MyCaptionAI

Private Local AI Stack

6 connected tools

Set up a privacy-friendly local AI workflow for experimentation, document chat, and internal assistants. This is for visitors who want open models and local run…

Built aroundOpen Source (Llama / Mistral)

  1. Hugging Face Hub

    Step 01

    Choose candidate models

    Compare model cards, licenses, sizes, benchmarks, and community notes before downloading anything.

  2. Ollama

    Step 02

    Run the first local model

    Install Ollama, pull a small model, and test chat, summarization, and coding prompts locally.

  3. LM Studio

    Step 03

    Compare desktop model behavior

    Use LM Studio to load models, inspect performance, and expose a local server for app experiments.

  4. Open WebUI

    Step 04

    Create a team-facing interface

    Connect Open WebUI to the local backend so non-technical users can chat with approved models.

  5. llama.cpp

    Step 05

    Optimize low-level inference

    Use llama.cpp when the team needs GGUF, quantization, CPU/GPU backend tuning, or embedded inference.

  6. LocalAI

    Step 06

    Expose OpenAI-compatible APIs

    Use LocalAI when internal apps need OpenAI-style endpoints for private model serving.