Do Composed Image Retrieval Benchmarks Require Multimodal Composition?
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aryopgΒ
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kargaranamirΒ
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SamoedΒ
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kargaranamirΒ
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Evaluated 16 models!
inclusionAI/Ling-2.6-1T π
google/gemma-4-31B-it π
LiquidAI/LFM2-24B-A2B π₯
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https://primal.net/e/nevent1qqsz540lky0t5rrwqr9krg2c69qyv8af30mxcrd3a7mauzzhqn5twcq7ps20u
inclusionAI/Ling-2.6-1T π
google/gemma-4-31B-it π
LiquidAI/LFM2-24B-A2B π₯
More details:
https://primal.net/e/nevent1qqsz540lky0t5rrwqr9krg2c69qyv8af30mxcrd3a7mauzzhqn5twcq7ps20u
Pending Access Request to Join HF Blog Explorers
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#17 opened 3 months ago
by 
AINovice2005
aryopgΒ
authored a
paper about 2 months ago
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2892
Sharing how I built the LongCat-Video-Avatar 1.5 Space (+500k views on X) in one agent session. Gave a coding agent its own AI lab on ZeroGPU, framed the goal, walked away. It designed, deployed, tested against the live API, fixed, shipped.
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
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Post
140
https://dystopiabench.com/ has a 0.53 correlation to my leaderboard https://aha-leaderboard.shakespeare.wtf/
it is cool to see supporting leaderboards. 0.53 is not too high but still validates both works. my idea is alignment through 'beneficial knowledge for humans', yet still there is correlation!
it is cool to see supporting leaderboards. 0.53 is not too high but still validates both works. my idea is alignment through 'beneficial knowledge for humans', yet still there is correlation!
- 1 reply
AmirMohseniΒ
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AmirMohseniΒ
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merveΒ
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[Support] Community Articles
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#5 opened over 2 years ago
by 
victor
[Support] Community Articles
π₯π€ 2
106
#5 opened over 2 years ago
by victor
Post
142
expanding my small dataset using
- contemplation on text (for further CPT)
- q&a generation (for GRPO)
after doing GRPO, the successful ones go again with a SFT.
almost doubled my dataset. although the new ones are synthetic, they are from important sources and important matters. focusing on controversial claims more than anything else because these actually move models.
started fine tuning qwen 3.6. using vibe coding to play with LoRA adapters. i made lots of LoRAs for qwen 3.5 and now i can apply them to 3.6 except one tensor type. all of MLP matches to 3.6 and most of attentions match to 3.6. that will save me a lot of time. fine tune of 3.6 will probably appear faster, with a better alignment since the dataset is expanded.
started a truth db project where i will compare all the claims in the world with each other and give them a score. claims will fight with each other, supporting or weakening each other. the result hopefully will be very useful for better fine tuning LLMs. it will also automate my curation processes..
- contemplation on text (for further CPT)
- q&a generation (for GRPO)
after doing GRPO, the successful ones go again with a SFT.
almost doubled my dataset. although the new ones are synthetic, they are from important sources and important matters. focusing on controversial claims more than anything else because these actually move models.
started fine tuning qwen 3.6. using vibe coding to play with LoRA adapters. i made lots of LoRAs for qwen 3.5 and now i can apply them to 3.6 except one tensor type. all of MLP matches to 3.6 and most of attentions match to 3.6. that will save me a lot of time. fine tune of 3.6 will probably appear faster, with a better alignment since the dataset is expanded.
started a truth db project where i will compare all the claims in the world with each other and give them a score. claims will fight with each other, supporting or weakening each other. the result hopefully will be very useful for better fine tuning LLMs. it will also automate my curation processes..
Future of Agentic Models
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12
#18 opened 3 months ago
by 
MohamedRashad
π© Report: Spam
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#19 opened 3 months ago
by 
ccocks-deca
Future of Agentic Models
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12
#18 opened 3 months ago
by MohamedRashad