InnomiumInsights
The engineering record behind the releases.
Model updates, benchmarks, architecture decisions, and Arena notes — shared across Agency, Arena, and Compute.
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3 insights matching filters
llm
When Long Context Is the Wrong Tool
2M-token models are not a default architecture. Here is when retrieval, smaller windows, or a different product shape beat Continuum-style long context.
Innomium LLM TeamJuly 14, 2026llm
Introducing Continuum1-9B
A fully linear 8.6B foundation model with 2M native context — hybrid GLA + Gated DeltaNet, open weights, and production kernels on Hugging Face.
Innomium LLM TeamMarch 1, 2026llm
Why Linear Attention for 2M Context
Quadratic attention does not scale to million-token workloads. Continuum's linear layers keep latency predictable for production pipelines.
Innomium LLM TeamFebruary 20, 2026
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