Bekko Embedding: Parameter-Efficient Multilingual Retrieval with Ultra-Compact Encoders Paper • 2607.25180 • Published 15 days ago • 2
view article Article Bekko Embedding: how small can a multilingual retrieval model be? hotchpotch • 14 days ago • 6
ModernBERT-TR Collection A 150M-parameter Turkish encoder family of base and downstream task models. • 20 items • Updated 23 days ago • 12
view article Article Welcome Inkling by Thinking Machines +3 burtenshaw, merve, pcuenq, ariG23498, andito • 28 days ago • 162
view article Article Harness, Scaffold, and the AI Agent Terms Worth Getting Right sergiopaniego, ariG23498 • May 25 • 137
view article Article Agentic Resource Discovery: Let agents search burtenshaw, evalstate • Jun 17 • 21
Gemma 4 QAT Collection Gemma 4 QAT (Quantization-Aware Training) for 3x less memory use and near original accuracy. • 16 items • Updated 1 day 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 16 days ago • 37
privacy-filter Collection OpenAI's privacy-filter fine0tuned models • 12 items • Updated 30 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 • 74
Gemma 4 Collection Gemma 4 is Google's new model family including including E2B, E4B, 26B-A4B, and 31B. • 43 items • Updated 1 day ago • 255