| import os |
| from ...smp import load_env |
|
|
| INTERNAL = os.environ.get('INTERNAL', 0) |
|
|
|
|
| def build_judge(**kwargs): |
| from ...api import OpenAIWrapper, SiliconFlowAPI, HFChatModel |
| model = kwargs.pop('model', None) |
| kwargs.pop('nproc', None) |
| load_env() |
| LOCAL_LLM = os.environ.get('LOCAL_LLM', None) |
| if LOCAL_LLM is None: |
| model_map = { |
| 'gpt-4-turbo': 'gpt-4-1106-preview', |
| 'gpt-4-0613': 'gpt-4-0613', |
| 'gpt-4-0125': 'gpt-4-0125-preview', |
| 'gpt-4-0409': 'gpt-4-turbo-2024-04-09', |
| 'chatgpt-1106': 'gpt-3.5-turbo-1106', |
| 'chatgpt-0125': 'gpt-3.5-turbo-0125', |
| 'gpt-4o': 'gpt-4o-2024-05-13', |
| 'gpt-4o-0806': 'gpt-4o-2024-08-06', |
| 'gpt-4o-mini': 'gpt-4o-mini-2024-07-18', |
| 'qwen-7b': 'Qwen/Qwen2.5-7B-Instruct', |
| 'qwen-72b': 'Qwen/Qwen2.5-72B-Instruct', |
| 'deepseek': 'deepseek-ai/DeepSeek-V2.5', |
| 'llama31-8b': 'meta-llama/Llama-3.1-8B-Instruct', |
| } |
| model_version = model_map[model] |
| else: |
| model_version = LOCAL_LLM |
|
|
| if model in ['qwen-7b', 'qwen-72b', 'deepseek']: |
| model = SiliconFlowAPI(model_version, **kwargs) |
| elif model == 'llama31-8b': |
| model = HFChatModel(model_version, **kwargs) |
| else: |
| model = OpenAIWrapper(model_version, **kwargs) |
| return model |
|
|
|
|
| DEBUG_MESSAGE = """ |
| To debug the OpenAI API, you can try the following scripts in python: |
| ```python |
| from vlmeval.api import OpenAIWrapper |
| model = OpenAIWrapper('gpt-4o', verbose=True) |
| msgs = [dict(type='text', value='Hello!')] |
| code, answer, resp = model.generate_inner(msgs) |
| print(code, answer, resp) |
| ``` |
| You cam see the specific error if the API call fails. |
| """ |
|
|
