git clone https://github.com/ggerganov/llama.cpp cd llama.cpp mkdir build # I use make method because the token generating speed is faster than cmake method. # (Optional) MPI build make CC=mpicc CXX=mpicxx LLAMA_MPI=1 # (Optional) OpenBLAS build make LLAMA_OPENBLAS=1 # (Optional) ...
This solution was suggested in a similar issue in the LlamaIndex repository: Dimensionality of query embeddings does not match index dimensionality. As for adding data to ChromaDB using LlamaIndex, you can use the add method of the ChromaVectorStore class. This method takes a list of NodeWithE...
Your current environment vllm-0.6.4.post1 How would you like to use vllm I am using the latest vllm version, i need to apply rope scaling to llama3.1-8b and gemma2-9b to extend the the max context length from 8k up to 128k. I using this ...
Use the /v1/completions endpoint to send a prompt and receive a response. This endpoint generates a response to a simple text prompt. It’s straightforward and doesn’t involve a conversation context. Use this when you need a single, standalone output based on your input. Example: # Define...
description="The Hub commit to pull from", ) ) prompt.invoke({"question": "foo", "context": "bar"}) #在prompt中进行配置 prompt.with_config(configurable={"hub_commit": "rlm/rag-prompt-llama"}).invoke( {"question": "foo", "context": "bar"} ...
According to Meta’s examples, the models can analyze charts embedded in documents and summarize key trends. They can also interpret maps, determine which part of a hiking trail is the steepest, or calculate the distance between two points. Use cases of Llama vision models This integration of ...
As well as covering the skills and tools you need to master, we'll also explore how businesses can use AI to be more productive. Watch and learn more about the basics of AI in this video from our course. TL;DR: How to Learn AI From Scratch in 2025 If you're short on time and ...
In this tutorial, you will learn the following: *- Build an agentic RAG system with Claude 3.5 Sonnet Use MongoDB within an agentic RAG system as the memory provider Leverage LlamaIndex integration with Anthropic, MongoDB, and model providers to develop AI systems Develop AI agents with Llama...
In this section, you use the Azure AI model inference API with a chat completions model for chat. Tip The Azure AI model inference API allows you to talk with most models deployed in Azure AI Foundry portal with the same code and structure, including Meta Llama Instruct models - text-only...
Copy theREPLICATE_API_TOKENand store it safe for future use. The full source code is available in thisGitHub repository. Building the Chatbot First, create a Python file calledllama_chatbot.pyand an env file (.env). You will write your code in llama_chatbot.py and store your secret keys...