{"id":"hydrogen-1-0","slug":"hydrogen-1-0","name":"Hydrogen-1.0","orgId":"deep-principle","family":"hydrogen-1-0","releaseDate":null,"availability":"announced","openWeights":true,"license":null,"paramsTotal":753329940480,"paramsSource":"tracked","contextWindow":null,"knowledgeCutoff":null,"modelCardUrl":"https://x.com/DeepPrinciple/status/2117249008972550447","hfRepo":null,"modalities":["text"],"aliases":["Hydrogen-1.0","hydrogen-1.0","hydrogen 1.0","hydrogen1.0","deep-principle/hydrogen-1.0","deep-principle/hydrogen-1.0-mxfp4","deep-principle/hydrogen-1.0-nvfp4","hydrogen-1.0-mxfp4","hydrogen-1.0-nvfp4"],"aliasNote":null,"origin":"tracked","tracked":{"trackedSince":"2026-11-02","announced":"2026-11-02","blurb":"Deep Principle's open-weights model for scientific research in chemistry, materials science and life sciences, post-trained from Z.ai's GLM-5.3 on domain data, laboratory records and discovery trajectories. It has a 1M-token context and up to 128K output tokens. Weights on Hugging Face and ModelScope under the MIT license, with NVFP4 and MXFP4 builds; Deep Principle also offers it through NeuroSpark's API and its Mira AI Scientist product.","api":"live","openWeights":"yes","params":{"text":"About 753B (753,329,940,480 parameters in the BF16 safetensors, the same count as the GLM-5.3 checkpoint on Hugging Face)","source":"Hugging Face safetensors metadata for deep-principle/Hydrogen-1.0","total":753329940480},"facts":[{"label":"Type","value":"Text reasoning model for scientific work: experiment planning, protocol writing, results analysis, simulation workflows and materials design"},{"label":"Base model","value":"zai-org/GLM-5.3 (Z.ai), fully post-trained by Deep Principle; same architecture (Hugging Face tag glm_moe_dsa)"},{"label":"Training","value":"Supervised fine-tuning and reinforcement learning on chemistry, materials science and life sciences data, feedback from Deep Principle scientists, laboratory records and discovery trajectories; datasets and recipes not released"},{"label":"Context","value":"1M tokens, up to 128K output tokens, per the Hugging Face card"},{"label":"Weights","value":"Hugging Face deep-principle/Hydrogen-1.0 (BF16, gated with automatic approval) and ModelScope deep-principle/Hydrogen-1.0"},{"label":"Variants","value":"deep-principle/Hydrogen-1.0-NVFP4 (for NVIDIA Blackwell B200 and B300) and deep-principle/Hydrogen-1.0-MXFP4 (for AMD MI350X and MI355X), not gated"},{"label":"License","value":"MIT for the weights (LICENSE, copyright Deep Principle and Z.AI); Deep Principle's own code and docs under Apache 2.0; the upstream GLM-5.3 checkpoint keeps its own license"},{"label":"Serving","value":"SGLang on 8 GPUs, served model name hydrogen-1.0, per the Hugging Face card"},{"label":"API","value":"NeuroSpark API (model hydrogen-1.0)","unsure":true,"note":"linked from Deep Principle's blog; NeuroSpark's model page needs sign-in"},{"label":"Product","value":"Available in Mira, Deep Principle's AI Scientist"},{"label":"Collaborators","value":"UniPat and Mind Lab (data, training pipeline and infrastructure) and NeuroSpark (training infrastructure), per Deep Principle"}],"claims":["Lab claim: 38.3% on FrontierScience-Research, against 33.3% for GPT-6-Astra, and 93.0% on GPQA-Diamond, per Deep Principle's CTO.","Lab claim: in Deep Principle's internal tests, 5.13 and 4.76 points ahead of GPT-6 Astra (maximum thinking) on scientific computing and forward reaction prediction, while Astra scores 3.33 points higher on NMR structure elucidation.","Lab claim: in transition metal complex design, a mean best-so-far HOMO–LUMO gap of 4.318 eV after five rounds, against 3.689 eV for GPT-6-Astra and 3.353 eV for Kimi-K3.","Lab claim: a higher mean rubric score than Kimi-K3 on 117 shared experiment-planning questions."],"sources":[{"kind":"lab","title":"Deep Principle announcement on X","url":"https://x.com/DeepPrinciple/status/2117249008972550447","date":"2026-11-02"},{"kind":"lab","title":"Chenru Duan (Deep Principle CTO) post on X","url":"https://x.com/chenru_duan/status/2117249292469665838","date":"2026-11-02"},{"kind":"lab","title":"Introducing Hydrogen-1.0 (Deep Principle blog)","url":"https://blog.deepprinciple.com/introducing-hydrogen-1.0/"},{"kind":"repo","title":"deep-principle/Hydrogen-1.0 on Hugging Face","url":"https://huggingface.co/deep-principle/Hydrogen-1.0"},{"kind":"repo","title":"deep-principle/Hydrogen-1.0-NVFP4 on Hugging Face","url":"https://huggingface.co/deep-principle/Hydrogen-1.0-NVFP4"},{"kind":"repo","title":"deep-principle/Hydrogen-1.0-MXFP4 on Hugging Face","url":"https://huggingface.co/deep-principle/Hydrogen-1.0-MXFP4"},{"kind":"repo","title":"deep-principle/Hydrogen-1.0 on ModelScope","url":"https://www.modelscope.cn/models/deep-principle/Hydrogen-1.0"},{"kind":"press","title":"ModelScope post on X","url":"https://x.com/ModelScope2022/status/2117164818880696417","date":"2026-11-02"}],"peer":{"slug":"glm-5-3","label":"its base model, GLM 5.3"},"firstBenchmark":null},"organization":{"id":"deep-principle","name":"Deep Principle","slug":"deep-principle","country":null,"url":"https://www.deepprinciple.com","color":"#11110F","mark":"D"},"price":null,"answer":{"word":"Pending benchmarks.","scope":"Announced Nov 2, 2026; no independent results yet.","lead":"As of Nov 3, 2026, Hydrogen-1.0 is pending benchmarks on isitsota: announced Nov 2, 2026, with no independent results on the boards we track yet.","confidence":"low"},"status":"PENDING_BENCHMARKS","verdicts":[]}