Hermes 4Nous Research
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About
Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fineβtuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational modelsβ understanding, accuracy, and domain adaptation. For example, their open source customerβsupport dataset features ~27,000 questionβanswer pairs (β3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 languageβgeneration tags, all anonymized to comply with privacy, bias, and antiβhallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.
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About
Hermes 4 is the latest evolution in Nous Researchβs line of neutrally aligned, steerable foundational models, featuring novel hybrid reasoners that can dynamically shift between expressive, creative responses and efficient, standard replies based on user prompts. The model is designed to respond to system and user instructions, rather than adhering to any corporate ethics framework, producing interactions that feel more humanistic, less lecturing or sycophantic, and encouraging roleplay and creativity. By incorporating a special tag in prompts, users can trigger deeper, internally token-intensive reasoning when tackling complex problems, while retaining prompt efficiency when such depth isn't required. Trained on a dataset 50 times larger than that of Hermes 3, much of which was synthetically generated using Atropos, Hermes 4 shows significant performance improvements.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
NLP engineers and AI teams seeking a solution offering privacyβsafe datasets that combine synthetic scale with curated quality
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Audience
Advanced users and AI developers in need of a tool to balance deep inference capabilities with customizable, context-aware conversational workflows
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBitext
Founded: 2008
United States
www.bitext.com/training-datasets/
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Company InformationNous Research
Founded: 2023
United States
hermes4.nousresearch.com
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