Instructions to use HuggingSelf/test0519 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Bagel
How to use HuggingSelf/test0519 with Bagel:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update retained UniCross checkpoint metadata n12_l40t2i_qdw_tv_i2t002
Browse files
checkpoints/n12_l40t2i_qdw_tv_i2t002/UNICROSS_CHECKPOINT_CARD.md
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# n12_l40t2i_qdw_tv_i2t002
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- Kind: `merged_candidate`
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- Source path at upload: `/scratch/group/p.nairr260234.000/unicross/model_cache/
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- HF path: `HuggingSelf/test0519:checkpoints/n12_l40t2i_qdw_tv_i2t002`
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- Metrics: MMMU=0.533,
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- Notes:
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Generated by `scripts/local/upload_retained_n12_l40t2i_qdw_tv_i2t002_hf.py`.
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# n12_l40t2i_qdw_tv_i2t002
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- Kind: `merged_candidate`
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- Source path at upload: `/scratch/group/p.nairr260234.000/unicross/model_cache/old_protocol_search_20260731_pair_merged/n12_l40t2i_qdw_tv_i2t002`
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- HF path: `HuggingSelf/test0519:checkpoints/n12_l40t2i_qdw_tv_i2t002`
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- Metrics: Direct-GEU=0.4000, MMMU=0.533, MathVista=73.8, MME-P=1688.037015, MMStar=70.133333, MMBench-EN=82.75; 512 profile: Unified=0.813050368, WISE=0.4348, GenEval=0.74887, DPG=84.866152, UEval=0.315979
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- Notes: Final checkpoint adopted after the finite search on 2026-08-12. Task-vector merge of v2_semantic_ground_implicit_t2i + qv3_i2t_top4k_detailwrong_lr18e5_s600_step0599 with t2i_weight=1.0 and i2t_weight=0.02.
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- EMA SHA256: `16eed14b3d372219dbf5efe38c9cb4500d072676a892a2cdbaacf4f3c38c226f`
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- Git handoff: `docs/unicross-status-20260829.md`
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Generated by `scripts/local/upload_retained_n12_l40t2i_qdw_tv_i2t002_hf.py`.
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checkpoints/n12_l40t2i_qdw_tv_i2t002/n12_final_snapshot.json
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{
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"checkpoint": {
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"architecture": "BAGEL-7B-MoT",
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"hf_path": "HuggingSelf/test0519:checkpoints/n12_l40t2i_qdw_tv_i2t002",
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"local_path": "/scratch/group/p.nairr260234.000/unicross/model_cache/old_protocol_search_20260731_pair_merged/n12_l40t2i_qdw_tv_i2t002",
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"merge": {
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"i2t_task_vector_weight": 0.02,
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"t2i_task_vector_weight": 1.0
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},
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"name": "n12_l40t2i_qdw_tv_i2t002",
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"sha256_ema_safetensors": "16eed14b3d372219dbf5efe38c9cb4500d072676a892a2cdbaacf4f3c38c226f",
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"size_ema_safetensors": 29214685448
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},
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"decision": {
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"adopted_at": "2026-08-12",
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"metric_stitching": false,
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"search_closed": true,
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"single_checkpoint": true
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},
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"generation_profiles": {
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"1024": {
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"dpg_bench": 84.4003383929,
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"geneval": 0.68081,
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"realunify_ueg_direct": 0.22,
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"ueval": 0.3088867063,
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"unified_bench": 0.8067024634,
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"wise": 0.3724
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},
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"512": {
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"dpg_bench": 84.8661517923,
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"geneval": 0.74887,
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"realunify_ueg_direct": 0.2366666667,
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"ueval": 0.3159789683,
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"unified_bench": 0.8130503676,
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"wise": 0.4348
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}
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},
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"other_results": {
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"imgedit_uge": {
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"complete": true,
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"judge": "Qwen2.5-VL-72B-Instruct-local",
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"parsed": 50,
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"score_out_of_5": 4.14,
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"total": 50
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},
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"mmvet": {
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"prediction_file_complete": true,
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"score": null,
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"status": "official-manual-score-pending"
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}
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},
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"understanding": {
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"mathvista": 73.8,
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"mmbench_en": 82.75,
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"mme_perception": 1688.037015,
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"mmmu": 0.533,
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"mmstar": 70.133333,
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"realunify_geu_direct": {
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"accuracy": 0.4,
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"correct": 160,
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"total": 400
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}
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}
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}
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