Run DeepSeek-R1 Distill Qwen on Android Offline

Choose the exact DeepSeek-R1 distilled checkpoint

“DeepSeek-R1 Distill Qwen” is not one file. The official DeepSeek organization has separate model records for DeepSeek-R1-Distill-Qwen-1.5B and DeepSeek-R1-Distill-Qwen-7B. Those exact names were visible on official source pages reviewed on October 8, 2026. The page fetch did not confirm a specific file list, quantization artifact, or Android runtime, so do not infer that an ordinary repository entry is a phone-ready download or a supported GGUF file.

The 1.5B and 7B labels are useful for rough storage planning, not performance claims. At an idealized four bits per parameter, the raw-weight arithmetic is about 0.75 GB and 3.5 GB in decimal units. Those are theoretical floors, not official file sizes and not RAM minimums. Quantization metadata, runtime buffers, Android processes, and the context/KV cache add to memory use. No handset results or same-device benchmark logs were provided for this page.

Keep model identity separate from mobile compatibility

Before downloading, record the complete repository name and inspect the live file list, prompt format, and license terms. A variant labeled “Distill-Qwen” is not automatically interchangeable with a separate Qwen checkpoint. The current OfflineGPT Android catalog was not confirmed to include either DeepSeek variant. Check the catalog before installing or planning an offline trip.

Use our Android local-model overview for mobile setup context, the GGUF file-format explainer for format terminology, and the offline AI FAQ for a no-signal checklist. An existing published general DeepSeek phone guide covers the broader topic; this pending page is narrowed to the named distilled 1.5B and 7B checkpoints and their verification limits.

A model name is not a phone test

Two separate official records

The 1.5B and 7B Distill-Qwen names resolve to separate official DeepSeek model pages. Use the full identifier when checking the file, prompt template, and terms.

Format still needs confirmation

This review could not confirm exact weight filenames or a vendor-provided Android package from the source pages fetched. Do not treat an unverified conversion as a first-party mobile release.

No phone result is claimed

There are no same-device timings, RAM readings, or battery logs here. The four-bit figures are arithmetic planning floors only, not proof that either model fits a particular phone.

Test DeepSeek offline on the phone you will carry

Get started in three simple steps

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1. Pin down the 1.5B or 7B record

Open the official DeepSeek page and write down the entire repository name. Check the live files and terms instead of relying on a shortened search result or a renamed conversion.

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2. Confirm app and file compatibility

Verify that your chosen Android runtime accepts the exact architecture, file, tokenizer, and prompt template. OfflineGPT’s current catalog was not verified for these checkpoints in this review.

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3. Run a repeatable no-signal trial

Download and load the chosen artifact, then turn off Wi-Fi and mobile data. Reuse fixed prompts and note startup, memory behavior, output timing, battery change, and device heat without comparing different settings.

Can I use DeepSeek-R1-Distill-Qwen without internet on Android?
A local setup can work without a connection after the exact model artifact and compatible Android runtime are installed, but compatibility must be checked first. This review confirmed official model records, not support in OfflineGPT’s current catalog.
Are the 1.5B and 7B files officially available as GGUF?
The official source pages fetched here confirmed the two model records but did not provide a readable file inventory that verifies a specific GGUF file. Check the live repository before choosing a format; do not infer one from the model name.
How much phone RAM is required?
No tested phone minimum is available. Idealized four-bit weight arithmetic gives about 0.75 GB for 1.5B and 3.5 GB for 7B, but these are raw-weight planning floors. Runtime memory, Android, buffers, and context cache add more.
Have these variants been benchmarked on an Android phone?
No verified handset logs were supplied. This guide makes no speed, latency, RAM, battery, or device-specific claims. Use the test protocol above and report the exact phone, app, file, quantization, and settings if you compare results.

Check your Android model catalog before you go offline