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Asofwar
Strata-Turbo
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Qwen3.6-35B-A3B / Ornith-1.5 (qwen35moe) on 0.1.43.1, control-vector decode fix
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Qwen3.6-35B-A3B / Ornith-1.5 (qwen35moe) on 0.1.43.1, control-vector decode fix
#1
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Commits on Oct 7, 2026
Qwen3.6-35B-A3B and Ornith-1.5-35B-A3B (qwen35moe): a second, smaller model for 8-12 GB cards
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Merge upstream/main (0.1.40.2) into qwen36-35b-support
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Commits on Oct 8, 2026
Merge upstream/main (0.1.41) into qwen36-35b-support
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qwen35moe: 16-bit K/V at 8K, and the server below sm_75
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qwen35moe: --kv-resident past the resident cells (KV streaming with dense attention)
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setup: KV streaming for the 35B-A3B models: needed below 9 GB free from 128K, asked otherwise
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Merge upstream/main (0.1.42) into qwen36-35b-support
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qwen35moe: dense prompt attention, 8 queries per block
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Commits on Oct 11, 2026
serve: preserve_thinking on both APIs, from a request, the Chat settings or the config
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setup: images for Qwen3.6 and Ornith
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Merge upstream/main (0.1.43) into qwen36-35b-support
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Commits on Oct 13, 2026
Merge aflin/qwen36-35b-support (Qwen3.6-35B-A3B and Ornith-1.5) into main 0.1.43.1
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qwen35moe: apply a control vector in the decode path as a plain add (one residual stream)
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qwen35moe: fix the tail-skip row width, decode-path speedups for dense attention and the 256 x 8 router
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router_top10: the fast router on CUDA too, with its bitwise parity test
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qsa_decode_attn: opt-in split-K over a fixed partition count (STRATA_ATTN_SPLITS)
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bench: STRATA_ATTN_SPLITS=256 and the gbuzhf MTPv2 Q8_0 draft layer on an RTX 5080 (Ornith 1.5 IQ4_XS, 262K context)
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