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README.md
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- [OpenLM-Chat 7B](https://huggingface.co/OLMResearch/olm-chat-7b): With 7 billion parameters, this model offers superior performance in complex conversational AI, designed for nuanced and intricate dialogue scenarios.
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- [OpenLM-Score](https://huggingface.co/OLMResearch/olm-score-7b): A specialized evaluation model used in decentralized applications, such as f(A.I.)r Launch, ensuring fair assessment and transparent processes.
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#
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OLM's research encompasses ongoing community-driven governance proposals aimed at enhancing the capabilities of decentralized AI. Key proposals include:
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- [R&D of OLM Instruction Fine-Tuning Models](https://snapshot.org/#/olm.eth/proposal/0x74a697d9c2d90f9fd6484095a74d098c3923a84751d93b3b92dcc6ceb387bcc5): fine-tune OpenLM model with supervised instruction-tuning from human feedback (RLHF).
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- [OpenLM-Chat 7B](https://huggingface.co/OLMResearch/olm-chat-7b): With 7 billion parameters, this model offers superior performance in complex conversational AI, designed for nuanced and intricate dialogue scenarios.
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- [OpenLM-Score](https://huggingface.co/OLMResearch/olm-score-7b): A specialized evaluation model used in decentralized applications, such as f(A.I.)r Launch, ensuring fair assessment and transparent processes.
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# Researches
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OLM's research encompasses ongoing community-driven governance proposals aimed at enhancing the capabilities of decentralized AI. Key proposals include:
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- [R&D of OLM Instruction Fine-Tuning Models](https://snapshot.org/#/olm.eth/proposal/0x74a697d9c2d90f9fd6484095a74d098c3923a84751d93b3b92dcc6ceb387bcc5): fine-tune OpenLM model with supervised instruction-tuning from human feedback (RLHF).
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