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Carl Brenner

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updated a collection 5 days ago
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reacted to tomaarsen's post with 🔥 6 days ago
That didn't take long! Nomic AI has finetuned the new ModernBERT-base encoder model into a strong embedding model for search, classification, clustering and more! Details: 🤖 Based on ModernBERT-base with 149M parameters. 📊 Outperforms both nomic-embed-text-v1 and nomic-embed-text-v1.5 on MTEB! 🏎️ Immediate FA2 and unpacking support for super efficient inference. 🪆 Trained with Matryoshka support, i.e. 2 valid output dimensionalities: 768 and 256. ➡️ Maximum sequence length of 8192 tokens! 2️⃣ Trained in 2 stages: unsupervised contrastive data -> high quality labeled datasets. ➕ Integrated in Sentence Transformers, Transformers, LangChain, LlamaIndex, Haystack, etc. 🏛️ Apache 2.0 licensed: fully commercially permissible Try it out here: https://huggingface.co/nomic-ai/modernbert-embed-base Very nice work by Zach Nussbaum and colleagues at Nomic AI.
reacted to tomaarsen's post with ❤️ 6 days ago
That didn't take long! Nomic AI has finetuned the new ModernBERT-base encoder model into a strong embedding model for search, classification, clustering and more! Details: 🤖 Based on ModernBERT-base with 149M parameters. 📊 Outperforms both nomic-embed-text-v1 and nomic-embed-text-v1.5 on MTEB! 🏎️ Immediate FA2 and unpacking support for super efficient inference. 🪆 Trained with Matryoshka support, i.e. 2 valid output dimensionalities: 768 and 256. ➡️ Maximum sequence length of 8192 tokens! 2️⃣ Trained in 2 stages: unsupervised contrastive data -> high quality labeled datasets. ➕ Integrated in Sentence Transformers, Transformers, LangChain, LlamaIndex, Haystack, etc. 🏛️ Apache 2.0 licensed: fully commercially permissible Try it out here: https://huggingface.co/nomic-ai/modernbert-embed-base Very nice work by Zach Nussbaum and colleagues at Nomic AI.
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