chore: import upstream snapshot with attribution

examples/eval/eval_url/demo.py

@@ -0,0 +1,15 @@
+# Copyright (c) ModelScope Contributors. All rights reserved.
+import os
+
+os.environ['CUDA_VISIBLE_DEVICES'] = '0'
+
+if __name__ == '__main__':
+    from swift import DeployArguments, EvalArguments, eval_main, run_deploy
+
+    # Here's a runnable demo provided. Use the eval_url method for evaluation.
+    # In a real scenario, you can simply remove the deployed context.
+    print(EvalArguments.list_eval_dataset())
+    with run_deploy(
+            DeployArguments(model='Qwen/Qwen2.5-0.5B-Instruct', verbose=False, log_interval=-1, infer_backend='vllm'),
+            return_url=True) as url:
+        eval_main(EvalArguments(model='Qwen2.5-0.5B-Instruct', eval_url=url, eval_dataset=['arc']))

examples/eval/eval_url/eval.sh

@@ -0,0 +1,7 @@
+# You need to have a deployed model or api service first
+swift eval \
+    --model '<model_name>' \
+    --eval_backend OpenCompass \
+    --eval_url http://127.0.0.1:8000/v1 \
+    --eval_limit 100 \
+    --eval_dataset gsm8k