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Michael P
Cixia111
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//Cixia Computing// Exploring Machine Learning, Building Dynamically, and Creating Stable Machine Minds.
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microsoft/bitnet-b1.58-2B-4T-gguf
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π Introducing Helios: a 14B real-time long-video generation model! Itβs completely wildβfaster than 1.3B models and achieves this without using self-forcing. Welcome to the new era of video generation! ππ π» Code: https://github.com/PKU-YuanGroup/Helios π Page: https://pku-yuangroup.github.io/Helios-Page π Paper: https://huggingface.co/papers/2603.04379 πΉ True Single-GPU Extreme Speed β‘οΈ No need to rely on traditional workarounds like KV-cache, quantization, sparse/linear attention, or TinyVAE. Helios hits an end-to-end 19.5 FPS on a single H100! Training is also highly accessible: an 80GB VRAM can fit four 14B models. πΉ Solving Long-Video "Drift" from the Core π₯ Tired of visual drift and repetitive loops? We ditched traditional hacks (like error banks, self-forcing, or keyframe sampling). Instead, our innovative training strategy simulates & eliminates drift directly, keeping minute-long videos incredibly coherent with stunning quality. β¨ πΉ 3 Model Variants for Full Coverage π οΈ With a unified architecture natively supporting T2V, I2V, and V2V, we are open-sourcing 3 flavors: 1οΈβ£ Base: Single-stage denoising for extreme high-fidelity. 2οΈβ£ Mid: Pyramid denoising + CFG-Zero for the perfect balance of quality & throughput. 3οΈβ£ Distilled: Adversarial Distillation (DMD) for ultra-fast, few-step generation. πΉ Day-0 Ecosystem Ready π We wanted deployment to be a breeze from the second we launched. Helios drops with comprehensive Day-0 hardware and framework support: β Huawei Ascend-NPU β HuggingFace Diffusers β vLLM-Omni β SGLang-Diffusion Try it out and let us know what you think!
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bartowski/gemma-2-2b-it-GGUF
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microsoft/bitnet-b1.58-2B-4T-gguf
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bartowski/gemma-2-2b-it-GGUF
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NoesisLab/Kai-30B-Instruct
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NoesisLab/Collins-Embedding-3M
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ajibawa-2023/Python-Code-Large
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