🐦 Twitter Post Details

Viewing enriched Twitter post

@vllm_project

🚀 Great to see vLLM powering OCR at this scale — Chandra-OCR-2 (5B) serving ~60 papers/hour per L40S across 16 parallel jobs. The full pipeline breakdown is a great read 👇 🔗 https://t.co/z8tkv04ZLp https://t.co/vi9FPj6JIQ

Media 1
Media 2

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2043964594679636260/media_0.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2043964594679636260/media_0.jpg",
      "type": "photo",
      "filename": "media_0.jpg"
    },
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2043964594679636260/media_1.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2043964594679636260/media_1.jpg",
      "type": "photo",
      "filename": "media_1.jpg"
    }
  ],
  "processed_at": "2026-04-14T14:50:43.518850",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2043964594679636260",
  "url": "https://x.com/vllm_project/status/2043964594679636260",
  "twitterUrl": "https://twitter.com/vllm_project/status/2043964594679636260",
  "text": "🚀 Great to see vLLM powering OCR at this scale — Chandra-OCR-2 (5B) serving ~60 papers/hour per L40S across 16 parallel jobs.\n\nThe full pipeline breakdown is a great read 👇\n🔗 https://t.co/z8tkv04ZLp https://t.co/vi9FPj6JIQ",
  "source": "Twitter for iPhone",
  "retweetCount": 19,
  "replyCount": 4,
  "likeCount": 128,
  "quoteCount": 1,
  "viewCount": 9214,
  "createdAt": "Tue Apr 14 08:08:29 +0000 2026",
  "lang": "en",
  "bookmarkCount": 44,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2043964594679636260",
  "displayTextRange": [
    0,
    198
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "vllm_project",
    "url": "https://x.com/vllm_project",
    "twitterUrl": "https://twitter.com/vllm_project",
    "id": "1774187564276289536",
    "name": "vLLM",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1774187681746182144/N_5NJ8B1_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1774187564276289536/1733806062",
    "description": "",
    "location": "",
    "followers": 35100,
    "following": 33,
    "status": "",
    "canDm": true,
    "canMediaTag": true,
    "createdAt": "Sat Mar 30 21:31:01 +0000 2024",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 558,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 250,
    "statusesCount": 906,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "A high-throughput and memory-efficient inference and serving engine for LLMs. Join https://t.co/lxJ0SfX5pJ to discuss together with the community!",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [
            {
              "display_url": "slack.vllm.ai",
              "expanded_url": "http://slack.vllm.ai",
              "indices": [
                83,
                106
              ],
              "url": "https://t.co/lxJ0SfX5pJ"
            }
          ],
          "user_mentions": []
        },
        "url": {
          "urls": [
            {
              "display_url": "vllm.ai",
              "expanded_url": "https://vllm.ai",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/OSHR5C6pCV"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "display_url": "pic.twitter.com/vi9FPj6JIQ",
        "expanded_url": "https://twitter.com/vllm_project/status/2043964594679636260/photo/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "features": {
          "large": {
            "faces": []
          },
          "orig": {
            "faces": []
          }
        },
        "id_str": "2043963658385141762",
        "indices": [
          199,
          222
        ],
        "media_key": "3_2043963658385141762",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARxdnh4v2rACCgACHF2e+C9a4SQAAA==",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAABCgABHF2eHi/asAIKAAIcXZ74L1rhJAAA",
            "media_key": "3_2043963658385141762"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HF2eHi_asAINFSs.jpg",
        "original_info": {
          "focus_rects": [
            {
              "h": 1038,
              "w": 1854,
              "x": 0,
              "y": 0
            },
            {
              "h": 1502,
              "w": 1502,
              "x": 0,
              "y": 0
            },
            {
              "h": 1502,
              "w": 1318,
              "x": 0,
              "y": 0
            },
            {
              "h": 1502,
              "w": 751,
              "x": 227,
              "y": 0
            },
            {
              "h": 1502,
              "w": 1854,
              "x": 0,
              "y": 0
            }
          ],
          "height": 1502,
          "width": 1854
        },
        "sizes": {
          "large": {
            "h": 1502,
            "w": 1854
          }
        },
        "type": "photo",
        "url": "https://t.co/vi9FPj6JIQ"
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "huggingface.co/blog/nielsr/oc…",
        "expanded_url": "https://huggingface.co/blog/nielsr/ocr-papers-jobs",
        "indices": [
          175,
          198
        ],
        "url": "https://t.co/z8tkv04ZLp"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": {
    "type": "tweet",
    "id": "2043779449322160270",
    "url": "https://x.com/ClementDelangue/status/2043779449322160270",
    "twitterUrl": "https://twitter.com/ClementDelangue/status/2043779449322160270",
    "text": "We just OCR'd 27,000 arxiv papers into Markdown using an open 5B model, 16 parallel HF Jobs on L40S GPUs, and a mounted bucket.\n\nTotal cost: $850 Total time: ~29 hours Jobs that crashed: 0\n\nThis now powers \"Chat with your paper\" on https://t.co/G2mDae0uv9 https://t.co/qpz7Q9x8Od",
    "source": "Twitter for iPhone",
    "retweetCount": 209,
    "replyCount": 75,
    "likeCount": 1952,
    "quoteCount": 21,
    "viewCount": 121657,
    "createdAt": "Mon Apr 13 19:52:46 +0000 2026",
    "lang": "en",
    "bookmarkCount": 1375,
    "isReply": false,
    "inReplyToId": null,
    "conversationId": "2043779449322160270",
    "displayTextRange": [
      0,
      255
    ],
    "inReplyToUserId": null,
    "inReplyToUsername": null,
    "author": {
      "type": "user",
      "userName": "ClementDelangue",
      "url": "https://x.com/ClementDelangue",
      "twitterUrl": "https://twitter.com/ClementDelangue",
      "id": "186420551",
      "name": "clem 🤗",
      "isVerified": false,
      "isBlueVerified": true,
      "verifiedType": null,
      "profilePicture": "https://pbs.twimg.com/profile_images/1100512198139498497/utHSJ4st_normal.png",
      "coverPicture": "https://pbs.twimg.com/profile_banners/186420551/1731168567",
      "description": "",
      "location": "Miami / New York / Paris",
      "followers": 248929,
      "following": 4836,
      "status": "",
      "canDm": true,
      "canMediaTag": true,
      "createdAt": "Fri Sep 03 12:25:12 +0000 2010",
      "entities": {
        "description": {
          "urls": []
        },
        "url": {}
      },
      "fastFollowersCount": 0,
      "favouritesCount": 8641,
      "hasCustomTimelines": true,
      "isTranslator": false,
      "mediaCount": 2822,
      "statusesCount": 29444,
      "withheldInCountries": [],
      "affiliatesHighlightedLabel": {},
      "possiblySensitive": false,
      "pinnedTweetIds": [
        "2039695447506210905"
      ],
      "profile_bio": {
        "description": "Co-founder & CEO @HuggingFace 🤗, the open and collaborative platform for AI builders",
        "entities": {
          "description": {
            "hashtags": [],
            "symbols": [],
            "urls": [],
            "user_mentions": [
              {
                "id_str": "0",
                "indices": [
                  17,
                  29
                ],
                "name": "",
                "screen_name": "HuggingFace"
              }
            ]
          },
          "url": {
            "urls": [
              {
                "display_url": "huggingface.co/clem",
                "expanded_url": "http://huggingface.co/clem",
                "indices": [
                  0,
                  23
                ],
                "url": "https://t.co/7OMlqfI2Rh"
              }
            ]
          }
        }
      },
      "isAutomated": false,
      "automatedBy": null
    },
    "extendedEntities": {
      "media": [
        {
          "display_url": "pic.twitter.com/qpz7Q9x8Od",
          "expanded_url": "https://twitter.com/ClementDelangue/status/2043779449322160270/photo/1",
          "ext_media_availability": {
            "status": "Available"
          },
          "features": {
            "large": {
              "faces": []
            },
            "orig": {
              "faces": []
            }
          },
          "id_str": "2043779385258381312",
          "indices": [
            256,
            279
          ],
          "media_key": "3_2043779385258381312",
          "media_results": {
            "id": "QXBpTWVkaWFSZXN1bHRzOgwAAQoAARxc9oXBl5AACgACHFz2lKwXQI4AAA==",
            "result": {
              "__typename": "ApiMedia",
              "id": "QXBpTWVkaWE6DAABCgABHFz2hcGXkAAKAAIcXPaUrBdAjgAA",
              "media_key": "3_2043779385258381312"
            }
          },
          "media_url_https": "https://pbs.twimg.com/media/HFz2hcGXkAAWWMU.jpg",
          "original_info": {
            "focus_rects": [
              {
                "h": 784,
                "w": 1400,
                "x": 0,
                "y": 116
              },
              {
                "h": 900,
                "w": 900,
                "x": 144,
                "y": 0
              },
              {
                "h": 900,
                "w": 789,
                "x": 200,
                "y": 0
              },
              {
                "h": 900,
                "w": 450,
                "x": 369,
                "y": 0
              },
              {
                "h": 900,
                "w": 1400,
                "x": 0,
                "y": 0
              }
            ],
            "height": 900,
            "width": 1400
          },
          "sizes": {
            "large": {
              "h": 900,
              "w": 1400
            }
          },
          "type": "photo",
          "url": "https://t.co/qpz7Q9x8Od"
        }
      ]
    },
    "card": null,
    "place": {},
    "entities": {
      "hashtags": [],
      "symbols": [],
      "timestamps": [],
      "urls": [
        {
          "display_url": "hf.co/papers",
          "expanded_url": "http://hf.co/papers",
          "indices": [
            232,
            255
          ],
          "url": "https://t.co/G2mDae0uv9"
        }
      ],
      "user_mentions": []
    },
    "quoted_tweet": null,
    "retweeted_tweet": null,
    "isLimitedReply": false,
    "communityInfo": null,
    "article": null
  },
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "communityInfo": null,
  "article": null
}