Datasets:

satyasrinath1992
/

nirvana42-checkpoints-v1

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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 checkpoint
models/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

Celleval