DeepSeek R1 Distill Qwen 14B

Name: DeepSeek R1 Distill Qwen 14B
Author: DeepSeek

by DeepSeekQwen

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

Released January 2025131K context≈ 98,304 words14.8B params

A compact reasoning model that thinks out loud before answering — it works through problems step by step, showing its chain of thought rather than jumping straight to conclusions. Distilled from DeepSeek R1 into a Qwen backbone, it punches above its weight on logic and math tasks for its size, though it can occasionally over-explain simple questions. It trades raw breadth for deliberate, structured reasoning.

Capabilities

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

Long Context

Strong

Reasoning & Logic

DeepSeek R1 Distill Qwen 14B

by DeepSeekQwen

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

Released January 2025131K context≈ 98,304 words14.8B params

A compact reasoning model that thinks out loud before answering — it works through problems step by step, showing its chain of thought rather than jumping straight to conclusions. Distilled from DeepSeek R1 into a Qwen backbone, it punches above its weight on logic and math tasks for its size, though it can occasionally over-explain simple questions. It trades raw breadth for deliberate, structured reasoning.

Capabilities

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

Long Context

Strong

Reasoning & Logic

Glossary

BackboneThe core language model architecture that forms the foundation of a larger system, in this case Llama 3.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.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.Structured ReasoningThe ability to follow logical steps and rules systematically to solve problems, often involving breaking down complex tasks into smaller, ordered components.

DeepSeek R1 Distill Qwen 14B

Capabilities

DeepSeek R1 Distill Qwen 14B

Capabilities

Benchmark Scores

Use Case Fit

Glossary