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Open weightsDeepSeek/10 trustVerified
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DeepSeek-R1-Distill-Qwen-7B

7B reasoning model distilled from DeepSeek-R1 with visible chain of thought.

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About

DeepSeek-R1-Distill-Qwen-7B is a 7-billion-parameter reasoning model released by DeepSeek on January 20, 2025, alongside the R1 launch. It distills the reasoning patterns of the 671B DeepSeek-R1 into Qwen2.5-7B using 800K curated reasoning samples, producing a small model that emits an explicit <think> chain before its answer.

It was one of six distilled variants that brought R1-style test-time reasoning to consumer hardware, and it became a standard baseline for local reasoning agents. The weights carry the permissive MIT license, allowing commercial use, modification, and further distillation.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

January 20, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

reasoningmathcodelocal-agents

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 130; Trending score 86/100 from researcher assessment.

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Sources