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Milena

DjMel

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liked a model 8 days ago

intfloat/e5-base-v2

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intfloat/e5-large-v2

liked a model 16 days ago

teknium/OpenHermes-2.5-Mistral-7B

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DjMel's activity

liked 2 models 8 days ago

intfloat/e5-base-v2

intfloat/e5-large-v2

liked a model 16 days ago

teknium/OpenHermes-2.5-Mistral-7B

Text Generation • Updated Feb 19, 2024 • 87.1k • • 830

liked a Space 16 days ago

The Essential AI Toolkit

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A curated collection of AI tools for journalists & creators

upvoted 3 papers 16 days ago

Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper • 2502.16894 • Published 17 days ago • 27

Slamming: Training a Speech Language Model on One GPU in a Day

Paper • 2502.15814 • Published 22 days ago • 66

MMTEB: Massive Multilingual Text Embedding Benchmark

Paper • 2502.13595 • Published 22 days ago • 32

New activity in DjMel/oz-eval 5 months ago

[bot] Conversion to Parquet

#2 opened 9 months ago by

parquet-converter

Oz Eval visual representation

#8 opened 5 months ago by

datatab

New activity in datatab/serbian-llm-benchmark 5 months ago

Aligning with oz-eval benchmark

#2 opened 5 months ago by

DjMel

reacted to alielfilali01's post with 👍 5 months ago

Post

2586

Don't you think we should add a tag "Evaluation" for datasets that are meant to be benchmarks and not for training ?

At least, when someone is collecting a group of datasets from an organization or let's say the whole hub can filter based on that tag and avoid somehow contaminating their "training" data.