ConceptCountry/concept-rv32im-27b

AI model by ConceptCountry

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Qwen Concept 27B with an exact RV32IM processor compiled into eleven additional transformer layers, placed in front of the host model. The machine's memory is the Gated DeltaNet recurrent state: 256 KB of code ROM, 128 KB of rodata and 32 KB of RAM live in a linear-attention cache. The host model calls it through its own native tool-call syntax, and no tool runs outside the weights. A port of Qwenputer by Divyansh Agrawal (code MIT, weights Apache-2.0) from Qwen3.5-4B onto a 27B hybrid-attention model. Paper, artifacts and the code that generates every number: Reproduction repository: The paper's results were measured on the text-only merge. This release is the vision+MTP build: it keeps the vision tower (333 tensors) and the MTP head (15), and its 154 machine-layer tensors are byte-identical to the measured text-only build. The only difference between the two is that 129 RMSNorm gains are stored float32 here…

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  1. Concept RV32IM 27B
  2. What was measured on which weights
  3. Formats
  4. Also available
  5. Status
  6. License

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ConceptCountry/concept-rv32im-27b is a task-unspecified model repository published by ConceptCountry on Hugging Face. A library was not reported.

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License
apache-2.0
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Created
2026-11-12T06:38:10.000Z
Last modified
2026-11-12T06:38:11.000Z

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Reported base models: ConceptCountry/qwen-concept-27b

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