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📚 [Tech Report](https://www.llm360.ai/reports/K2_V2_report.pdf) - 📝 [Training Code](https://github.com/llm360/k2v2_train) - 🏢 [Evaluation Code](https://github.com/llm360/eval360)
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🗂️ [Pretraining Data: TxT360](https://huggingface.co/datasets/LLM360/TxT360) - 🗂️ [Midtraining Data: TxT360-Midas](https://huggingface.co/datasets/LLM360/TxT360-Midas) - 🗂️ [SFT Data: TxT360-3efforts](https://huggingface.co/datasets/LLM360/TxT360-
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K2-V2 is our most capable fully open model to date, and one of the strongest open-weight models in its class. It uses a 70B-parameter dense transformer architecture and represents the latest advancement in the LLM360 model family.
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📚 [Tech Report](https://www.llm360.ai/reports/K2_V2_report.pdf) - 📝 [Training Code](https://github.com/llm360/k2v2_train) - 🏢 [Evaluation Code](https://github.com/llm360/eval360)
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🗂️ [Pretraining Data: TxT360](https://huggingface.co/datasets/LLM360/TxT360) - 🗂️ [Midtraining Data: TxT360-Midas](https://huggingface.co/datasets/LLM360/TxT360-Midas) - 🗂️ [SFT Data: TxT360-3efforts](https://huggingface.co/datasets/LLM360/TxT360-3efforts)
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K2-V2 is our most capable fully open model to date, and one of the strongest open-weight models in its class. It uses a 70B-parameter dense transformer architecture and represents the latest advancement in the LLM360 model family.
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