{
 "schema_version": 1,
 "generated": "2026-10-26",
 "id": "yanun0323-whallm--private-chat-with-large-model",
 "repo": "yanun0323/Whallm",
 "repo_url": "https://github.com/yanun0323/Whallm",
 "repo_slug": "yanun0323-whallm",
 "title": "Chat with a large model privately on your Mac",
 "page_title": "How to chat with a large model privately on your Mac with Whallm",
 "summary": "Use Whallm's built-in Chat window to ask a large local model questions without a hosted service.",
 "who": "A non-developer Mac owner who wants to chat with a large language model and keep their prompts on their own computer.",
 "problem": "Hosted chat tools send prompts to a company's servers, and the user wants a local option that does not require writing code.",
 "outcome": "The user gets answers in the Chat window from a model that runs on the Mac, including image input for Qwen models.",
 "steps": [
  "Download Whallm-macOS-arm64.zip from GitHub Releases, unzip it and open Whallm.app.",
  "Open Model, pick Qwen3.8 or another model that fits your memory and disk space, and select Download Model.",
  "Open Server and select Start Server.",
  "Open Chat, pick your model and type your first question. The model loads the first time you use it."
 ],
 "agent_prompt": "In the Whallm repo at yanun0323/Whallm, check the README's Supported models table and the Requirements section against this Mac's chip, macOS version, memory and free disk space for <model-name>. Report whether the model fits and which steps from the Quick start remain.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "2 hours",
 "basis": "readme",
 "caveat": "Whallm recommends 64 GiB of memory, and the README says actual use depends on the model and settings, so a smaller Mac may be slow or unable to run the larger models.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Apple Silicon Mac running macOS 15 or later",
  "64 GiB memory recommended, with more disk space than the chosen model's files (Qwen models about 118 to 119 GiB, DeepSeek V4.1 above 458 GiB)",
  "Fast internal, Thunderbolt or USB4 SSD",
  "Network access to download the Whallm release and model weights"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/yanun0323-whallm/private-chat-with-large-model/",
 "md": "https://dedupedai.com/use-cases/yanun0323-whallm/private-chat-with-large-model/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/yanun0323-whallm--private-chat-with-large-model.json",
 "api_version": "v1"
}