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* fix: add AutoRound format detection to prevent misclassification as GGUF - Add ModelFormat::Autoround enum variant in models.rs - Update is_prequantized() to include AutoRound - Fix bit-per-parameter calculation for AutoRound-4bit - Update scrape_hf_models.py to detect auto-round quant_method - Correct 3 misclassified AutoRound models in hf_models.json - Add AutoRound-4bit to SUPPORTED_QUANTS and parse_quant() in plan.rs - Update pre-quantization comments in fit.rs - Update test_model_format_prequantized() assertion Fixes #526 * style: apply cargo fmt formatting * ci: use npx for web build/test steps to fix Windows PATH issue * fix: add AutoRound-8bit to quant metrics in models.rs Add explicit entries for AutoRound-8bit in quant_speed_multiplier, quant_bytes_per_param, and quant_quality_penalty. Without these, an 8-bit AutoRound model would incorrectly fall through to the 4-bit defaults (0.5 bpp, quality penalty -5.0). |
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| .. | ||
| install-openclaw-skill.sh | ||
| scrape_benchmarks.py | ||
| scrape_docker_models.py | ||
| scrape_hf_models.py | ||
| test_api.py | ||
| update_models.sh | ||
| verify_models.py | ||