YAML Metadata Warning: The pipeline tag "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

🚀 GPT-5-Preview

Welcome to GPT-5-Preview! As Sam Altman once quipped, “GPT-5 will be a model picker,” and we thought, “Hey, that’s a golden chance for the open-source crew to flex some DIY muscle!” So, armed with $1.1 (roughly two cups of street-side bubble tea) and a lean 0.1B parameters, we’ve whipped up a GPT-5 model picker based on the RWKV architecture.

🌟 Model Card

Features

  • Dirt-Cheap Training: A grand total of $1.1, covering the depreciation of a squeaky GPU fan and the late-night electricity bill for our caffeine-fueled coding spree.
  • Pocket-Sized Parameters: 0.1B parameters—small enough to fit in your dusty old laptop without even cranking the cooling to max.
  • RWKV: Ditches Transformer’s memory-hogging nonsense for linear complexity, waving goodbye to those “CUDA out of VRAM” nightmares.

🤝 Join the Beggar’s Lab

We’re a ragtag bunch of open-source fanatics surviving on coffee fumes. Come aboard! We accept investments in:

  • End-of-Life GPU Hospice Care (RTX 4090s get VIP treatment; others might not cover the power bill).
  • AutoDL Coupons (Please send before they expire—we’re not picky).

📜 Academic Citation

If you think this project has a shred of academic worth (even just to pad your paper), cite us like this:

@misc{GPT5Preview2025,
  title={GPT-5-preview}, 
  author={ChiekoSeren},
  year={2025},
  url={https://huggingface.co/ChiekoSeren/GPT-5-preview}
}

🔮 Future Plans

  • Multimodal Dreams: Next time, we’ll tackle image recognition with a lavish $2 budget.
  • Community Power: PRs welcome—even a typo fix will have us weeping with gratitude.

Disclaimer: All profits (if we ever see any) will go straight to refilling the lab’s coffee machine. Sober coders write sober code, after all!

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Dataset used to train ChiekoSeren/GPT-5-preview