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1.
▲
Ask HN: How to Discover Deep Learning Research Labs?
1 point
bluu00
5 years ago
discuss
2.
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How attention sinks keep language models stable
(hanlab.mit.edu)
219 points
pr337h4m
10 months ago
36 comments
3.
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SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup
(hanlab.mit.edu)
179 points
lmxyy
2 years ago
65 comments
4.
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SVDQuant+NVFP4: 4× Smaller, 3× Faster FLUX with 16-bit Quality on Blackwell GPUs
(hanlab.mit.edu)
52 points
lmxyy
a year ago
10 comments
5.
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Radial Attention: O(nlogn) Attention for Long Video Generation with 2-4× Speedup
(hanlab.mit.edu)
6 points
lmxyy
a year ago
1 comment
6.
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RTX 5090 Workstation Configuration Journey
(hanlab.mit.edu)
5 points
lmxyy
a year ago
1 comment
7.
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TinyChat: Large Language Model on the Edge
(hanlab.mit.edu)
2 points
enduku
2 years ago
1 comment
8.
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HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
(hanlab.mit.edu)
2 points
lnyan
2 years ago
discuss