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liltom-eth avatar

liltom-eth/llama2-webui

0
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1,938 stars·203 forks·Jupyter Notebook·MIT·1 view

Llama2 Webui

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use llama2-wrapper as your local llama2 backend for Generative Agents/Apps.

Features

  • Large Language Models - Gradio-based web interface for running Llama 2 on local hardware.

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Frequently asked questions

What does liltom-eth/llama2-webui do?

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use llama2-wrapper as your local llama2 backend for Generative Agents/Apps.

What are the main features of liltom-eth/llama2-webui?

The main features of liltom-eth/llama2-webui are: Large Language Models.

What are some open-source alternatives to liltom-eth/llama2-webui?

Open-source alternatives to liltom-eth/llama2-webui include: airobotlab/kochatgpt. alisawuffles/ambient — Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et… allenai/mmc4 — MultimodalC4 is a multimodal extension of c4 that interleaves millions of images with text. antimatter15/alpaca.cpp — alpaca.cpp is a high-performance local inference engine implemented in C++ for executing instruction-tuned large… artidoro/qlora — This project is a quantized fine-tuning framework for large language models. It implements a low-rank adaptation… aigc-audio/audiogpt — AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural…

Open-source alternatives to Llama2 Webui

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    Code and data associated with the AmbiEnt dataset in "We're Afraid Language Models Aren't Modeling Ambiguity" (Liu et al., 2023)

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  • aigc-audio/audiogptAIGC-Audio avatar

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    AudioGPT is an LLM-driven audio framework and processing suite that uses large language models to orchestrate neural audio pipelines. It functions as a multimodal audio generator and processing system, integrating a collection of pretrained models to handle speech synthesis, sound generation, and audio manipulation. The system is distinguished by its ability to generate audio from diverse inputs, including text and images, and its capacity to produce synchronized talking head videos. It also operates as a neural speech translator, converting spoken language between different tongues while pre

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