Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders Paper • 2607.25180 • Published 10 days ago • 1
view article Article Bekko Embedding: how small can a multilingual retrieval model be? hotchpotch • 9 days ago • 5
ModernBERT-TR Collection A 150M-parameter Turkish encoder family of base and downstream task models. • 20 items • Updated 18 days ago • 12
view article Article Welcome Inkling by Thinking Machines +3 burtenshaw, merve, pcuenq, ariG23498, andito • 23 days ago • 155
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Gemma 4 QAT Collection Gemma 4 QAT (Quantization-Aware Training) for 3x less memory use and near original accuracy. • 16 items • Updated 3 days ago • 118
jina-embeddings-v5-omni Collection Multimodal (text + image + video + audio) embedding models aligned with jina-embeddings-v5-text-*. Two sizes, four task variants each. • 27 items • Updated 11 days ago • 37
privacy-filter Collection OpenAI's privacy-filter fine0tuned models • 12 items • Updated 25 days ago • 12
Mistral Medium 3.5 Collection Our first flaship models handling instruction-following, reasoning, and coding in a single set of opened-weights. • 2 items • Updated Apr 29 • 21
gpt-oss-safeguard Collection gpt-oss-safeguard-120b and gpt-oss-safeguard-20b are safety reasoning models built-upon gpt-oss • 2 items • Updated Oct 29, 2025 • 73
Gemma 4 Collection Gemma 4 is Google's new model family including including E2B, E4B, 26B-A4B, and 31B. • 43 items • Updated 3 days ago • 252