Qwen2.5 3B GRPO Math GSM8K

Qwen 2.5

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

Released June 202533K context≈ 24,576 words3B params

A compact math-focused model fine-tuned with reinforcement learning (GRPO) on grade-school math problems. It punches at a focused task rather than broad general knowledge, reflecting the trade-off of specialization: stronger on arithmetic reasoning within its training distribution, but narrower in scope than its base Qwen2.5 counterpart.

Capabilities

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

Multimodal

Moderate

Reasoning & Logic

Qwen2.5 3B GRPO Math GSM8K

Qwen 2.5

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

Released June 202533K context≈ 24,576 words3B params

A compact math-focused model fine-tuned with reinforcement learning (GRPO) on grade-school math problems. It punches at a focused task rather than broad general knowledge, reflecting the trade-off of specialization: stronger on arithmetic reasoning within its training distribution, but narrower in scope than its base Qwen2.5 counterpart.

Capabilities

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

Multimodal

Moderate

Reasoning & Logic

Glossary

Arithmetic ReasoningA model's ability to perform mathematical calculations and solve problems involving numbers and operations.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.GRPOGroup Relative Policy Optimization, a reinforcement learning algorithm for fine-tuning language models with reward signals.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reinforcement LearningA training method where a model learns by receiving rewards or penalties for its outputs, encouraging it to improve its behavior over time.Training DistributionThe range of topics, styles, and types of text a model was trained on; the model performs best on content similar to this distribution and may struggle outside it.

Capabilities

Capabilities

Use Case Fit

Glossary