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witcheer
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rtx-5090-benchmarks

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benchmark
inference
llm
nvidia
rtx-5090
llama-cpp
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pandas
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rtx-5090-benchmarks

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  1. Upload reports/steering-claimed-vs-measured.png with huggingface_hub

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  1. Upload reports/ornith-1-0-35b-anchor.md with huggingface_hub

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  12. Upload reports/omp-harness-as-variable.md with huggingface_hub

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

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  2. agentworld: claim-vs-measured + solve-set reshuffle chart

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  3. agentworld: LWM zero-FT transfer null (flat synthetic, -2 real SWE)

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

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  5. fp4: 2-panel chart (vLLM bars + QuTLASS GEMM-vs-decode divergence)

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  6. fp4: complete with QuTLASS MXFP4 Tier-2 (real at the GEMM, lost at the token)

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  2. Upload reports/fp4-consumer-blackwell.png with huggingface_hub

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  2. Upload reports/qwopus-coder-compat-recovery.png with huggingface_hub

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  3. Upload reports/qwopus-coder-compat.md with huggingface_hub

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  2. Upload reports/tts-head-to-head.md with huggingface_hub

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  3. Upload reports/swebench-anchor.md with huggingface_hub

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

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