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README.md
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Coder's architecture deliberately mirrors the same core recipe as the Conversate line — RoPE, SwiGLU, RMSNorm, tied embeddings, Muon-optimized body weights. The point of keeping the recipe constant across both lines is to isolate what changes with domain-specific data and a narrower target distribution, not to introduce a second set of untested architectural choices at the same time.
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---
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## Training
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Coder's architecture deliberately mirrors the same core recipe as the Conversate line — RoPE, SwiGLU, RMSNorm, tied embeddings, Muon-optimized body weights. The point of keeping the recipe constant across both lines is to isolate what changes with domain-specific data and a narrower target distribution, not to introduce a second set of untested architectural choices at the same time.
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<a href="https://hfviewer.com/IvmeLabs/Ivme-Coder-v1?utm_source=huggingface&utm_medium=embedded_model_card&utm_campaign=IvmeLabs__Ivme-Coder-v1_card&utm_content=embedded_card_open_viewer&from=embedded-model-card" target="_blank" rel="noopener">
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<img
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src="https://hfviewer.com/api/card.svg?source=IvmeLabs%2FIvme-Coder-v1&granularity=auto&v=20260516-title-pills-card"
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alt="Architecture graph for IvmeLabs/Ivme-Coder-v1. Open in hfviewer"
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width="100%"
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/>
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</a>
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---
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## Training
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