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Tencent · Video · 8.55B parameters · Apache-2.0

Hy-Nomas

Needs 11 GB at FP8 / INT8. The smallest real configuration today is 1× RTX 3060 at Vast.ai, $0.04 per hour, about $26 a month at 730 hours.

Parameters8.55Bdense
CategoryVideosized on weights + headroom
Checkpoint192 GBBF16, as published
LicenseApache-2.0check before commercial use
ReleasedOct 21, 2026documented date
Downloads38,105tencent/Hy-Nomas ↗
Smallest configuration · FP8 / INT8
1× RTX 306012 GB VRAM · 86% used
Per hour
$0.04
Per month
$26
Cheapest at
Vast.ai
All RTX 3060 offers →

What is documented about Hy-Nomas

news checked 2026-10-27

Free-form interactive video world model: segment-autoregressive dual-stream MMDiT (54 blocks) with persistent KV cache, text + camera control, 8 denoising steps. Diffusers files: transformer 17.11 GB BF16 (8.55B params per HF metadata), text encoder 14.14 GB (Qwen2.5-VL-7B language model), PixelUMM decoder 13.94 GB. Original repo 196 GB (FP32 base_ar and distilled DiTs 34.2 GB each, INT8 DiT 9.06 GB, PixelUMM FP8 9.14 GB, LoRAs). WanGP, SGLang and ComfyUI support within a week.

  • https://huggingface.co/tencent/Hy-Nomas
  • https://huggingface.co/api/models/tencent/Hy-Nomas?blobs=true
  • https://huggingface.co/api/models/tencent/Hy-Nomas-Diffusers?blobs=true
Memory · 3 precisions

How much VRAM it needs

Weights plus 20% runtime overhead. For video models, activations also depend on resolution, clip length and batch size; the per-GPU estimates below give the practical configuration.

PrecisionWeightsWeights + headroom
BF16published checkpoint192 GB231 GB
FP8 / INT8estimated9 GB11 GB
INT4 / MXFP4estimated5 GB7 GB
Cross-checked on Hugging Face Oct 28, 2026: repository read, 192.1 GB of weight files. Method: weights as published at the native precision, verified on Hugging Face 2026-10-28; other precisions estimated at 1 (8-bit) and 0.6 (4-bit) bytes per parameter; × 1.2 runtime headroom; KV cache not added (architecture not readable).
Smallest configuration per GPU · 110 GPUs · cheapest eligible on-demand offer per GPU count, every provider on file

What it costs to run, GPU by GPU

The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.

GPUSmallest configVRAM used$ / hour$ / monthCheapest at
RTX 3060Best fit1× 12 GB12 GB total86%$0.04$26Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.05, gcube $0.05
RTX A20001× 12 GB12 GB total86%$0.04$26Vast.aiTrust 78 · read Nov 1 · receipt · also gcube $0.09
T41× 16 GB16 GB total64%$0.04$29Vast.aiTrust 78 · read Nov 1 · receipt · also iwinv $0.20, Theta EdgeCloud $0.20
Tesla P401× 24 GB24 GB total43%$0.04$30Clore.aiTrust 46 · read Nov 1 · receipt · also gcube $0.07, Vast.ai $0.11
GTX Titan X1× 12 GB12 GB total86%$0.04$31Vast.aiTrust 78 · read Nov 1 · receipt
Titan Xp1× 12 GB12 GB total86%$0.04$31Vast.aiTrust 78 · read Nov 1 · receipt
Tesla P1001× 16 GB16 GB total64%$0.04$33Vast.aiTrust 78 · read Nov 1 · receipt · also gcube $0.07
GTX 1080 Ti1× 11 GB11 GB total93% tight$0.06$45Vast.aiTrust 78 · read Nov 1 · receipt · also Edgevana $0.08
RTX A40001× 16 GB16 GB total64%$0.06$46Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.07, Edgevana $0.10
Tesla V100 16GB1× 16 GB16 GB total64%$0.06$46Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.08, CloudRift $0.28
RTX 2080 Ti1× 11 GB11 GB total93% tight$0.07$49gcubenot scored · read Nov 1 · receipt · also Vast.ai $0.07, Edgevana $0.09
Tesla V100 32GB1× 32 GB32 GB total32%$0.07$50Vast.aiTrust 78 · read Nov 1 · receipt · also Cyfuture AI $0.57, E2E Networks $1.50
RTX PRO 20001× 16 GB16 GB total64%$0.07$51Clore.aiTrust 46 · read Nov 1 · receipt · also gcube $0.16
Tesla M401× 24 GB24 GB total43%$0.07$54Clore.aiTrust 46 · read Nov 1 · receipt · also gcube $0.07
RTX 3080 Ti1× 12 GB12 GB total86%$0.08$60Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.10, gcube $0.10
RTX 40701× 12 GB12 GB total86%$0.08$61Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.12, gcube $0.14
GTX 16602× 6 GB12 GB total86%$0.09$64Vast.aiTrust 78 · read Nov 1 · receipt
RTX 5060 Ti1× 16 GB16 GB total64%$0.09$64Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.09, Theta EdgeCloud $0.12
RTX 30901× 24 GB24 GB total43%$0.09$66Akash NetworkTrust 53 · read Nov 1 · receipt · also Vast.ai $0.10, Clore.ai $0.11
RTX 4070 Super1× 12 GB12 GB total86%$0.10$70Vast.aiTrust 78 · read Nov 1 · receipt · also gcube $0.15, Clore.ai $0.17
GTX 10702× 8 GB16 GB total64%$0.10$70Vast.aiTrust 78 · read Nov 1 · receipt
GTX 1070 Ti2× 8 GB16 GB total64%$0.10$76Vast.aiTrust 78 · read Nov 1 · receipt
L41× 24 GB24 GB total43%$0.10$76Vast.aiTrust 78 · read Nov 1 · receipt · also Hikube $0.27, Infomaniak $0.28
GTX 10802× 8 GB16 GB total64%$0.11$79Vast.aiTrust 78 · read Nov 1 · receipt
The 24 cheapest of 100 GPU types that fit. Every GPU, any precision and context, in the finder