Added model info passing directly

src/backend/run_eval_suite_lighteval.py

@@ -8,6 +8,7 @@ from lighteval.main_accelerate import main, EnvConfig, create_model_config, load
 from src.envs import RESULTS_REPO, CACHE_PATH, TOKEN, OWNER
 from src.backend.manage_requests import EvalRequest
 from lighteval.logging.evaluation_tracker import EnhancedJSONEncoder
+from lighteval.models.model_loader import ModelInfo
 
 logging.getLogger("openai").setLevel(logging.WARNING)
 
@@ -40,16 +41,13 @@ def run_evaluation(eval_request: EvalRequest, task_names: str, batch_size: int,
             "tasks": task_names,
             "dataset_loading_processes": 24,
             "num_fewshot_seeds": 0,
-            "reuse_existing": False
+            "reuse_existing": False,
+            "model_info": ModelInfo(eval_request.model, eval_request.revision, eval_request.precision, eval_request.params),
     })
 
     try:
         results = main(args)
 
-        results["config_general"]["model_dtype"] = eval_request.precision
-        results["config_general"]["model_name"] = eval_request.model
-        results["config_general"]["model_sha"] = eval_request.revision
-
         dumped = json.dumps(results, cls=EnhancedJSONEncoder, indent=2)
         print(dumped)
     except Exception as ex: # if eval failed, we force a cleanup