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Description
Problem Description
Unable to run Magistral-Small-2509 benchmark
EvalScope Version (Required)
1.1.0
Executed Code or Instructions
evalscope perf
--url "http://127.0.0.1:7999/v1/chat/completions"
--parallel 1 4 16 64
--number 100 100 100 100
--model /models/Magistral-Small-2509
--api openai
--dataset random
--min-prompt-length 1024
--max-prompt-length 1024
--min-tokens 256
--max-tokens 256
--tokenizer-path mistralai/Magistral-Small-2509
Error Log
2025-10-17 16:56:31 - evalscope - ERROR: Exception in async function 'benchmark': <class 'transformers.models.mistral3.configuration_mistral3.Mistral3Config'>
Traceback (most recent call last):
File "/home/llmsvc1/venv/lib/python3.10/site-packages/evalscope/perf/utils/handler.py", line 17, in async_wrapper
return await func(*args, **kwargs)
File "/home/llmsvc1/venv/lib/python3.10/site-packages/evalscope/perf/benchmark.py", line 184, in benchmark
api_plugin = api_plugin_class(args)
File "/home/llmsvc1/venv/lib/python3.10/site-packages/evalscope/perf/plugin/api/openai_api.py", line 31, in init
self.tokenizer = AutoTokenizer.from_pretrained(param.tokenizer_path)
File "/home/llmsvc1/venv/lib/python3.10/site-packages/modelscope/utils/hf_util/patcher.py", line 285, in from_pretrained
module_obj = module_class.from_pretrained(
File "/home/llmsvc1/venv/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py", line 1141, in from_pretrained
tokenizer_class_py, tokenizer_class_fast = TOKENIZER_MAPPING[type(config)]
File "/home/llmsvc1/venv/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 815, in getitem
raise KeyError(key)
KeyError: <class 'transformers.models.mistral3.configuration_mistral3.Mistral3Config'>
Running Environment
- Operating System: Ubuntu 22.04.5 LTS
- Python Version: 3.10.12
Additional Information
No problem running on Qwen3-VL-30B-A3B-Instruct and Qwen3-VL-235B-A22B-Thinking.