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README.md

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 # Intermediate Checkpoints Release
 
-For the first time among Korean-targeted LLMs, we’re releasing **intermediate checkpoints** from the Tri family—**0.5B**, **1.9B**, and **7B**—to advance research on LLM training dynamics.
+For the first time among Korean-targeted LLMs, we’re releasing **intermediate checkpoints** from the Tri family—**0.5B**, **1.9B**, and **7B**—to advance research on LLM training dynamics. We release checkpoints at regular step intervals— **≈20B tokens (0.5B), ≈40B (1.9B), and ≈160B (7B & 70B)** —enabling consistent analysis of training dynamics. Each step’s release is distinguished by its **branch name**.
 
-We release checkpoints at regular step intervals— **≈20B tokens (0.5B), ≈40B (1.9B), and ≈160B (7B & 70B)** —enabling consistent analysis of training dynamics.
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-You can grab the **Tri-7B** model here: [https://huggingface.co/trillionlabs/Tri-7B](https://huggingface.co/trillionlabs/Tri-7B?utm_source=chatgpt.com). 
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-You can grab the **Tri-70B** preview model here: [https://huggingface.co/trillionlabs/Tri-70B-preview-SFT](https://huggingface.co/trillionlabs/Tri-70B-preview-SFT).
+- You can grab the **Tri-7B** model here: [https://huggingface.co/trillionlabs/Tri-7B](https://huggingface.co/trillionlabs/Tri-7B?utm_source=chatgpt.com). 
+- You can grab the **Tri-70B** preview model here: [https://huggingface.co/trillionlabs/Tri-70B-preview-SFT](https://huggingface.co/trillionlabs/Tri-70B-preview-SFT).
 
 We’re also sharing the **0.5B** and **1.9B** runs—originally produced for system bring-up but now available as valuable artifacts for analyzing training behavior at smaller scales.