DeepSeek R1 Distill Qwen 32B

Name: DeepSeek R1 Distill Qwen 32B
Author: DeepSeek

by DeepSeekQwen

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released January 2025131K context≈ 98,304 words32.8B params

A methodical reasoner that thinks out loud before committing to answers, inheriting R1's chain-of-thought style in a more accessible 32B package. It handles complex math, logic, and coding problems with visible step-by-step deliberation, making its reasoning process transparent and easy to follow. The distillation process means it occasionally lacks the raw depth of its larger parent, but it runs on consumer-grade hardware where the full R1 cannot.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Exceptional

Factual Knowledge

DeepSeek R1 Distill Qwen 32B

by DeepSeekQwen

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released January 2025131K context≈ 98,304 words32.8B params

A methodical reasoner that thinks out loud before committing to answers, inheriting R1's chain-of-thought style in a more accessible 32B package. It handles complex math, logic, and coding problems with visible step-by-step deliberation, making its reasoning process transparent and easy to follow. The distillation process means it occasionally lacks the raw depth of its larger parent, but it runs on consumer-grade hardware where the full R1 cannot.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Exceptional

Factual Knowledge

Glossary

Chain-of-ThoughtA reasoning technique where an AI model shows its step-by-step thinking process before arriving at a final answer, making its logic transparent and verifiable.DistillationA technique that compresses a large, complex model into a smaller one by training it to mimic the larger model's behavior, resulting in faster inference with minimal loss of quality.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ProcessAn internal step where the model thinks through a problem before generating its final answer, allowing it to work through complex logic more carefully.

DeepSeek R1 Distill Qwen 32B

Capabilities

DeepSeek R1 Distill Qwen 32B

Capabilities

Benchmark Scores

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Glossary