Desktop app for running local LLMs with vision, tool-calling, and APIs.
Run private models with multiple backends, vision, and tool-calling support.
Textgen is an open-source desktop application that lets you run and interact with large language models locally on your own hardware. It is ideal for professionals seeking a fully private, offline interface for text generation, translation, and model experimentation.
The application provides a unified interface and OpenAI/Anthropic-compatible API for various model backends including llama.cpp and Transformers. It supports multi-turn chat, vision tasks with image attachments, document parsing, custom tool-calling via Python files, and LoRA fine-tuning.
It suits developers, translators, and writers who need strict data privacy and want to test or run local GGUF and safetensors models. It does not suit users looking for a zero-setup cloud service or those without compatible GPU hardware.
Switch between llama.cpp, Transformers, ExLlamaV3, and TensorRT-LLM without restarting.
Attach images, PDFs, and Word documents to chat messages for multimodal analysis.
Use local endpoints with Chat, Completions, and tool-calling support as a drop-in replacement.
Fine-tune LoRAs on multi-turn chat or raw text datasets directly within the application.
The software is free under its open-source license. The only cost is running it on your own hardware or renting compatible GPU instances.
768 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
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