Hydrogen 1.0 — Hardware Requirements & GPU Compatibility
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Hydrogen 1.0 is a 753.3B-parameter open language model from deep-principle. At BF16 it needs about 1657.33 GB of VRAM — see which GPUs and Macs can run it below.
Hydrogen 1.0 runs on a GPU cluster
BF16 needs ~1.7 TB · about 3 nodes of 8× H100 SXM 80 GB
MIT
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Hydrogen 1.0
One recommended way. Every other method, OS and quant is in the step-by-step guide.Each way opens a step-by-step guide for your OS and quant.
Recommended
vllm serve deep-principle/Hydrogen-1.0 --max-model-len 16384 --tensor-parallel-size 8 --pipeline-parallel-size <nodes>Size the nodes from the table above
Download: Weights on Hugging Face
Ways to runOther ways
each opens step-by-stepRun in cloud
Rent 3× 8-GPU H100 SXM nodes · BF16
- Estimated hourly price
- ~$64.56/hr
- est., whole cluster
- GPUs
- 24 GPUs
- 1.9 TB of VRAM
$5+ bonus for new users
How Much VRAM Does Hydrogen 1.0 Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 1657.3 GB | 1677 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 3 nodes of 8× H100 SXM |
Selected BF16
Brain floating point 161666.5GBat 16K context
- Weights
- 1655.7 GB
- KV cache
- 10.5 GB
- Overhead
- 0.3 GB
Server-class: ~1.7 TB at 16K context · about 3 nodes of 8× H100 SXM 80 GB
Which Hardware Can Run Hydrogen 1.0?
BF16 · 1657.3 GBHydrogen 1.0 (BF16) requires 1657.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 2155+ GB is recommended. No consumer GPU has enough memory.
Needs server-class hardware
Hydrogen 1.0 runs on a GPU cluster · BF16 needs ~1.7 TB
| Hardware | Quant | Memory | Context | Hardware page | |
|---|---|---|---|---|---|
| GPU cluster · 3 nodes of 8× H100 SXM 80 GB | BF16 | 1666.5 GB | 32K ctx | H100 SXM → | BF16 · 1666.5 GB · 32K ctx |
By VRAM tier · typical GPUs and Macs at BF16
Consumer GPUs (up to 32 GB) and Macs up to 512 GB: too small for this model (needs ≥ 1.7 TB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Similar models
2| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| DeepSeek V4.1 Flash 1017DeepSeek | 134.4 | 458.4 GB | —needs > 24 GB | same size |
| GLM 5.3Z.ai | 130.1 | 453.8 GB | —needs > 24 GB | same size |
Fine-tunes & variants(1)
Frequently Asked Questions
How much VRAM does Hydrogen 1.0 need?
Hydrogen 1.0 requires 1657.3 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 753.3B × 16 bits ÷ 8 = 1506.7 GB
KV Cache + Overhead ≈ 150.6 GB (at 2K context + ~0.3 GB framework)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Hydrogen 1.0?
No — Hydrogen 1.0 requires at least 1657.3 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
Can I run Hydrogen 1.0 on a Mac?
Hydrogen 1.0 requires at least 1657.3 GB at BF16. None of the 146 Macs we list has that much usable memory (the largest has 508.5 GB after macOS overhead).
Can I run Hydrogen 1.0 locally?
Yes — Hydrogen 1.0 can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of Hydrogen 1.0?
At BF16, the download is about 1506.66 GB.
Which GPUs can run Hydrogen 1.0?
No single consumer GPU has enough VRAM to run Hydrogen 1.0 at BF16 (1657.3 GB). Multi-GPU or professional hardware is required.
Which devices can run Hydrogen 1.0?
Hydrogen 1.0 requires at least 1657.3 GB at BF16, which exceeds the usable memory of every unified-memory device we list (the largest has 508.5 GB).