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Text Generation WebUI

The "A1111 for LLMs" — multi-loader local chat UI.

Open Source 6–24 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyAPI
Visit Text Generation WebUIUpdated 2026-04-26 · Direct link

Hardware requirements

Runs locally · High-end GPU (16–24 GB)

6–24 GB VRAM
Min VRAM
6 GB
Rec. VRAM
24 GB
Min RAM
16 GB
Rec. RAM
64 GB
Disk
100 GB
GPU class
High-end GPU
CUDA recommended; MetalApple Silicon ✓CPU-CapableQuant: GGUF, EXL2, AWQ +2

EXL2 on 24 GB cards is the sweet spot for 70B Q3.

Screenshot placeholder · Text Generation WebUI

What is Text Generation WebUI?

Oobabooga's gradio UI for local LLMs. Supports llama.cpp, ExLlamaV2, Transformers, and more. The go-to power-user chat front-end for hobbyists running quantized 70B models on consumer GPUs.

Pros & cons

Pros

  • Switches between every loader (GGUF, EXL2, HF)
  • Tons of community extensions
  • Best place to use EXL2 quants

Cons

  • Gradio UI feels heavy
  • Setup more complex than Ollama

What's actually free?

Free / OSS.

✓ Actually FreeNo SignupOpen SourceWatermark-Free

Alternatives

Ollama

One-command local LLM runtime.

Open SourceCPU-capable
Actually FreeNo SignupOpen SourceWatermark-Free

LM Studio

Desktop GUI for running local LLMs.

FreemiumCPU-capable
Actually FreeNo SignupWatermark-FreeHobbyist-Friendly