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README.md

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+license: apache-2.0
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+# LLM360 Research Suite: K2 Loss Spike 2
+During the first K2 training phase, we encountered two loss spikes. This repo contains 8 checkpoints that capture the training dynamics during the loss spikes.
+
+<img src="k2_spike_1.png" alt="k2 spike 1"/>
+
+# Purpose
+Loss spikes are still a relatively unknown phenomena. By making these spikes and associated training details available, we hope others use these artifacts to further the worlds knowledge on this topic.
+
+## All Checkpoints
+| Checkpoints      |  |
+| ----------- | ----------- |
+| [Checkpoint 186](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_186)     | [Checkpoint 194](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_194)       |
+| [Checkpoint 188](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_188)   | [Checkpoint 196](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_196)        |
+| [Checkpoint 190](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_190)   | [Checkpoint 198](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_198)        |
+| [Checkpoint 192](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_192)   | [Checkpoint 200](https://huggingface.co/LLM360/K2-Spike-2/tree/spike_ckpt_200)        |
+
+
+[to find all branches: git branch -a]
+
+## Loss Spike's on the LLM360 Evaluation Suite
+
+something here
+
+## About the LLM360 Research Suite
+The LLM360 Research Suite is a comprehensive set of large language model (LLM) artifacts from Amber, CrystalCoder, and K2 for academic and industry researchers to explore LLM training dynamics. Additional resources can be found at llm360.ai.
+
+