TurboMind.from_pretrained('internlm/internlm-chat-20b', model_name='internlm-chat-20b') generator = tm_model.create_instance() # process query query = 'Hello! Today is sunny, it is time to go out' prompt = tm_model.model.get_prompt(query) input_ids = tm_model.tokenizer.encode(...
- `--model-format hf`: 这个参数指定了模型的格式,`hf`代表Hugging Face格式。这意味着服务器将会按照Hugging Face的标准来加载和使用模型。 - `--quant-policy 0`: 这个参数设置了量化策略,`0`代表不使用量化或者使用默认的量化策略。 - `--server-name 0.0.0.0`: 这个参数设置了服务器的主机名,`0.0.0....
Test the deployed modelCreate a file with inputs that can be submitted to the online endpoint for scoring. Below code sample input for the fill-mask type since we deployed the bert-base-uncased model. You can find input format, parameters and sample inputs on the Hugging Face hub inference...
Move model.layers.12 to CPU. Move model.layers.13 to CPU. Move model.layers.14 to CPU. Move model.layers.15 to CPU. Move model.layers.16 to CPU. Move model.layers.17 to CPU. Move model.layers.18 to CPU. Move model.layers.19 to CPU. Move model.layers.20 to CPU. Move model.la...
lmdeploy chat turbomind Qwen/Qwen-7B-Chat--model-name qwen-7b 上面两行命令分别展示了如何直接加载 Huggingface 的模型,第一条命令是加载使用 lmdeploy 量化的版本,第二条命令是加载其他 LLM 模型。 我们也可以直接启动本地的 Huggingface 模型,如下所示。
Azure AI Studio supports deploying some of the most popular large language and vision foundation models curated by Microsoft, Hugging Face, Meta, and more. "How do I choose the right model?" Azure AI Studio provides a model catalog where you can search and filter models based on your use ...
Access the Models with a Hugging Face Token If you want to run inference using the LLama3 model, you’ll need to generate a Hugging Face token that has access to these models. Visit Hugging Face Hugging Face for more information. After you have the token, perform one of the following...
An inference component is a SageMaker hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. To specify the model, you can specify a ...
Deploy a NeMo LLM Model Executing the script will directly deploy the in-framework (.nemo) model and initiate the service on Triton. Start the container using the steps described in theQuick Examplesection. To begin serving the downloaded model, run the following script: ...
--model-format hf:这个参数指定了模型的格式。hf代表“Hugging Face”格式。 --quant-policy 0:这个参数指定了量化策略。 --server-name 0.0.0.0:这个参数指定了服务器的名称。在这里,0.0.0.0是一个特殊的IP地址,它表示所有网络接口。 --server-port 23333:这个参数指定了服务器的端口号。在这里,23333是服务器...