fix: Update eval adapter path and add PyTorch weights_only parameter

- Update custom_tasks_path in eval_adapter.py to user's local environment
- Add weights_only=False to torch.load() calls in convert_neox_to_hf.py

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

Author: Kyle1668

eval_tasks/eval_adapter.py

@@ -417,7 +417,7 @@ def run_eval(
 
         # register all the default tasks bundled with lm-evaluation-harness repository
         # TODO: Set via config
-        custom_tasks_path = "/workspace/lm_eval_tasks/"
+        custom_tasks_path = "/home/a5k/kyleobrien.a5k/filtering_for_danger/lm_eval_tasks/"
         task_manager = tasks.TaskManager(include_path=custom_tasks_path)
         task_manager.initialize_tasks()
 

tools/ckpts/convert_neox_to_hf.py

@@ -213,6 +213,7 @@ def load_partitions(
                 filename_format.format(i=i),
             ),
             map_location=torch.device("cuda" if torch.cuda.is_available() else "cpu"),
+            weights_only=False,
         )
         for i in range(mp_partitions)
     ]