What are the hardware requirements for Hydrogen 1.0 NVFP4?

Hydrogen 1.0 NVFP4 requires approximately 369.7 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Hydrogen 1.0 NVFP4 and how large is it?

Hydrogen 1.0 NVFP4 is developed by deep-principle, a model with 381b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Hydrogen 1.0 NVFP4?

Hydrogen 1.0 NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Hydrogen 1.0 NVFP4 by deep-principle — VRAM 369.7GB, 1024K context

Name: Hydrogen 1.0 NVFP4
Author: deep-principle

Hydrogen 1.0 NVFP4 is an open-source language model by deep-principle. Features: 381b LLM, VRAM: 369.7GB, Context: 1024K, License: mit, MoE.

8-bit Base model:deep-principle/hydr... Base model:quantized:deep-prin... Conversational Glm moe dsa Modelopt Moe Nvfp4 Region:us Safetensors Science Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deep-principle/Hydrogen-1.0-NVFP4

Hydrogen 1.0 NVFP4 Parameters and Internals

LLM Name	Hydrogen 1.0 NVFP4
Repository 🤗	https://huggingface.co/deep-principle/Hydrogen-1.0-NVFP4
Base Model(s)	deep-principle/Hydrogen-1.0 deep-principle/Hydrogen-1.0
Model Size	381b
Required VRAM	369.7 GB
Updated	2026-11-04
Maintainer	deep-principle
Model Type	glm_moe_dsa
Model Files	10.0 GB: 1-of-47 10.0 GB: 2-of-47 10.0 GB: 3-of-47 10.0 GB: 4-of-47 10.0 GB: 5-of-47 10.0 GB: 6-of-47 10.0 GB: 7-of-47 9.8 GB: 8-of-47 10.0 GB: 9-of-47 10.0 GB: 10-of-47 10.0 GB: 11-of-47 10.0 GB: 12-of-47 10.0 GB: 13-of-47 10.0 GB: 14-of-47 10.0 GB: 15-of-47 10.0 GB: 16-of-47 10.0 GB: 17-of-47 10.0 GB: 18-of-47 10.0 GB: 19-of-47 10.0 GB: 20-of-47 10.0 GB: 21-of-47 10.0 GB: 22-of-47 10.0 GB: 23-of-47 10.0 GB: 24-of-47 10.0 GB: 25-of-47 10.0 GB: 26-of-47 10.0 GB: 27-of-47 10.0 GB: 28-of-47 10.0 GB: 29-of-47 10.0 GB: 30-of-47 10.0 GB: 31-of-47 9.9 GB: 32-of-47 10.0 GB: 33-of-47 10.0 GB: 34-of-47 10.0 GB: 35-of-47 10.0 GB: 36-of-47 10.0 GB: 37-of-47
Model Architecture	GlmMoeDsaForCausalLM
License	mit
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.19.0
Vocabulary Size	154880

Rank the Hydrogen 1.0 NVFP4 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Hydrogen 1.0 NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
GLM 5.2 NVFP4	1024K / 429.9 GB	1356729	276
GLM 5.3 NVFP4	1024K / 419.9 GB	5752	8
SuperGLM 5.2 Abliterated NVFP4	1024K / 410 GB	2520	49
GLM 5.3 NVFP4	1024K / 419.9 GB	650	0
GLM 5.2 NVFP4	1024K / 429.9 GB	167	3

Note: green Score (e.g. "73.2") means that the model is better than deep-principle/Hydrogen-1.0-NVFP4.