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3 main goals exist for 0.3:
1) SOTA performance on metal and near-SOTA on cuda + cpu for transformers
2) Wide range of models (Whisper, Diffusion models, Yolo, etc.)
3) Single-device training
I …
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Study SOTA approaches and modern papers:
1. [SmoothQuant](https://arxiv.org/pdf/2211.10438.pdf) [github](https://github.com/mit-han-lab/smoothquant)
2. [AWQ](https://arxiv.org/pdf/2306.00978.pdf) [gi…
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## Describe the enhancement
I'dl ike to use claude as a model.
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Hello, the work is very detailed and excellent. I have a question: Why is the 10k data all multi-turn data? Why not add single-turn dialogue data?
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Using this issue to keep track of the **state-of-the-art** achieved using **ResNeSt** models:
## Instance Segmentation
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/ba…
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Why does the paper not have comparison against recent SoTA benchmarks (like [this](https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_A_Simple_Multi-Modality_Transfer_Learning_Baseline_for_Sig…
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Hi,
As we know, the sota pose estimation net liteHRnet is so famous in the are of pose estimation.So could Tengine support this efficient liteHRnet model to compared with the best domestic pad…
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Hello, thanks for your great work!
I tried to reproduce the results on the Mapillary val set that mIoU is 61.05. But I got **60.08** on val set there is still a 1.0 gap with your model results. My t…
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https://python.plainenglish.io/generating-perfectly-structured-json-using-llms-all-the-time-13b7eb504240
https://docs.pydantic.dev/latest/
https://github.com/outlines-dev/outlines[
https://github.c…
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Hi, that's an excellent work! But I wonder if it can run on my own dataset. I saw `parser.add_argument('--dataset_name', type=str, default='blender', choices=['n3dv_dynamic','deepview_dynamic',])` in …