Llama2-Webui

Visit Tool

llama2-webui allows users to run Llama 2 models locally with a Gradio web UI on various operating systems. It supports different Llama 2 models and backends, including 8-bit and 4-bit inference.

Claim this tool

No Views Yet

At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is llama2-webui?

llama2-webui is an open-source tool designed for running Llama 2 models locally through a Gradio web UI. It offers broad compatibility, supporting all Llama 2 models (7B, 13B, 70B, GPTQ, GGML, GGUF, CodeLlama) and various backends like transformers, bitsandbytes (8-bit inference), AutoGPTQ (4-bit inference), and llama.cpp. The tool can be deployed on Linux, Windows, and Mac, utilizing either GPU or CPU resources. Developers can also leverage `llama2-wrapper` as a local Llama 2 backend for generative agents and applications, and it provides an OpenAI-compatible API for seamless integration with existing clients and libraries. Benchmarking scripts are included to evaluate performance on different devices.

Best used for

Ideal for developers and data scientists who need to run Llama 2 models on their local machines, integrate Llama 2 as a backend for generative agents, and benchmark model performance across different hardware configurations. Especially valuable for those seeking flexible, open-source solutions for LLM experimentation and application development.

Common actions

run LLM locally

develop AI applications

benchmark Llama 2 models

integrate Llama 2 API

face swappingautomated workflowworkflowscollaborationgithub copilotdeepfakeopen-source"AI Agents"low-code/no-code

Capabilities

Key features

Run Llama 2 locally
Gradio web UI
Supports various Llama 2 models
8-bit, 4-bit inference
OpenAI Compatible API
Benchmarking scripts

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What Llama 2 models are supported by llama2-webui?

llama2-webui supports a wide range of Llama 2 models, including 7B, 13B, 70B, GPTQ, GGML, GGUF, and CodeLlama. It also offers compatibility with 8-bit and 4-bit inference modes for optimized performance and memory usage.

Can I use llama2-webui as a backend for my own applications?

Yes, llama2-webui provides the `llama2-wrapper` library, which can be used as a local Llama 2 backend for generative agents and other applications. It also offers an OpenAI-compatible API for easy integration with existing clients and libraries.

What are the hardware requirements for running Llama 2 models with this tool?

Hardware requirements vary by model and precision. For example, running Llama-2-7b-Chat-GPTQ (4-bit) needs 6GB VRAM, while Llama-2-7b-chat.ggmlv3.q4_0 (4-bit) requires 6GB RAM. The tool supports both GPU and CPU execution across Linux, Windows, and Mac.

Trending

Subcategories trending in Coding & Development

Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

Trending

Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce