{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "hasso5703-dgx-spark-qwen38--analyze-long-documents-locally",
 "repo": "hasso5703/dgx-spark-qwen38",
 "repo_url": "https://github.com/hasso5703/dgx-spark-qwen38",
 "repo_slug": "hasso5703-dgx-spark-qwen38",
 "title": "Read long confidential files in one 1M-token window",
 "page_title": "How to read long confidential files in one 1M-token window with DGX Spark Qwen38",
 "summary": "Send a large document to the local 27B model with a 1M-token context.",
 "who": "An analyst, lawyer or researcher with long confidential files who cannot send them to a hosted model.",
 "problem": "Long files are split or summarized in pieces by most hosted tools, and confidential material should not leave the office.",
 "outcome": "A single long document is answered from the local Qwen3.8-27B lane with a 1M-token context.",
 "steps": [
  "Run the one-liner install on the DGX Spark: `curl -fsSL https://raw.githubusercontent.com/hasso5703/dgx-spark-qwen38/main/get.sh | bash`.",
  "Load the stock target, which is the default, with 1M context by default.",
  "Read docs/context-1m.md to check how the limit is fitted to your boot before sending very large files.",
  "Send the document through the OpenAI-compatible API with a question, and check the answer against a few passages you know. (inferred, check the README)"
 ],
 "agent_prompt": "Use the repo hasso5703/dgx-spark-qwen38 to send <document-path> to the local stock Qwen3.8-27B lane through its OpenAI-compatible API. Expected output: a summary and answers to three questions about the file, generated on the box. Verify that three answers match passages you have checked by hand.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "2 hours",
 "basis": "readme",
 "caveat": "The README says the 1M context is fitted to each boot, so very large inputs may need the limits in docs/context-1m.md checked first.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "A DGX Spark or another GB10 box such as the ASUS Ascent GX10 (the README's reference box)",
  "A terminal on the box, or SSH access to it",
  "Internet access for the install and model downloads",
  "A client on a laptop or phone for the cockpit, if you want to use it remotely"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/hasso5703-dgx-spark-qwen38/analyze-long-documents-locally/",
 "md": "https://dedupedai.com/use-cases/hasso5703-dgx-spark-qwen38/analyze-long-documents-locally/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/hasso5703-dgx-spark-qwen38--analyze-long-documents-locally.json",
 "api_version": "v1"
}