port-bio-model-to-tenstorrent

port-bio-model-to-tenstorrent is an MLOps & model serving skill for AI agents, published by moritztng in the tt-bio repository on GitHub. Skillspace rates port-bio-model-to-tenstorrent D (55/100) and it passed the safety scan; the rating is based on static analysis only.

Playbook for implementing/porting a new biomolecular model (protein folding, structure prediction, protein language model, diffusion structure head, MSA encoder, etc.) onto Tenstorrent hardware inside the tt-bio codebase. Use when the task is "port model X to ttnn/Tenstorrent", "add a new model to tt-bio", "implement <bio model> on TT", or extending an existing port. Encodes the non-negotiable requirements (inference-only, accuracy, performance, --fast, unification, no redundancy, vendored pip deps) and the hard-won methodology (component-by-component parity porting, on-device residency, warm profiling, bit-exact bucketing, sample-dim batching with OOM chunking, bf16 load). Distilled from the ESMC-300M/6B + ESMFold2 and Boltz-2 ports (the 58-commit ESMFold2 history).

Grade

D

Quality

55 / 100

Safety

Passed

GitHub stars

113

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