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rtx-5090-benchmarks

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benchmark
inference
llm
nvidia
rtx-5090
llama-cpp
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rtx-5090-benchmarks / README.md

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  1. Field Reports: add Qwen-AgentWorld LWM transfer null (top row)

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  2. Field Reports: complete fp4 row with QuTLASS MXFP4 Tier-2 finding

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  1. Field Reports: add GLM-5.2 autopsy (clever MLA+DSA, datacenter-only by arithmetic)

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  2. Field Reports: add Qwen3.6-27B pi-tune (real-trace SFT improves real SWE; provenance > label)

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  3. Field Reports: add Qwable-3.6-27b (synthetic-flat, real -7 — anchor caught it)

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  1. Add Nemotron-3-Nano-30B-A3B to think-off leaderboard + note format-agnostic HumanEval fix

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  2. Update dataset card: split quality table by think mode + corrected HumanEval (all models) + add Gemma 4 12B

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  1. Add gpt-oss-120B + REAP; withhold pre-fix HumanEval (reasoning-aware harness)

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  1. complete 5-model quality leaderboard

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  2. add Qwen3.6-35B-A3B to quality table

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  3. add Qwen3.6-27B Q6_K to quality table

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