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In a Training Loop 🔄
2140.8
TFLOPS
1
7
105
Eyad Gomaa
eyad-silx
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Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs
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Organizations
models
12
Sort: Recently updated
eyad-silx/400-X
71M
•
Updated
Sep 15, 2025
eyad-silx/400
Updated
Sep 15, 2025
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8
eyad-silx/QuasarV4
0.6B
•
Updated
Sep 5, 2025
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3
eyad-silx/quasar_lfm2
Updated
Jul 30, 2025
eyad-silx/tars2
Updated
Jul 9, 2025
•
1
eyad-silx/SI-IMAGE-2
Updated
Jul 5, 2025
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5
eyad-silx/model
Updated
Jun 25, 2025
eyad-silx/Quasar-Qwen
Text Generation
•
2B
•
Updated
Jun 17, 2025
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5
eyad-silx/qwen3-0.6b-to-1.7b-expanded-v2
Text Generation
•
2B
•
Updated
Jun 13, 2025
•
2
eyad-silx/Quasar-Tiny
Updated
May 24, 2025
•
13
View 12 models
datasets
31
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eyad-silx/Data-Public
Viewer
•
Updated
9 days ago
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30
•
56
•
1
eyad-silx/Quasar-Adapt
Viewer
•
Updated
21 days ago
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4
•
45
eyad-silx/Adapt
Viewer
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Updated
23 days ago
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2
•
29
eyad-silx/Quasar-Bench
Viewer
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Updated
Dec 14, 2025
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50
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5
eyad-silx/SYNTHDATA
Updated
Dec 7, 2025
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1
eyad-silx/QuasarX
Updated
Sep 25, 2025
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3
eyad-silx/hfa
Viewer
•
Updated
Sep 6, 2025
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1
•
9
eyad-silx/Pre-Training
Updated
Sep 3, 2025
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3
eyad-silx/si-cli
Viewer
•
Updated
Sep 2, 2025
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5
•
5
eyad-silx/scaling
Viewer
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Updated
Aug 28, 2025
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1
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5
View 31 datasets