OvisOCR2 - ASHQ1-Remix

This is a GGUF quantized version of the original model.

📈 Release Benchmarks (wiki.test.raw, symmetric FA-auto reference)

Tier Size PPL KLD RMS Δp top-p
Fidelity-48pc 704 MiB 31.0673 0.0021 0.98% 97.4%
Precision-42pc 🥈 Second Choice 668 MiB 31.0809 0.0026 1.06% 97.1%
Quality-36pc ⭐ Recommended 531 MiB 32.0240 0.0155 2.68% 93.0%
Compact-33pc 487 MiB 32.7223 0.0306 3.90% 90.3%
Mini-30pc 474 MiB 32.8232 0.0352 4.17% 89.8%
Nano-27pc 457 MiB 33.1136 0.0648 5.95% 86.7%
Pico-24pc 442 MiB 34.7822 0.0775 6.33% 85.2%

ℹ️ About ASHQ1-Remix Suite

Activation-aware GGUF quantization whose every ratio, floor, and cap traces to a measured experiment. Plain-BF16-native first; AutoRound lineage supported with explicit saturation bounds. Full seven-tier ladder validated across six model families.

🔗 Link: https://huggingface.co/Soulfate24/AutoRound-ASHQ1-Remix_Double-Quantization_Suite

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GGUF
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qwen35
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