DeepSeek R1 Distill Qwen 7B

Name: DeepSeek R1 Distill Qwen 7B
Author: DeepSeek

by DeepSeekQwen

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

Released January 2025131K context≈ 98,304 words7.6B params

A compact reasoning model that punches above its weight by inheriting distilled thinking patterns from DeepSeek R1. It works through problems step-by-step, often showing its chain-of-thought before landing on an answer. At 7.6B parameters, it trades some accuracy on complex multi-step problems for a much smaller footprint — expect solid logical reasoning but occasional stumbles on harder math or nuanced tasks.

Capabilities

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

Long Context

Exceptional

Creative Writing

DeepSeek R1 Distill Qwen 7B

by DeepSeekQwen

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

Released January 2025131K context≈ 98,304 words7.6B params

A compact reasoning model that punches above its weight by inheriting distilled thinking patterns from DeepSeek R1. It works through problems step-by-step, often showing its chain-of-thought before landing on an answer. At 7.6B parameters, it trades some accuracy on complex multi-step problems for a much smaller footprint — expect solid logical reasoning but occasional stumbles on harder math or nuanced tasks.

Capabilities

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

Long Context

Exceptional

Creative Writing

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.DistilledA model that has been compressed by training a smaller model to mimic a larger, more capable model, reducing size and computational requirements while retaining performance.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ModelA model trained to show explicit step-by-step reasoning and problem-solving logic before producing final answers, rather than jumping directly to conclusions.Thinking PatternsThe characteristic way a model generates reasoning steps and intermediate outputs.

DeepSeek R1 Distill Qwen 7B

Capabilities

DeepSeek R1 Distill Qwen 7B

Capabilities

Benchmark Scores

Use Case Fit

Glossary