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exp: add Gemma RNGD producer and validate 128/2K GPU continuation - #224
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This was referenced Oct 23, 2026
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Background
The four-model matrix lacked a Gemma RNGD producer. Qwen/Llama equations omit Gemma's offset RMS weights, four residual-path norms, GELU, scaled embeddings, and alternating local/global RoPE and attention. This adds a research producer preserving those semantics across all26layers.
Changes
Verification
Baseline
a754c26; implementationf271dcd; final evidence90e4a7d. One isolated RNGD, Furiosa2026.4 fusion4/Mesh2,128GiB host-memory limit,4requested/16limited CPUs. GPU A10080GB. Gemma checkpoint5b11413a10db4e486ef16a20101fd028f8f2499c; source and checkpoint hashes in evidence223/summary.json. Embeddings/final norm/head run on CPU; transformer layers on RNGD.test_kv_cache_generation_matches_hf[1]and[2]DynamicCache/AOTAutograd failures, reproduced on parent in exp: enable partitioned KONI 2K/8K prefill and GPU/ATOM handoff #222. Scoped Ruff/diff checks pass.Compatibility and limits
Experimental full-prefix producer; no production engine/SDK defaults changed. Fixed output counts ignore EOS and do not establish broad chat quality or numerical identity.8K and experimental Gemma ATOM hybrid-state import follow-up is now in #226, including correction of an invalid native global-attention baseline. Production HTTP/cache/cancellation, genuine compute/transfer overlap and performance optimization remain open. The2K latency requires profiling; no performance-parity claim.
Related Issue
Related to #223 and #201. Stacked on #222 (
exp/221-koni-parts).Generated with Codex; maintainer review and merge required.