- [h2oai/h2ogpt](https://github.com/h2oai/h2ogpt) - Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/ - [continuedev/continue](https://...
It also includes a backend for integration with the NVIDIA Triton Inference Server; a production-quality system to serve LLMs. Models built with TensorRT-LLM can be executed on a wide range of configurations going from a single GPU to multiple nodes with multiple GPUs (using Tensor Parallelism ...
1.Open-source LLM: These are smallopen-source alternatives to ChatGPTthat can be run on your local machine. Some popular examples include Dolly, Vicuna,GPT4All, andllama.cpp. These models are trained on large amounts of text and can generate high-quality responses to user prompts. 2.Embedd...
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains component
pip install -U huggingface_hub#Set up mirror acceleration#LinuxexportHF_ENDPOINT="https://hf-mirror.com"#Windows PowerShell$env:HF_ENDPOINT="https://hf-mirror.com"huggingface-cli download --resume-download Linly-AI/Chinese-LLaMA-2-7B-hf --local-dir Linly-AI/Chinese-LLaMA-2-7B-hf ...
To run ``mlc_llm``, you can specify the Huggingface MLC prebuilt model repo path with the prefix ``HF://``. For example, to run the MLC Llama 2 7B Q4F16_1 model (`Repo link <https://huggingface.co/mlc-ai/Llama-2-7b-chat-hf-q4f16_1-MLC>`_), simply use ``HF://mlc-ai...
- [ictnlp/BayLing](https://github.com/ictnlp/BayLing) - “百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型,具有优越的英语/中文能力,在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capab...
Models built with TensorRT-LLM can be executed on a wide range of configurations going from a single GPU to multiple nodes with multiple GPUs (using Tensor Parallelism and/or Pipeline Parallelism).The Python API of TensorRT-LLM is architectured to look similar to the PyTorch API. It provides ...
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains component
Many more models than BLOOM are implemented in TensorRT-LLM. They can be found in the examples directory.Beyond local execution, you can also use the NVIDIA Triton Inference Server to create a production-ready deployment of your LLM as described in this blog....