Large language models in the field of mental health support various model architectures and functional optimizations.
EmoLLM is a large-scale language model project focused on the field of mental health. It not only supports various popular model architectures (such as InternLM, Qwen, Baichuan, etc.), but also provides comprehensive support from pre-training to deployment. The project aims to provide strong support for mental health research and applications through natural language processing technology, including aspects such as sentiment analysis and dialogue generation.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
[
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"@id": "https://agentsignals.ai/agents/emollm",
"name": "EmoLLM",
"description": "EmoLLM is a large-scale language model project focused on the field of mental health. It not only supports various popular model architectures (such as InternLM, Qwen, Baichuan, etc.), but also provides comprehensive support from pre-training to deployment. The project aims to provide strong support for mental health research and applications through natural language processing technology, including aspects such as sentiment analysis and dialogue generation.",
"url": "https://agentsignals.ai/agents/emollm",
"applicationCategory": "研究",
"operatingSystem": "GitHub",
"sameAs": "https://github.com/SmartFlowAI/EmoLLM",
"installUrl": "https://github.com/SmartFlowAI/EmoLLM",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD",
"description": "免费",
"availability": "https://schema.org/InStock"
},
"featureList": [
"Supports multiple large language models",
"Provides full-process support from pre-training to deployment",
"Focuses on applications in the mental health field"
],
"datePublished": "2025-12-05T17:15:38.247162+00:00",
"dateModified": "2025-12-19T05:09:08.431801+00:00",
"publisher": {
"@type": "Organization",
"name": "Agent Signals",
"url": "https://agentsignals.ai"
}
},
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://agentsignals.ai"
},
{
"@type": "ListItem",
"position": 2,
"name": "Agents",
"item": "https://agentsignals.ai/agents"
},
{
"@type": "ListItem",
"position": 3,
"name": "EmoLLM",
"item": "https://agentsignals.ai/agents/emollm"
}
]
},
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is EmoLLM?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Large language models in the field of mental health support various model architectures and functional optimizations."
}
},
{
"@type": "Question",
"name": "What features does EmoLLM offer?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Supports multiple large language models, Provides full-process support from pre-training to deployment, Focuses on applications in the mental health field"
}
},
{
"@type": "Question",
"name": "What are the use cases for EmoLLM?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Mental health research, Sentiment analysis, Dialogue system development"
}
},
{
"@type": "Question",
"name": "What are the advantages of EmoLLM?",
"acceptedAnswer": {
"@type": "Answer",
"text": "支持多种模型架构,灵活性强, 专注于心理健康,应用场景明确, 提供完整的开发流程支持"
}
},
{
"@type": "Question",
"name": "What are the limitations of EmoLLM?",
"acceptedAnswer": {
"@type": "Answer",
"text": "可能需要较高的计算资源, 专业领域限制,不适用于通用任务"
}
}
]
}
]