Prometheus 2
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Prometheus 2 introduces 7B and 8x7B evaluation LLMs that achieve high correlations with human and proprietary judges by merging Mistral models trained on curated feedback and preference collections.
A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Prometheus 2 introduces 7B and 8x7B evaluation LLMs that achieve high correlations with human and proprietary judges by merging Mistral models trained on curated feedback and preference collections.
Liang Wang, Nan Yang, Xiaolong Huang, et al.
E5-Mistral-7B uses synthetic data from proprietary LLMs to fine-tune open-source decoder-only models for state-of-the-art text embeddings.
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Mistral AI introduces Magistral, a family of reasoning models (open-source 24B and enterprise versions) for domain-specific, transparent, and multilingual reasoning.
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A large language model built on Mistral Small, enhanced with SFT, RLVR, and inference optimization for Indian languages and reasoning tasks.
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Orca 3 fine-tunes Mistral-7B using AgentInstruct, a framework that generates synthetic prompts and responses from raw text and code seeds.
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H2O Danube 1.8B is a language model pre-trained on 1 trillion tokens using principles from LLaMA 2 and Mistral.
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Mistral 7B introduces grouped-query attention and sliding window attention to achieve faster inference and handle arbitrary-length sequences at reduced cost.