🐦 Twitter Post Details

Viewing enriched Twitter post

@yihengxu_

1/ 🧵 🎉 Introducing Lemur-70B & Lemur-70B-Chat: 🚀Open & SOTA Foundation Models for Language Agents! The closest open model to GPT-3.5 on 🤖15 agent tasks🤖! 📄Paper: https://t.co/6on1cqzU1j 🤗Model @huggingface : https://t.co/0gMt3nPSf0 More details 👇 https://t.co/7FaU4A3ydN

arXiv

Lemur: Harmonizing Natural Language and Code for Language Agents

Lemur and Lemur-Chat are language models optimized for natural language and coding, enhancing language agents' capabilities....

• Models harmonize natural language and coding skills.

• Achieve state-of-the-art performance on benchmarks.

Hugging Face

OpenLemur (OpenLemur)

OpenLemur is a non-profit organization focused on developing state-of-the-art open foundation models for language agents....

• OpenLemur develops advanced language models.

• Recent papers authored by SivilTaram on code performance.

View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "id": "",
      "type": "photo",
      "url": null,
      "media_url": "https://pbs.twimg.com/media/F8QgiNwaMAMd_4a.jpg",
      "media_url_https": null,
      "display_url": null,
      "expanded_url": null
    }
  ],
  "nlp": {
    "sentiment": "positive",
    "processed_at": "2025-08-06T12:45:52.474269"
  },
  "score": 1.0,
  "scored_at": "2025-08-09T13:46:07.543132",
  "import_source": "manual_curation_2023",
  "score_components": {
    "author": 0.09,
    "engagement": 0.12966430335102286,
    "quality": 0.18,
    "source": 0.15,
    "nlp": 0.1,
    "recency": 0.010000000000000002
  },
  "source_tagged_at": "2025-08-09T13:42:55.927127",
  "enriched": true,
  "enriched_at": "2025-08-09T13:42:55.927129",
  "enriched_links": [
    {
      "url": "https://t.co/6on1cqzU1j",
      "title": "Lemur: Harmonizing Natural Language and Code for Language Agents",
      "description": "Lemur and Lemur-Chat are language models optimized for natural language and coding, enhancing language agents' capabilities.",
      "content_type": "article",
      "author": "Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu",
      "site_name": "arXiv",
      "image_url": null,
      "key_points": [
        "Models harmonize natural language and coding skills.",
        "Achieve state-of-the-art performance on benchmarks.",
        "Narrow the gap with proprietary models in agent abilities."
      ],
      "enriched_at": "2025-08-10T10:30:04.477283"
    },
    {
      "url": "https://t.co/0gMt3nPSf0",
      "title": "OpenLemur (OpenLemur)",
      "description": "OpenLemur is a non-profit organization focused on developing state-of-the-art open foundation models for language agents.",
      "content_type": "article",
      "author": "SivilTaram",
      "site_name": "Hugging Face",
      "image_url": null,
      "key_points": [
        "OpenLemur develops advanced language models.",
        "Recent papers authored by SivilTaram on code performance.",
        "Community engagement with 13 team members."
      ],
      "enriched_at": "2025-08-10T10:30:07.735666"
    }
  ],
  "llm_enriched": true,
  "llm_enriched_at": "2025-08-10T10:30:08.266058",
  "original_structure": "had_media_only"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2020-05-16T04:00:15.000Z",
    "default_profile_image": false,
    "description": "nlp research @hkuniversity | ex @msftresearch",
    "fast_followers_count": 0,
    "favourites_count": 97,
    "followers_count": 151,
    "friends_count": 221,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 12,
    "location": "",
    "media_count": 10,
    "name": "Yiheng Xu",
    "normal_followers_count": 151,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/1261506688835706880/1589601747",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1261507158778109952/SO9WHZTF_normal.jpg",
    "screen_name": "yihengxu_",
    "statuses_count": 33,
    "translator_type": "none",
    "url": "https://t.co/26FjY7EFXG",
    "verified": false,
    "withheld_in_countries": [],
    "id_str": "1261506688835706880"
  },
  "id": "1712537543688990940",
  "conversation_id": "1712537543688990940",
  "full_text": "1/ 🧵 🎉 Introducing Lemur-70B & Lemur-70B-Chat:\n\n🚀Open & SOTA Foundation Models for Language Agents!\n\nThe closest open model to GPT-3.5 on 🤖15 agent tasks🤖!\n\n📄Paper: https://t.co/6on1cqzU1j\n🤗Model @huggingface : https://t.co/0gMt3nPSf0\n\nMore details 👇 https://t.co/7FaU4A3ydN",
  "reply_count": 6,
  "retweet_count": 65,
  "favorite_count": 261,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [
    {
      "id_str": "778764142412984320",
      "name": "Hugging Face",
      "screen_name": "huggingface",
      "profile": "https://twitter.com/huggingface"
    }
  ],
  "urls": [
    {
      "url": "https://t.co/6on1cqzU1j",
      "expanded_url": "http://arxiv.org/abs/2310.06830",
      "display_url": "arxiv.org/abs/2310.06830"
    },
    {
      "url": "https://t.co/0gMt3nPSf0",
      "expanded_url": "http://huggingface.co/OpenLemur",
      "display_url": "huggingface.co/OpenLemur"
    }
  ],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/F8QgiNwaMAMd_4a.jpg",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/yihengxu_/status/1712537543688990940",
  "created_at": "2023-10-12T18:35:42.000Z",
  "#sort_index": "1712537543688990940",
  "view_count": 95987,
  "quote_count": 5,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://twitter.com/yihengxu_/status/1712537543688990940"
}