{
  "user": {
    "created_at": "2016-06-25T19:34:15.000Z",
    "default_profile_image": false,
    "description": "Language modeling researcher since 2016. PhD from @nlpnoah at @UW. Ex-visiting researcher @MetaAI research labs & @MosaicML",
    "fast_followers_count": 0,
    "favourites_count": 1947,
    "followers_count": 6618,
    "friends_count": 2641,
    "has_custom_timelines": false,
    "is_translator": false,
    "listed_count": 122,
    "location": "Seattle, WA",
    "media_count": 155,
    "name": "Ofir Press",
    "normal_followers_count": 6618,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/746788615951355904/1582586129",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1417293853543964672/yaq4r49L_normal.jpg",
    "screen_name": "OfirPress",
    "statuses_count": 1196,
    "translator_type": "none",
    "url": "https://t.co/2d9vOGYE8u",
    "verified": false,
    "withheld_in_countries": [],
    "id_str": "746788615951355904"
  },
  "id": "1694843643314475422",
  "conversation_id": "1694843643314475422",
  "full_text": "Code LLaMA has good results and good eval. It's cool to see PPL decrease all the way  up to 100K tokens (after finetuning on 100K token-long inputs). \n\nFacebook is close to replicating GPT-4 performance on HumanEval. Great news for the open source/science communities! https://t.co/AYctaO6KG0",
  "reply_count": 5,
  "retweet_count": 7,
  "favorite_count": 116,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/F4VKrf9WQAAJFBs.png",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/OfirPress/status/1694843643314475422",
  "created_at": "2023-08-24T22:46:27.000Z",
  "#sort_index": "1694843643314475422",
  "view_count": 22742,
  "quote_count": 2,
  "is_quote_tweet": false,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "startUrl": "https://twitter.com/ofirpress/status/1694843643314475422"
}