs to build synthetic datasets for direct preference optimization☆41Updated 8 months ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆122Updated 8 months ago
- ☆101Updated 3 months ago
- The first dense retrieval model that can be prompted like an LM☆63Updated 2 months ago
- Code for NeurIPS LLM Efficiency Challenge☆54Updated 7 months ago
- Code for Zero-Shot Tokenizer Transfer☆117Updated last month
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆84Updated this week
- Prune transformer layers☆65Updated 5 months ago
- Set of scripts to finetune LLMs☆36Updated 7 months ago
- A fork of the PEFT library, supporting Robust Adaptation (RoSA)☆13Updated 3 months ago
- Track OpenAI compatible requests to a dataset☆57Updated this week
- Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for tr…☆51Updated 3 weeks ago
- Discovering Data-driven Hypotheses in the Wild☆41Updated this week
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆97Updated 7 months ago
- ☆126Updated 7 months ago
- Let's build better datasets, together!☆206Updated this week