{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"mergoo","owner":"Leeroo-AI","isFork":false,"description":"A library for easily merging multiple LLM experts, and efficiently train the merged LLM.","allTopics":["nlp","open-source","transformers","merge","artificial-intelligence","multi-model","lora","fine-tuning","mixture-of-experts","large-language-models","llm","generative-ai","mixture-of-adapters"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":338,"forksCount":19,"license":"GNU Lesser General Public License v3.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-02T07:58:53.113Z"}},{"type":"Public","name":".github","owner":"Leeroo-AI","isFork":false,"description":"Leeroo Github Page","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-07T06:59:33.106Z"}},{"type":"Public","name":"leeroo_orchestrator","owner":"Leeroo-AI","isFork":false,"description":"The implementation of \"Leeroo Orchestrator: Elevating LLMs Performance Through Model Integration\"","allTopics":["nlp","performance","opensource","ai","efficiency","cost","mixture-of-experts","gpt4","large-language-models","llm","orchestration-of-experts"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":48,"forksCount":4,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-06T16:19:22.298Z"}}],"repositoryCount":3,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}