{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "mw00-project-maya--run-deepseek-v4-with-images",
 "repo": "mw00/project-maya",
 "repo_url": "https://github.com/mw00/project-maya",
 "repo_slug": "mw00-project-maya",
 "title": "Run DeepSeek-V4.1-Flash locally with picture input",
 "page_title": "How to run DeepSeek-V4.1-Flash locally with picture input with Project Maya",
 "summary": "Set up DeepSeek-V4.1-Flash-1017 on your GPUs and include vision support for images.",
 "who": "An engineer with a multi-GPU or large-memory machine who wants a second frontier-class model and needs image understanding.",
 "problem": "Few open models of this size run on personal hardware, and many do not handle pictures.",
 "outcome": "A local DeepSeek-V4.1-Flash-1017 server that answers text and picture prompts, with its own numbers in the monitor.",
 "steps": [
  "Run `./setup.sh --model DeepSeek-V4.1-Flash-1017` to set up the DeepSeek engine (maya-ds4).",
  "Leave vision on for the GGUF files, since the setup fetches DeepSeek's vision tower; use `--no-vision` only if you want to skip it.",
  "Run `./maya.sh --bench` to measure speed on your GPUs.",
  "Send one request that includes an image and check the answer describes the picture. (inferred, check the README)"
 ],
 "agent_prompt": "Use the GitHub repo mw00/project-maya. On <target machine>, run ./setup.sh --model DeepSeek-V4.1-Flash-1017 and then ./maya.sh --bench. Expected output: benchmark numbers for the DeepSeek model and a successful image-plus-text answer. Verify that the vision component loaded (the setup should report it) before counting the test as passed.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "4 hours",
 "basis": "readme",
 "caveat": "The README says the GGUF files total 340 GB or more, so this setup needs a large NVMe SSD and enough RAM plus VRAM before the first run.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "c++",
 "requirements": [
  "A PC with one or more NVIDIA or AMD GPUs, running Linux or Windows (AMD and Windows are marked experimental in the README)",
  "Enough combined RAM, VRAM and NVMe SSD space for the model you pick (Maya-S is 96.5 GB; DeepSeek-V4.1-Flash-1017 GGUF files are 340 GB or more)",
  "Time and bandwidth to download the model files from Hugging Face",
  "A terminal to run ./setup.sh"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [
  {
   "tag": "reverse-engineering",
   "notice": "The DeepSeek-V4.1-Flash-1017 GGUF files and the optional DSpark drafter are large third-party or repo-hosted model weights, so verify checksums and licenses before relying on them."
  }
 ],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/mw00-project-maya/run-deepseek-v4-with-images/",
 "md": "https://dedupedai.com/use-cases/mw00-project-maya/run-deepseek-v4-with-images/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/mw00-project-maya--run-deepseek-v4-with-images.json",
 "api_version": "v1"
}