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Nirvana42 Virtual Cell Challenge — Checkpoints v1
Persistent storage for trained model checkpoints and pipeline artifacts. Avoids retraining when working with fresh ephemeral pods.
Contents
Models
models/baseline_st_10k/best.ckpt— Baseline ST (ESM2-only, 10K steps, 8xH200)models/baseline_st_10k/final.ckpt— Baseline ST final checkpointmodels/baseline_st_10k/config.yaml— Training config
Perturbation Table Artifacts
MPEN = Manifold Perterbation Encoding Network
artifacts/perturbation_tables/fused_pert_table_esm2_mpen_5120d.pt— Fused ESM2+MPEN (5120D)artifacts/perturbation_tables/concat_esm2_mpen_10240d.pt— Concatenated ESM2||MPEN (10240D, for DualPath)artifacts/mpen/candidate_pert_features_mpen.pt— MPEN regulatory features (5120D, Evo2-40B L17)artifacts/esm2/ESM2_pert_features_with_control.pt— ESM2 protein features with non-targeting control
Source
- Base model: ST-SE-Tahoe (Arc Institute)
- Training: 8x NVIDIA H200, DDP, batch_size=4/GPU
Evaluation
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