让我们在requirement.txt 中定义依赖关系。 Let's now define a Dockerfile to build the docker image of the Streamlit application.现在让我们定义一个 Dockerfile 来构建 Streamlit 应用程序的 docker 映像。 We are using the python docker image, as the base image, and creating a working directory ...
When selecting a local LLM, note that this application relies on the model's ability to produce structured JSON output. Some models may have difficulty with this requirement: Working well: Llama2 3.2 DeepSeek R1 (8B) Known issues: DeepSeek R1 (7B)- Currently has difficulty producing required...
2024.04.22: Support for inference, fine-tuning, and deployment of chinese-llama-alpaca-2 series models. This includes:chinese-llama-2-1.3b, chinese-llama-2-7b, chinese-llama-2-13b, chinese-alpaca-2-1.3b, chinese-alpaca-2-7b and chinese-alpaca-2-13b along with their corresponding 16k and...
When the fine-tuning job is complete, you can deploy the fine-tuned model directly from the estimator, as shown in the following code. As part of the deploy settings, you can define the instance type you want to deploy the model on. For the fu...
Code Llama 2 fine-tuning supports a number of hyperparameters, each of which can impact the memory requirement, training speed, and performance of the fine-tuned model: epoch– The number of passes that the fine-tuning algorithm takes through the training dataset. Must be an integer greater th...
AA is the LLAMA component that per- forms intelligent management for the deployment, diagnosis, and reconfiguration of a service process. AA has the following responsibilities: (1) receive process The LLAMA Middleware Support for Accountable SOA 187 management requests from process administrators; (2)...
you can bring down the deployment by calling docker-compose down 您可以通过调用 docker-compose down...
llama-index-llms-deepinfra [0.1.2] fix(deepinfrallm): default max_tokens (#13998) llama-index-llms-vllm [0.1.8] correct __del__() Vllm (#14053) llama-index-packs-zenguard [0.1.0] Add ZenGuard llamapack (#13959) llama-index-readers-google [0.2.7] fix how class attribute...
First, a lack of deep emotional processing limits their ability to interpret nuanced emo- tional shifts over time—an essential requirement for effective therapeutic dialogue. Second, contextual incoherence often results in inconsistent and impersonal responses, reducing the effectiveness of long-term ...
First, a lack of deep emotional processing limits their ability to interpret nuanced emotional shifts over time—an essential requirement for effective therapeutic dialogue. Second, contextual incoherence often results in inconsistent and impersonal responses, reducing the effectiveness of long-term ...