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Description

Hydrogen-1.0 is a scientific language model with open weights, created by Deep Principle by post-training GLM-5.3 on a diverse range of data including chemistry, materials science, and life sciences, as well as laboratory notes and research paths. This model aims to assist researchers in tackling scientific inquiries, elucidating derivations, examining reaction pathways, interpreting spectra, designing experiments, and formulating material hypotheses. Among its demonstrations are scientific computing workflows, exploration of reaction networks, NMR structure analysis, planning of experiments, and discovery of materials. Users can access the model by downloading its weights from platforms like Hugging Face and ModelScope, using API access via NeuroSpark, or through Deep Principle's Mira AI Scientist. Moreover, Hydrogen-1.0 can be executed locally on suitable hardware and software configurations. It is essential for researchers to assess the model's outputs in light of pertinent evidence and scientific limitations, ensuring a responsible application in their work. Ultimately, Hydrogen-1.0 represents a significant advancement in making scientific research more efficient and accessible.

Description

Zochi stands out as the first autonomous AI system capable of completing the entire scientific research cycle, ranging from formulating hypotheses to achieving peer-reviewed publication, while generating cutting-edge outcomes. In contrast to previous systems that were confined to specific, well-defined tasks, Zochi thrives in confronting research challenges that are at the cutting edge of artificial intelligence. The system's effectiveness is demonstrated through a series of peer-reviewed papers accepted at the ICLR 2025 workshops, highlighting Zochi's capacity to produce innovative and academically sound contributions. Furthermore, Zochi recognized a significant obstacle within the AI field: the issue of cross-skill interference during parameter-efficient fine-tuning. This problem arises when models are adapted for multiple tasks at once, leading to enhancements in one skill that may negatively impact others. To combat this challenge, Zochi introduced a novel approach called CS-ReFT (Compositional Subspace Representation Fine-tuning), which emphasizes the editing of representations instead of altering weights. This groundbreaking method has the potential to revolutionize how AI systems are fine-tuned for diverse applications.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Hugging Face Yes 
ModelScope Yes 

Integrations

Hugging Face No 
ModelScope No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Deep Principle

Founded

2024

Country

China

Website

blog.deepprinciple.com/introducing-hydrogen-1.0/

Vendor Details

Company Name

Intology

Founded

2025

Country

United States

Website

www.intology.ai/blog/zochi-tech-report

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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