{
  "id": 17971907,
  "title": "Hydrogen-1.0 MIT Open Weights: Gated BF16, NVFP4 262K Context Cliff, and Vendor FSR vs GPT-6 Astra",
  "url": "https://urgent.news/2026/11/03/hydrogen-1-0-mit-open-weights-gated-bf16-nvfp4-262k-context-cliff-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-03T14:16:50.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/yong_yu_f98e15562e9b120a0/hydrogen-10-mit-open-weights-gated-bf16-nvfp4-262k-context-cliff-and-vendor-fsr-vs-gpt-6-astra-coe"
  },
  "original_language": "en",
  "account": "Deep Principle unveiled Hydrogen-1.0 on November 2, 2026. It is an open-weight scientific model designed for chemistry, materials science, and life sciences, created by fine-tuning the zai-org/GLM-5.3 model. Hydrogen-1.0 comes in three variants: BF16 gated, ungated NVFP4, and ungated MXFP4. The model offers vendor-reported benchmarks, stating it outperforms GPT-6-Astra on FrontierScience-Research (FSR) and improves over GLM-5.3 on GPQA-Diamonds.",
  "summary": "Attributed compile + one small offline run on my box Primary source: Introducing Hydrogen-1.0 by Deep Principle , published 2026-11-02 . Weights: deep-principle/Hydrogen-1.0 (BF16, gated: auto, MIT, base zai-org/GLM-5.3 ) · Hydrogen-1.0-NVFP4 (ungated) · Hydrogen-1.0-MXFP4 (ungated). Local USAGE / NVFP4 card copies: /workspace/reputation/runs/32-hydrogen-1.0/ . Secondary compile: forkalt —…",
  "key_points": [
    "Hydrogen-1.0 released on November 2, 2026",
    "Three variants: BF16 gated, NVFP4, MXFP4",
    "Outperforms GPT-6-Astra on FSR benchmarks"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}