Disable llama_v2_7b_16h on optim benchmarks as they currently OOM (#1792

)

Summary:
Fixes #1791

Pull Request resolved: #1792

Test Plan: https://github.com/pytorch/benchmark/actions/runs/5693564120 a run of the optim benchmarks

Reviewed By: xuzhao9

Differential Revision: D47873488

Pulled By: janeyx99

fbshipit-source-id: 322adb790aa739d5aff915de655641f17c6834e1

userbenchmark/optim/run.py

@@ -249,6 +249,10 @@ def get_unstable_models() -> Set[str]:
     # Skip models deemed unstable by torch-nightly
     {'model': m} for m in unstable_models
 ] + [
+    # 16h currently OOMs, but once it supports train, we should remove this line
+    # See tracker https://github.com/pytorch/benchmark/issues/1793
+    {'model': 'llama_v2_7b_16h'}
+] +[
     # SparseAdam does not support dense gradients
     {'optim': 'SparseAdam', 'model': m} for m in DENSE_MODELS
 ] + [