Async0x42
async0x42
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Has OpenGVLab Lumina Outperformed OpenAI’s Model?
We’ve just released the results from a large-scale human evaluation (400k annotations) of OpenGVLab’s newest text-to-image model, Lumina. Surprisingly, Lumina outperforms OpenAI’s DALL-E 3 in terms of alignment, although it ranks #6 in our overall human preference benchmark.
To support further development in text-to-image models, we’re making our entire human-annotated dataset publicly available. If you’re working on model improvements and need high-quality data, feel free to explore.
We welcome your feedback and look forward to any insights you might share!
https://huggingface.co/datasets/Rapidata/OpenGVLab_Lumina_t2i_human_preference
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async0x42/Arcee-Blitz-exl2_4.65bpw
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async0x42/Arcee-Blitz-exl2_4.65bpw
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async0x42's activity
Can you produce a quantized 2.4bpw model of this model?
3
#1 opened 3 months ago
by
xldistance
Added to the UGI leaderboard
1
#1 opened 4 months ago
by
async0x42
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So far, very good model
#1 opened 6 months ago
by
async0x42
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Garbled output on this model
1
#3 opened 6 months ago
by
async0x42
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Getting run-on sentences at 6k context
4
#1 opened 7 months ago
by
St33lMouse
Thanks, this takes more VRAM, is a 3.5bpw possible?
#1 opened 9 months ago
by
async0x42
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Thanks for the 4bpw!
#1 opened 9 months ago
by
async0x42
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Thanks for the exl2! Can you do 4bpw?
#1 opened 9 months ago
by
async0x42
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