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Extend a 4K-context 7B to 1M tokens: RoPE scaling, the data recipe, eval, and the inference math.

Going 4K to 1M is not one trick. It is RoPE rescaling chosen by frequency band, a long-doc continued-pretrain mix, needle evals that actually catch failures, and KV math that forces ring attention.

Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.

Going 4K to 1M is not one trick. It is RoPE rescaling chosen by frequency band, a long-doc continued-pretrain mix, needle evals that actually catch failures, and KV math that forces ring attention.

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Next in this trackPlan a 7B pretrain from scratch on 64 H100s in 30 days, end to end.PremiumNext in this trackCapacity-plan 10B 768-dim embeddings: HNSW vs IVF-PQ storage, index, and RAM for sub-100ms.PremiumPopular right nowWalk me through what actually happens when an LLM generates a response.Free
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