Instructions to use qgfvadfuvads/Q-Prefer-D2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use qgfvadfuvads/Q-Prefer-D2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-VL-4B-Instruct") model = PeftModel.from_pretrained(base_model, "qgfvadfuvads/Q-Prefer-D2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "validation_date": "2026-08-12", | |
| "method": "fresh CUDA forward on every local video with release QPreferScorer", | |
| "environment": { | |
| "gpu": "NVIDIA RTX 6000 Ada Generation", | |
| "torch": "2.8.0+cu128", | |
| "transformers": "5.3.0", | |
| "peft": "0.18.1", | |
| "qwen_vl_utils": "0.0.14", | |
| "decord": "0.6.0" | |
| }, | |
| "fresh_forward_workload": { | |
| "qprefer_bench_t2v_pairs": 275, | |
| "qprefer_bench_i2v_pairs": 274, | |
| "qprefer_bench_near_pairs": 294, | |
| "human_tie_pairs": 210, | |
| "human_forced_choice_pairs": 300, | |
| "videogen_rewardbench_unique_videos": 4691, | |
| "videoscore_bench_v2_videos": 500 | |
| }, | |
| "all_runs_zero_errors": true, | |
| "all_pair_margins_and_ood_raw_scores_exact_against_legacy_d2": true, | |
| "paper_number_checks": { | |
| "main_macro_with_ties": { | |
| "observed": 0.539625, | |
| "paper": 0.54, | |
| "passed": true | |
| }, | |
| "main_macro_without_ties": { | |
| "observed": 0.73095, | |
| "paper": 0.731, | |
| "passed": true | |
| }, | |
| "near_vq_with_ties": { | |
| "observed": 0.6397, | |
| "paper": 0.64, | |
| "passed": true | |
| }, | |
| "near_vq_without_ties": { | |
| "observed": 0.66, | |
| "paper": 0.66, | |
| "passed": true | |
| }, | |
| "near_ta_with_ties": { | |
| "observed": 0.6775, | |
| "paper": 0.677, | |
| "passed": true | |
| }, | |
| "near_ta_without_ties": { | |
| "observed": 0.6196, | |
| "paper": 0.62, | |
| "passed": true | |
| }, | |
| "forced_human_macro": { | |
| "observed": 0.615, | |
| "paper": 0.615, | |
| "passed": true | |
| }, | |
| "tie_human_macro_with_ties": { | |
| "observed": 0.5833, | |
| "paper": 0.583, | |
| "passed": true | |
| }, | |
| "tie_human_macro_without_ties": { | |
| "observed": 0.6327, | |
| "paper": 0.633, | |
| "passed": true | |
| }, | |
| "videogen_vq_with_ties_percent": { | |
| "observed": 47.45581358484584, | |
| "paper": 47.5, | |
| "passed": true | |
| }, | |
| "videogen_vq_without_ties_percent": { | |
| "observed": 63.66993217784477, | |
| "paper": 63.7, | |
| "passed": true | |
| }, | |
| "videogen_ta_with_ties_percent": { | |
| "observed": 43.12039312039312, | |
| "paper": 43.1, | |
| "passed": true | |
| }, | |
| "videogen_ta_without_ties_percent": { | |
| "observed": 58.307865529998395, | |
| "paper": 58.3, | |
| "passed": true | |
| }, | |
| "videogen_overall_with_ties_percent": { | |
| "observed": 51.480204494114844, | |
| "paper": 51.5, | |
| "passed": true | |
| }, | |
| "videogen_overall_without_ties_percent": { | |
| "observed": 61.86598085440777, | |
| "paper": 61.9, | |
| "passed": true | |
| }, | |
| "vs2_vq_plcc_percent": { | |
| "observed": 49.093721381630886, | |
| "paper": 49.1, | |
| "passed": true | |
| }, | |
| "vs2_ta_plcc_percent": { | |
| "observed": 24.09226069401914, | |
| "paper": 24.1, | |
| "passed": true | |
| }, | |
| "vs2_average_plcc_percent": { | |
| "observed": 36.592991037825016, | |
| "paper": 36.6, | |
| "passed": true | |
| }, | |
| "main_t2v_vq_with": { | |
| "observed": 0.5933, | |
| "paper": 0.593, | |
| "passed": true | |
| }, | |
| "main_t2v_vq_without": { | |
| "observed": 0.7796, | |
| "paper": 0.78, | |
| "passed": true | |
| }, | |
| "main_t2v_ta_with": { | |
| "observed": 0.4647, | |
| "paper": 0.465, | |
| "passed": true | |
| }, | |
| "main_t2v_ta_without": { | |
| "observed": 0.625, | |
| "paper": 0.625, | |
| "passed": true | |
| }, | |
| "main_i2v_vq_with": { | |
| "observed": 0.5758, | |
| "paper": 0.576, | |
| "passed": true | |
| }, | |
| "main_i2v_vq_without": { | |
| "observed": 0.7791, | |
| "paper": 0.779, | |
| "passed": true | |
| }, | |
| "main_i2v_ta_with": { | |
| "observed": 0.5247, | |
| "paper": 0.525, | |
| "passed": true | |
| }, | |
| "main_i2v_ta_without": { | |
| "observed": 0.7401, | |
| "paper": 0.74, | |
| "passed": true | |
| }, | |
| "near_macro_with": { | |
| "observed": 0.6586, | |
| "paper": 0.659, | |
| "passed": true | |
| }, | |
| "near_macro_without": { | |
| "observed": 0.6398, | |
| "paper": 0.64, | |
| "passed": true | |
| }, | |
| "human_forced_t2v_vq": { | |
| "observed": 0.67, | |
| "paper": 0.67, | |
| "passed": true | |
| }, | |
| "human_forced_t2v_ta": { | |
| "observed": 0.63, | |
| "paper": 0.63, | |
| "passed": true | |
| }, | |
| "human_forced_i2v_vq": { | |
| "observed": 0.74, | |
| "paper": 0.74, | |
| "passed": true | |
| }, | |
| "human_forced_i2v_ta": { | |
| "observed": 0.68, | |
| "paper": 0.68, | |
| "passed": true | |
| }, | |
| "human_forced_near_vq": { | |
| "observed": 0.44, | |
| "paper": 0.44, | |
| "passed": true | |
| }, | |
| "human_forced_near_ta": { | |
| "observed": 0.53, | |
| "paper": 0.53, | |
| "passed": true | |
| }, | |
| "human_forced_all_vq": { | |
| "observed": 0.6167, | |
| "paper": 0.617, | |
| "passed": true | |
| }, | |
| "human_forced_all_ta": { | |
| "observed": 0.6133, | |
| "paper": 0.613, | |
| "passed": true | |
| }, | |
| "human_tie_t2v_vq": { | |
| "observed": 0.6857, | |
| "paper": 0.686, | |
| "passed": true | |
| }, | |
| "human_tie_t2v_ta": { | |
| "observed": 0.4857, | |
| "paper": 0.486, | |
| "passed": true | |
| }, | |
| "human_tie_i2v_vq": { | |
| "observed": 0.7286, | |
| "paper": 0.729, | |
| "passed": true | |
| }, | |
| "human_tie_i2v_ta": { | |
| "observed": 0.5571, | |
| "paper": 0.557, | |
| "passed": true | |
| }, | |
| "human_tie_near_vq": { | |
| "observed": 0.4286, | |
| "paper": 0.429, | |
| "passed": true | |
| }, | |
| "human_tie_near_ta": { | |
| "observed": 0.6143, | |
| "paper": 0.614, | |
| "passed": true | |
| } | |
| } | |
| } | |