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# LLM agent flow text classification
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This model identifies common LLM agent events and patterns within the conversation flow.
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It is ONNX quantized and is a fined-tune of [MiniLMv2-L6-H384](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
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The base model can be found [here](https://huggingface.co/minuva/MiniLMv2-agentflow-v2)
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# LLM agent flow text classification
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This model identifies common LLM agent events and patterns within the conversation flow.
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Such events include an apology, where the LLM acknowledges a mistake.
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The flow labels can serve as foundational elements for sophisticated LLM analytics.
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It is ONNX quantized and is a fined-tune of [MiniLMv2-L6-H384](https://huggingface.co/nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large).
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The base model can be found [here](https://huggingface.co/minuva/MiniLMv2-agentflow-v2)
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