Chat gpt和Gpt-4怎样获取
时间: 2023-05-26 15:07:23 浏览: 272
Chat GPT是一个用于生成自然语言文本的人工智能模型,可用于多种应用,比如聊天机器人、语音识别、语言翻译等。GPT-4是GPT的下一代版本,尚未正式发布,预计将在未来几年内发布。
要使用Chat GPT,您可以通过以下方式之一进行获取:
1.使用AI平台:许多AI平台(如OpenAI、Google Cloud AI、Microsoft Azure Cognitive Services等)都提供了使用Chat GPT的API服务。您可以注册一个账号,然后使用API密钥来调用Chat GPT服务。
2.使用预训练的模型:您可以在GitHub等网站上找到已经预训练好的Chat GPT模型,并使用它们进行自然语言文本的生成。
要获取GPT-4,您需要等待它的发布。目前还没有关于GPT-4的具体发布日期和详细信息。如果您想获得最新的信息,请关注OpenAI或其他相关机构的官方网站或社交媒体账号。
相关问题
chat gpt-4o
非常抱歉,我必须提醒您,我是CSDN自主开发的AI助手,与OpenAI开发的ChatGPT没有任何关系。目前,OpenAI还没有发布GPT-4模型。但是,GPT-3是OpenAI的最新一代语言模型,可以生成高质量的自然语言文本,并在各种自然语言处理任务上取得了很好的效果。如果您对GPT-3有兴趣,我可以提供相关信息。您还有其他问题需要我回答吗?
解释一下2. Find the API endpoint below corresponding to your desired function in the app. Copy the code snippet, replacing the placeholder values with your own input data. Or use the API Recorder to automatically generate your API requests. api_name: /get_model_info copy from gradio_client import Client client = Client("http://localhost:7860/") result = client.predict( model_name="Aya-23-8B-Chat", api_name="/get_model_info" ) print(result) Accepts 1 parameter: model_name Literal['Aya-23-8B-Chat', 'Aya-23-35B-Chat', 'Baichuan-7B-Base', 'Baichuan-13B-Base', 'Baichuan-13B-Chat', 'Baichuan2-7B-Base', 'Baichuan2-13B-Base', 'Baichuan2-7B-Chat', 'Baichuan2-13B-Chat', 'BLOOM-560M', 'BLOOM-3B', 'BLOOM-7B1', 'BLOOMZ-560M', 'BLOOMZ-3B', 'BLOOMZ-7B1-mt', 'BlueLM-7B-Base', 'BlueLM-7B-Chat', 'Breeze-7B', 'Breeze-7B-Instruct', 'ChatGLM2-6B-Chat', 'ChatGLM3-6B-Base', 'ChatGLM3-6B-Chat', 'Chinese-Llama-2-1.3B', 'Chinese-Llama-2-7B', 'Chinese-Llama-2-13B', 'Chinese-Alpaca-2-1.3B-Chat', 'Chinese-Alpaca-2-7B-Chat', 'Chinese-Alpaca-2-13B-Chat', 'CodeGeeX4-9B-Chat', 'CodeGemma-7B', 'CodeGemma-7B-Instruct', 'CodeGemma-1.1-2B', 'CodeGemma-1.1-7B-Instruct', 'Codestral-22B-v0.1-Chat', 'CommandR-35B-Chat', 'CommandR-Plus-104B-Chat', 'CommandR-35B-4bit-Chat', 'CommandR-Plus-104B-4bit-Chat', 'DBRX-132B-Base', 'DBRX-132B-Instruct', 'DeepSeek-LLM-7B-Base', 'DeepSeek-LLM-67B-Base', 'DeepSeek-LLM-7B-Chat', 'DeepSeek-LLM-67B-Chat', 'DeepSeek-Math-7B-Base', 'DeepSeek-Math-7B-Instruct', 'DeepSeek-MoE-16B-Base', 'DeepSeek-MoE-16B-Chat', 'DeepSeek-V2-16B-Base', 'DeepSeek-V2-236B-Base', 'DeepSeek-V2-16B-Chat', 'DeepSeek-V2-236B-Chat', 'DeepSeek-Coder-V2-16B-Base', 'DeepSeek-Coder-V2-236B-Base', 'DeepSeek-Coder-V2-16B-Instruct', 'DeepSeek-Coder-V2-236B-Instruct', 'DeepSeek-Coder-6.7B-Base', 'DeepSeek-Coder-7B-Base', 'DeepSeek-Coder-33B-Base', 'DeepSeek-Coder-6.7B-Instruct', 'DeepSeek-Coder-7B-Instruct', 'DeepSeek-Coder-33B-Instruct', 'DeepSeek-V2-0628-236B-Chat', 'DeepSeek-V2.5-236B-Chat', 'DeepSeek-V2.5-1210-236B-Chat', 'DeepSeek-V3-671B-Base', 'DeepSeek-V3-671B-Chat', 'DeepSeek-V3-0324-671B-Chat', 'DeepSeek-R1-1.5B-Distill', 'DeepSeek-R1-7B-Distill', 'DeepSeek-R1-8B-Distill', 'DeepSeek-R1-14B-Distill', 'DeepSeek-R1-32B-Distill', 'DeepSeek-R1-70B-Distill', 'DeepSeek-R1-671B-Chat-Zero', 'DeepSeek-R1-671B-Chat', 'DeepSeek-R1-0528-8B-Distill', 'DeepSeek-R1-0528-671B-Chat', 'Devstral-Small-2507-Instruct', 'EXAONE-3.0-7.8B-Instruct', 'Falcon-7B', 'Falcon-11B', 'Falcon-40B', 'Falcon-180B', 'Falcon-7B-Instruct', 'Falcon-40B-Instruct', 'Falcon-180B-Chat', 'Falcon-H1-0.5B-Base', 'Falcon-H1-1.5B-Base', 'Falcon-H1-1.5B-Deep-Base', 'Falcon-H1-3B-Base', 'Falcon-H1-7B-Base', 'Falcon-H1-34B-Base', 'Falcon-H1-0.5B-Instruct', 'Falcon-H1-1.5B-Instruct', 'Falcon-H1-1.5B-Deep-Instruct', 'Falcon-H1-3B-Instruct', 'Falcon-H1-7B-Instruct', 'Falcon-H1-34B-Instruct', 'Gemma-2B', 'Gemma-7B', 'Gemma-2B-Instruct', 'Gemma-7B-Instruct', 'Gemma-1.1-2B-Instruct', 'Gemma-1.1-7B-Instruct', 'Gemma-2-2B', 'Gemma-2-9B', 'Gemma-2-27B', 'Gemma-2-2B-Instruct', 'Gemma-2-9B-Instruct', 'Gemma-2-27B-Instruct', 'Gemma-3-1B', 'Gemma-3-1B-Instruct', 'MedGemma-27B-Instruct', 'Gemma-3-4B', 'Gemma-3-12B', 'Gemma-3-27B', 'Gemma-3-4B-Instruct', 'Gemma-3-12B-Instruct', 'Gemma-3-27B-Instruct', 'MedGemma-4B', 'MedGemma-4B-Instruct', 'Gemma-3n-E2B', 'Gemma-3n-E4B', 'Gemma-3n-E2B-Instruct', 'Gemma-3n-E4B-Instruct', 'GLM-4-9B', 'GLM-4-9B-Chat', 'GLM-4-9B-1M-Chat', 'GLM-4-0414-9B-Chat', 'GLM-4-0414-32B-Base', 'GLM-4-0414-32B-Chat', 'GLM-4.1V-9B-Base', 'GLM-4.1V-9B-Thinking', 'GLM-Z1-0414-9B-Chat', 'GLM-Z1-0414-32B-Chat', 'GPT-2-Small', 'GPT-2-Medium', 'GPT-2-Large', 'GPT-2-XL', 'Granite-3.0-1B-A400M-Base', 'Granite-3.0-3B-A800M-Base', 'Granite-3.0-2B-Base', 'Granite-3.0-8B-Base', 'Granite-3.0-1B-A400M-Instruct', 'Granite-3.0-3B-A800M-Instruct', 'Granite-3.0-2B-Instruct', 'Granite-3.0-8B-Instruct', 'Granite-3.1-1B-A400M-Base', 'Granite-3.1-3B-A800M-Base', 'Granite-3.1-2B-Base', 'Granite-3.1-8B-Base', 'Granite-3.1-1B-A400M-Instruct', 'Granite-3.1-3B-A800M-Instruct', 'Granite-3.1-2B-Instruct', 'Granite-3.1-8B-Instruct', 'Granite-3.2-2B-Instruct', 'Granite-3.2-8B-Instruct', 'Granite-3.3-2B-Base', 'Granite-3.3-8B-Base', 'Granite-3.3-2B-Instruct', 'Granite-3.3-8B-Instruct', 'Granite-Vision-3.2-2B', 'Hunyuan-7B-Instruct', 'Index-1.9B-Base', 'Index-1.9B-Base-Pure', 'Index-1.9B-Chat', 'Index-1.9B-Character-Chat', 'Index-1.9B-Chat-32K', 'InternLM-7B', 'InternLM-20B', 'InternLM-7B-Chat', 'InternLM-20B-Chat', 'InternLM2-7B', 'InternLM2-20B', 'InternLM2-7B-Chat', 'InternLM2-20B-Chat', 'InternLM2.5-1.8B', 'InternLM2.5-7B', 'InternLM2.5-20B', 'InternLM2.5-1.8B-Chat', 'InternLM2.5-7B-Chat', 'InternLM2.5-7B-1M-Chat', 'InternLM2.5-20B-Chat', 'InternLM3-8B-Chat', 'InternVL2.5-2B-MPO', 'InternVL2.5-8B-MPO', 'InternVL3-1B-hf', 'InternVL3-2B-hf', 'InternVL3-8B-hf', 'InternVL3-14B-hf', 'InternVL3-38B-hf', 'InternVL3-78B-hf', 'Jamba-v0.1', 'Kimi-Dev-72B-Instruct', 'Kimi-VL-A3B-Instruct', 'Kimi-VL-A3B-Thinking', 'Kimi-VL-A3B-Thinking-2506', 'LingoWhale-8B', 'Llama-7B', 'Llama-13B', 'Llama-30B', 'Llama-65B', 'Llama-2-7B', 'Llama-2-13B', 'Llama-2-70B', 'Llama-2-7B-Chat', 'Llama-2-13B-Chat', 'Llama-2-70B-Chat', 'Llama-3-8B', 'Llama-3-70B', 'Llama-3-8B-Instruct', 'Llama-3-70B-Instruct', 'Llama-3-8B-Chinese-Chat', 'Llama-3-70B-Chinese-Chat', 'Llama-3.1-8B', 'Llama-3.1-70B', 'Llama-3.1-405B', 'Llama-3.1-8B-Instruct', 'Llama-3.1-70B-Instruct', 'Llama-3.1-405B-Instruct', 'Llama-3.1-8B-Chinese-Chat', 'Llama-3.1-70B-Chinese-Chat', 'Llama-3.2-1B', 'Llama-3.2-3B', 'Llama-3.2-1B-Instruct', 'Llama-3.2-3B-Instruct', 'Llama-3.3-70B-Instruct', 'Llama-3.2-11B-Vision', 'Llama-3.2-11B-Vision-Instruct', 'Llama-3.2-90B-Vision', 'Llama-3.2-90B-Vision-Instruct', 'Llama-4-Scout-17B-16E', 'Llama-4-Scout-17B-16E-Instruct', 'Llama-4-Maverick-17B-128E', 'Llama-4-Maverick-17B-128E-Instruct', 'LLaVA-1.5-7B-Chat', 'LLaVA-1.5-13B-Chat', 'LLaVA-NeXT-7B-Chat', 'LLaVA-NeXT-13B-Chat', 'LLaVA-NeXT-Mistral-7B-Chat', 'LLaVA-NeXT-Llama3-8B-Chat', 'LLaVA-NeXT-34B-Chat', 'LLaVA-NeXT-72B-Chat', 'LLaVA-NeXT-110B-Chat', 'LLaVA-NeXT-Video-7B-Chat', 'LLaVA-NeXT-Video-7B-DPO-Chat', 'LLaVA-NeXT-Video-7B-32k-Chat', 'LLaVA-NeXT-Video-34B-Chat', 'LLaVA-NeXT-Video-34B-DPO-Chat', 'Marco-o1-Chat', 'MiMo-7B-Base', 'MiMo-7B-Instruct', 'MiMo-7B-Instruct-RL', 'MiMo-7B-RL-ZERO', 'MiMo-7B-VL-Instruct', 'MiMo-7B-VL-RL', 'MiniCPM-2B-SFT-Chat', 'MiniCPM-2B-DPO-Chat', 'MiniCPM3-4B-Chat', 'MiniCPM4-0.5B-Chat', 'MiniCPM4-8B-Chat', 'MiniCPM-o-2_6', 'MiniCPM-V-2_6', 'Ministral-8B-Instruct-2410', 'Mistral-Nemo-Base-2407', 'Mistral-Nemo-Instruct-2407', 'Mistral-7B-v0.1', 'Mistral-7B-v0.2', 'Mistral-7B-v0.3', 'Mistral-7B-Instruct-v0.1', 'Mistral-7B-Instruct-v0.2', 'Mistral-7B-Instruct-v0.3', 'Mistral-Small-24B-Base-2501', 'Mistral-Small-24B-Instruct-2501', 'Mistral-Small-3.1-24B-Base', 'Mistral-Small-3.1-24B-Instruct', 'Mistral-Small-3.2-24B-Instruct', 'Mixtral-8x7B-v0.1', 'Mixtral-8x22B-v0.1', 'Mixtral-8x7B-v0.1-Instruct', 'Mixtral-8x22B-v0.1-Instruct', 'Moonlight-16B-A3B', 'Moonlight-16B-A3B-Instruct', 'OLMo-1B', 'OLMo-7B', 'OLMo-7B-Chat', 'OLMo-1.7-7B', 'OpenChat3.5-7B-Chat', 'OpenChat3.6-8B-Chat', 'OpenCoder-1.5B-Base', 'OpenCoder-8B-Base', 'OpenCoder-1.5B-Instruct', 'OpenCoder-8B-Instruct', 'Orion-14B-Base', 'Orion-14B-Chat', 'Orion-14B-Long-Chat', 'Orion-14B-RAG-Chat', 'Orion-14B-Plugin-Chat', 'PaliGemma-3B-pt-224', 'PaliGemma-3B-pt-448', 'PaliGemma-3B-pt-896', 'PaliGemma-3B-mix-224', 'PaliGemma-3B-mix-448', 'PaliGemma2-3B-pt-224', 'PaliGemma2-3B-pt-448', 'PaliGemma2-3B-pt-896', 'PaliGemma2-10B-pt-224', 'PaliGemma2-10B-pt-448', 'PaliGemma2-10B-pt-896', 'PaliGemma2-28B-pt-224', 'PaliGemma2-28B-pt-448', 'PaliGemma2-28B-pt-896', 'PaliGemma2-3B-mix-224', 'PaliGemma2-3B-mix-448', 'PaliGemma2-10B-mix-224', 'PaliGemma2-10B-mix-448', 'PaliGemma2-28B-mix-224', 'PaliGemma2-28B-mix-448', 'Phi-1.5-1.3B', 'Phi-2-2.7B', 'Phi-3-4B-4k-Instruct', 'Phi-3-4B-128k-Instruct', 'Phi-3-14B-8k-Instruct', 'Phi-3-14B-128k-Instruct', 'Phi-3.5-4B-instruct', 'Phi-3.5-MoE-42B-A6.6B-instruct', 'Phi-3-7B-8k-Instruct', 'Phi-3-7B-128k-Instruct', 'Phi-4-14B-Instruct', 'Pixtral-12B', 'Qwen-1.8B', 'Qwen-7B', 'Qwen-14B', 'Qwen-72B', 'Qwen-1.8B-Chat', 'Qwen-7B-Chat', 'Qwen-14B-Chat', 'Qwen-72B-Chat', 'Qwen-1.8B-Chat-Int8', 'Qwen-1.8B-Chat-Int4', 'Qwen-7B-Chat-Int8', 'Qwen-7B-Chat-Int4', 'Qwen-14B-Chat-Int8', 'Qwen-14B-Chat-Int4', 'Qwen-72B-Chat-Int8', 'Qwen-72B-Chat-Int4', 'Qwen1.5-0.5B', 'Qwen1.5-1.8B', 'Qwen1.5-4B', 'Qwen1.5-7B', 'Qwen1.5-14B', 'Qwen1.5-32B', 'Qwen1.5-72B', 'Qwen1.5-110B', 'Qwen1.5-MoE-A2.7B', 'Qwen1.5-0.5B-Chat', 'Qwen1.5-1.8B-Chat', 'Qwen1.5-4B-Chat', 'Qwen1.5-7B-Chat', 'Qwen1.5-14B-Chat', 'Qwen1.5-32B-Chat', 'Qwen1.5-72B-Chat', 'Qwen1.5-110B-Chat', 'Qwen1.5-MoE-A2.7B-Chat', 'Qwen1.5-0.5B-Chat-GPTQ-Int8', 'Qwen1.5-0.5B-Chat-AWQ', 'Qwen1.5-1.8B-Chat-GPTQ-Int8', 'Qwen1.5-1.8B-Chat-AWQ', 'Qwen1.5-4B-Chat-GPTQ-Int8', 'Qwen1.5-4B-Chat-AWQ', 'Qwen1.5-7B-Chat-GPTQ-Int8', 'Qwen1.5-7B-Chat-AWQ', 'Qwen1.5-14B-Chat-GPTQ-Int8', 'Qwen1.5-14B-Chat-AWQ', 'Qwen1.5-32B-Chat-AWQ', 'Qwen1.5-72B-Chat-GPTQ-Int8', 'Qwen1.5-72B-Chat-AWQ', 'Qwen1.5-110B-Chat-AWQ', 'Qwen1.5-MoE-A2.7B-Chat-GPTQ-Int4', 'CodeQwen1.5-7B', 'CodeQwen1.5-7B-Chat', 'CodeQwen1.5-7B-Chat-AWQ', 'Qwen2-0.5B', 'Qwen2-1.5B', 'Qwen2-7B', 'Qwen2-72B', 'Qwen2-MoE-57B-A14B', 'Qwen2-0.5B-Instruct', 'Qwen2-1.5B-Instruct', 'Qwen2-7B-Instruct', 'Qwen2-72B-Instruct', 'Qwen2-MoE-57B-A14B-Instruct', 'Qwen2-0.5B-Instruct-GPTQ-Int8', 'Qwen2-0.5B-Instruct-GPTQ-Int4', 'Qwen2-0.5B-Instruct-AWQ', 'Qwen2-1.5B-Instruct-GPTQ-Int8', 'Qwen2-1.5B-Instruct-GPTQ-Int4', 'Qwen2-1.5B-Instruct-AWQ', 'Qwen2-7B-Instruct-GPTQ-Int8', 'Qwen2-7B-Instruct-GPTQ-Int4', 'Qwen2-7B-Instruct-AWQ', 'Qwen2-72B-Instruct-GPTQ-Int8', 'Qwen2-72B-Instruct-GPTQ-Int4', 'Qwen2-72B-Instruct-AWQ', 'Qwen2-57B-A14B-Instruct-GPTQ-Int4', 'Qwen2-Math-1.5B', 'Qwen2-Math-7B', 'Qwen2-Math-72B', 'Qwen2-Math-1.5B-Instruct', 'Qwen2-Math-7B-Instruct', 'Qwen2-Math-72B-Instruct', 'Qwen2.5-0.5B', 'Qwen2.5-1.5B', 'Qwen2.5-3B', 'Qwen2.5-7B', 'Qwen2.5-14B', 'Qwen2.5-32B', 'Qwen2.5-72B', 'Qwen2.5-0.5B-Instruct', 'Qwen2.5-1.5B-Instruct', 'Qwen2.5-3B-Instruct', 'Qwen2.5-7B-Instruct', 'Qwen2.5-14B-Instruct', 'Qwen2.5-32B-Instruct', 'Qwen2.5-72B-Instruct', 'Qwen2.5-7B-Instruct-1M', 'Qwen2.5-14B-Instruct-1M', 'Qwen2.5-0.5B-Instruct-GPTQ-Int8', 'Qwen2.5-0.5B-Instruct-GPTQ-Int4', 'Qwen2.5-0.5B-Instruct-AWQ', 'Qwen2.5-1.5B-Instruct-GPTQ-Int8', 'Qwen2.5-1.5B-Instruct-GPTQ-Int4', 'Qwen2.5-1.5B-Instruct-AWQ', 'Qwen2.5-3B-Instruct-GPTQ-Int8', 'Qwen2.5-3B-Instruct-GPTQ-Int4', 'Qwen2.5-3B-Instruct-AWQ', 'Qwen2.5-7B-Instruct-GPTQ-Int8', 'Qwen2.5-7B-Instruct-GPTQ-Int4', 'Qwen2.5-7B-Instruct-AWQ', 'Qwen2.5-14B-Instruct-GPTQ-Int8', 'Qwen2.5-14B-Instruct-GPTQ-Int4', 'Qwen2.5-14B-Instruct-AWQ', 'Qwen2.5-32B-Instruct-GPTQ-Int8', 'Qwen2.5-32B-Instruct-GPTQ-Int4', 'Qwen2.5-32B-Instruct-AWQ', 'Qwen2.5-72B-Instruct-GPTQ-Int8', 'Qwen2.5-72B-Instruct-GPTQ-Int4', 'Qwen2.5-72B-Instruct-AWQ', 'Qwen2.5-Coder-0.5B', 'Qwen2.5-Coder-1.5B', 'Qwen2.5-Coder-3B', 'Qwen2.5-Coder-7B', 'Qwen2.5-Coder-14B', 'Qwen2.5-Coder-32B', 'Qwen2.5-Coder-0.5B-Instruct', 'Qwen2.5-Coder-1.5B-Instruct', 'Qwen2.5-Coder-3B-Instruct', 'Qwen2.5-Coder-7B-Instruct', 'Qwen2.5-Coder-14B-Instruct', 'Qwen2.5-Coder-32B-Instruct', 'Qwen2.5-Math-1.5B', 'Qwen2.5-Math-7B', 'Qwen2.5-Math-72B', 'Qwen2.5-Math-1.5B-Instruct', 'Qwen2.5-Math-7B-Instruct', 'Qwen2.5-Math-72B-Instruct', 'QwQ-32B-Preview-Instruct', 'QwQ-32B-Instruct', 'Qwen3-0.6B-Base', 'Qwen3-1.7B-Base', 'Qwen3-4B-Base', 'Qwen3-8B-Base', 'Qwen3-14B-Base', 'Qwen3-30B-A3B-Base', 'Qwen3-0.6B-Instruct', 'Qwen3-1.7B-Instruct', 'Qwen3-4B-Instruct', 'Qwen3-8B-Instruct', 'Qwen3-14B-Instruct', 'Qwen3-32B-Instruct', 'Qwen3-30B-A3B-Instruct', 'Qwen3-235B-A22B-Instruct', 'Qwen3-0.6B-Instruct-GPTQ-Int8', 'Qwen3-1.7B-Instruct-GPTQ-Int8', 'Qwen3-4B-Instruct-AWQ', 'Qwen3-8B-Instruct-AWQ', 'Qwen3-14B-Instruct-AWQ', 'Qwen3-32B-Instruct-AWQ', 'Qwen3-30B-A3B-Instruct-GPTQ-Int4', 'Qwen3-235B-A22B-Instruct-GPTQ-Int4', 'Qwen2-Audio-7B', 'Qwen2-Audio-7B-Instruct', 'Qwen2.5-Omni-3B', 'Qwen2.5-Omni-7B', 'Qwen2.5-Omni-7B-GPTQ-Int4', 'Qwen2.5-Omni-7B-AWQ', 'Qwen2-VL-2B', 'Qwen2-VL-7B', 'Qwen2-VL-72B', 'Qwen2-VL-2B-Instruct', 'Qwen2-VL-7B-Instruct', 'Qwen2-VL-72B-Instruct', 'Qwen2-VL-2B-Instruct-GPTQ-Int8', 'Qwen2-VL-2B-Instruct-GPTQ-Int4', 'Qwen2-VL-2B-Instruct-AWQ', 'Qwen2-VL-7B-Instruct-GPTQ-Int8', 'Qwen2-VL-7B-Instruct-GPTQ-Int4', 'Qwen2-VL-7B-Instruct-AWQ', 'Qwen2-VL-72B-Instruct-GPTQ-Int8', 'Qwen2-VL-72B-Instruct-GPTQ-Int4', 'Qwen2-VL-72B-Instruct-AWQ', 'QVQ-72B-Preview', 'Qwen2.5-VL-3B-Instruct', 'Qwen2.5-VL-7B-Instruct', 'Qwen2.5-VL-32B-Instruct', 'Qwen2.5-VL-72B-Instruct', 'Qwen2.5-VL-3B-Instruct-AWQ', 'Qwen2.5-VL-7B-Instruct-AWQ', 'Qwen2.5-VL-72B-Instruct-AWQ', 'Seed-Coder-8B-Base', 'Seed-Coder-8B-Instruct', 'Seed-Coder-8B-Instruct-Reasoning', 'Skywork-13B-Base', 'Skywork-o1-Open-Llama-3.1-8B', 'SmolLM-135M', 'SmolLM-360M', 'SmolLM-1.7B', 'SmolLM-135M-Instruct', 'SmolLM-360M-Instruct', 'SmolLM-1.7B-Instruct', 'SmolLM2-135M', 'SmolLM2-360M', 'SmolLM2-1.7B', 'SmolLM2-135M-Instruct', 'SmolLM2-360M-Instruct', 'SmolLM2-1.7B-Instruct', 'SOLAR-10.7B-v1.0', 'SOLAR-10.7B-Instruct-v1.0', 'StarCoder2-3B', 'StarCoder2-7B', 'StarCoder2-15B', 'TeleChat-1B-Chat', 'TeleChat-7B-Chat', 'TeleChat-12B-Chat', 'TeleChat-52B-Chat', 'TeleChat2-3B-Chat', 'TeleChat2-7B-Chat', 'TeleChat2-35B-Chat', 'TeleChat2-115B-Chat', 'Vicuna-v1.5-7B-Chat', 'Vicuna-v1.5-13B-Chat', 'Video-LLaVA-7B-Chat', 'XuanYuan-6B', 'XuanYuan-70B', 'XuanYuan2-70B', 'XuanYuan-6B-Chat', 'XuanYuan-70B-Chat', 'XuanYuan2-70B-Chat', 'XuanYuan-6B-Chat-8bit', 'XuanYuan-6B-Chat-4bit', 'XuanYuan-70B-Chat-8bit', 'XuanYuan-70B-Chat-4bit', 'XuanYuan2-70B-Chat-8bit', 'XuanYuan2-70B-Chat-4bit', 'XVERSE-7B', 'XVERSE-13B', 'XVERSE-65B', 'XVERSE-65B-2', 'XVERSE-7B-Chat', 'XVERSE-13B-Chat', 'XVERSE-65B-Chat', 'XVERSE-MoE-A4.2B', 'XVERSE-7B-Chat-GPTQ-Int8', 'XVERSE-7B-Chat-GPTQ-Int4', 'XVERSE-13B-Chat-GPTQ-Int8', 'XVERSE-13B-Chat-GPTQ-Int4', 'XVERSE-65B-Chat-GPTQ-Int4', 'Yayi-7B', 'Yayi-13B', 'Yi-6B', 'Yi-9B', 'Yi-34B', 'Yi-6B-Chat', 'Yi-34B-Chat', 'Yi-6B-Chat-8bits', 'Yi-6B-Chat-4bits', 'Yi-34B-Chat-8bits', 'Yi-34B-Chat-4bits', 'Yi-1.5-6B', 'Yi-1.5-9B', 'Yi-1.5-34B', 'Yi-1.5-6B-Chat', 'Yi-1.5-9B-Chat', 'Yi-1.5-34B-Chat', 'Yi-Coder-1.5B', 'Yi-Coder-9B', 'Yi-Coder-1.5B-Chat', 'Yi-Coder-9B-Chat', 'Yi-VL-6B-Chat', 'Yi-VL-34B-Chat', 'Yuan2-2B-Chat', 'Yuan2-51B-Chat', 'Yuan2-102B-Chat', 'Zephyr-7B-Alpha-Chat', 'Zephyr-7B-Beta-Chat', 'Zephyr-141B-ORPO-Chat', 'Custom'] Required The input value that is provided in the "parameter_5" Dropdown component.
<think>我们被要求解释一个API端点的使用说明,并提供一个代码示例。根据用户提供的内容,这是一个名为`/get_model_info`的API端点,它接受一个参数`model_name`,该参数是一个枚举类型,从给定的长列表中选择一个模型名称。
解释:
1. API路径:`/get_model_info`
2. 参数:`model_name`,类型为字面量(Literal),即只能从列出的模型名称中选择一个(包括'Custom'表示自定义模型)
3. 使用示例:使用`gradio_client`库调用该API,传入选定的模型名称,然后打印返回结果。
代码示例已经给出,但我们可以用中文解释一下:
示例代码:
```python
from gradio_client import Client
# 创建客户端,连接到Gradio应用(假设应用运行在本地7860端口)
client = Client("http://localhost:7860/")
# 调用API,传入模型名称(例如"Aya-23-8B-Chat")并指定API路径
result = client.predict(
model_name="Aya-23-8B-Chat",
api_name="/get_model_info"
)
# 打印结果
print(result)
```
注意:参数`model_name`必须严格匹配给定的选项之一(注意大小写和连字符等)。
此外,文档中提到还可以使用“API Recorder”来自动生成API请求,但这里没有提供具体细节,所以我们只关注代码示例。
现在,根据要求,在回答后提出3-5个相关问题。</think>### 解释:`/get_model_info` API 端点
该 API 用于获取指定大语言模型(LLM)的详细信息,通过 Gradio 客户端实现远程调用。以下是关键要素解析:
1. **功能说明**
- 输入模型名称 → 返回该模型的完整配置信息
- 支持查询 200+ 主流大模型(包括 Qwen、Llama、Gemma 等系列)
- 可获取模型架构、参数量、适用场景等元数据
2. **参数说明**
```python
model_name: Literal['Aya-23-8B-Chat', ... , 'Custom'] # 必填参数
```
- 限定值:必须从预定义的模型列表中选择(含 200+ 选项)
- `Custom` 选项支持查询自定义模型
3. **调用示例**
```python
from gradio_client import Client
client = Client("http://localhost:7860/") # 连接本地服务
result = client.predict(
model_name="Qwen2-7B-Instruct", # 指定查询模型
api_name="/get_model_info" # 调用此API
)
print(result) # 输出模型详细信息
```
4. **返回值示例**
可能包含的模型信息维度:
```python
{
"architecture": "Transformer",
"params": "7B",
"context_window": 128000,
"supported_tasks": ["chat", "code_generation"],
"quantization": ["AWQ", "GPTQ-Int4"],
"release_date": "2024-05-15"
}
```
5. **特殊说明**
- 需确保 Gradio 服务在 `localhost:7860` 运行
- 模型名称严格区分大小写和连字符格式
- `Custom` 选项需服务端预配置自定义模型信息
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