Code Issues1.5k Pull requests540 Discussions Actions Projects7 Security Insights Additional navigation options New issue Closed Description quanshr quanshr added usageHow to use vllm on Jul 18, 2024 quanshr cha
Your current environment python==3.8 vllm==0.5.4 transformers==4.44.0 torch==2.4.0 How would you like to use vllm I want to run inference of a Internvl2 8b with video source. I don't know how to integrate it with vllm. Before submitting ...
After setting up your local LLM model with LM Studio (as covered in my previous article), the next step is to interact with it programmatically using Python. This article will show you how to create a simple yet powerful Python interface for your local LLM. Step 1: Start Your Local LLM ...
Python is one of the most popular languages used in AI/ML development. In this post, you will learn how to useNVIDIA Triton Inference Serverto serve models within your Python code and environment using the newPyTriton interface. More specifically, you will learn how to prototype and test infe...
If you're eager to leverage ChatGPT in your daily workflows, but you're not sure how to start, you're in the right place. Here's everything you need to know about how to use ChatGPT. In this tutorial, we're focusing on the specific steps of how to use ChatGPT. If you're cu...
A beginner’s guide to forecast reconciliation Dr. Robert Kübler August 20, 2024 13 min read Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… ...
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) ...
openai_llm = ChatOpenAI(max_retries=0) anthropic_llm = ChatAnthropic() llm = openai_llm.with_fallbacks([anthropic_llm]) # Let's use just the OpenAI LLm first, to show that we run into an error with patch("openai.resources.chat.completions.Completions.create", side_effect=error): ...
Wait for it to load, and open it in your browser at http://127.0.0.1:8080. Enter the prompt, and you can use it like a normal LLM with a GUI. The complete Python program is given below: #Import necessary libraries import llamafile import transformers #Define the HuggingFace model name...
Jane has 2 apples. She bought 3 more. How many apples does she have in total? Expected Output: The answer is 5. The final output is just answering the last question in the input. However, LLMs can condition on the prior text in the input to get a hint of "what to do". Obv...