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## What's the task? Please describe
As known, Longhorn is primarily responsible for backend storage/block level, and the interface between block devices and users is through the file system. (no ma…
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## Description
Some basic functionality:
- advising about removing an unused index.
- advising about adding an index that improves the query performance.
## Category
- Feature
- Perfo…
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Hi,
Here is were i'm reporting the FMax mesurments and progress.
For VexiiRiscv (set as toplevel, after some tunning) with :
- RV32IMACSU + 4\*4KB I$ + 4\*4KB D$ + D$ hardware prefetcher + st…
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Hi, thanks for your great work.
From [Instruction Data](https://github.com/magic-research/PLLaVA/blob/main/DATA.md), I notice that you provide [your processed version of annotations](https://huggin…
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http://imaginary.org/event/surferinvaders-live-performance-in-buenos-aires
edit: Bianca Violet
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您好,请问Hyper parameter tunning results给出的每个模型每一折的参数配置,对应了当前模型在该折的最优性能吗
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`with tvm.transform.PassContext(opt_level=3):
ex = relax.build(mod_deploy, args.target)`
args.target: “cuda”
pip install -I mlc_ai_nightly_cu121 -f https://mlc.ai/wheels
but,get errors…
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Hello,
Just wanted to share my results on finetuning Llama3.1-8B-Instruct (4bit bnb, training took 1h30 on 2xA100 80GB, 32 epochs). Many thanks for the scripts, they worked very well, and I hope th…
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1) update GAP
2) test different version SOAPs
3) add CACE to potential bank
4) add CN in CV
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Hi Author,
Thanks for sharing your excellent work. Is there any plan for releasing training code?