prompt_tokens int 问题tokens数 completion_tokens int 回答tokens数 total_tokens int tokens总数 注意 :同步模式和流式模式,响应参数返回不同,详细内容参考示例描述。 同步模式下,响应参数为以上字段的完整json包。 流式模式下,各字段的响应参数为 data: {响应参数}。 请求示例(单轮) 以访问凭证access_token鉴权...
Mistral-7B Chat Int4 DownloadDescriptionThe Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets. PublisherMistral.ai Latest Version1.2 ModifiedNovember 13, 2024 ...
Python 3.8 or later installed, including pip. The endpoint URL. To construct the client library, you need to pass in the endpoint URL. The endpoint URL has the form https://your-host-name.your-azure-region.inference.ai.azure.com, where your-host-name is your unique model deployment host...
FewShotPromptTemplate from langchain import LLMChain model_name="relaxml/Mistral-7b-E8PRVQ-4Bit" hf_access_token = "hf_XXXX" # Replace with your HF access token tokenizer = AutoTokenizer.from_pretrained( model
I am running mistral 7b and phi 2 in ARC GPU and getting a core dump error. I have converted the model into lower precision (int4) and saved it. And then loading the int4 model in the GPU. The same converted model I am being able to run successfully in the CPU. ...
Python 3.8 or later installed, including pip. The endpoint URL. To construct the client library, you need to pass in the endpoint URL. The endpoint URL has the form https://your-host-name.your-azure-region.inference.ai.azure.com, where your-host-name is your unique model deployment host...
default="act_scales/llama-2-7b.pt", ) parser.add_argument("--n_samples", type=int, default=40) parser.add_argument("--smooth", action="store_true") parser.add_argument("--quantize", action="store_true") args = parser.parse_args() alpha = args.alpha model_path = args.model_path...
qwen/Qwen-7B-Chat-Int4 qwen/Qwen-14B-Chat qwen/Qwen-14B-Chat-Int8 qwen/Qwen-14B-Chat-Int4 StableLM Quickstart Note:StableLM requires to install with: pip install"openllm[stablelm]" Run the following command to quickly spin up a StableLM server: ...
Python 3.8 or later installed, including pip. The endpoint URL. To construct the client library, you need to pass in the endpoint URL. The endpoint URL has the form https://your-host-name.your-azure-region.inference.ai.azure.com, where your-host-name is your unique model deployment host...
Python 3.8 or later installed, including pip. The endpoint URL. To construct the client library, you need to pass in the endpoint URL. The endpoint URL has the form https://your-host-name.your-azure-region.inference.ai.azure.com, where your-host-name is your unique model deployment host...