qwen3 4b openthoughts 400k

Qwen 3

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

Released August 202341K context≈ 30,720 words4b params

A compact reasoning-focused model that thinks through problems step by step before responding. Built on Qwen 3's 4B parameter base and fine-tuned on OpenThoughts data with an extended 400k training context, it trades raw scale for deliberate, structured reasoning. Works well within its 40k token context window but may struggle with tasks requiring broader world knowledge that larger models carry.

Capabilities

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

Factual Knowledge

Moderate

Coding

qwen3 4b openthoughts 400k

Qwen 3

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

Released August 202341K context≈ 30,720 words4b params

A compact reasoning-focused model that thinks through problems step by step before responding. Built on Qwen 3's 4B parameter base and fine-tuned on OpenThoughts data with an extended 400k training context, it trades raw scale for deliberate, structured reasoning. Works well within its 40k token context window but may struggle with tasks requiring broader world knowledge that larger models carry.

Capabilities

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

Factual Knowledge

Moderate

Coding

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Fine-TunedA pre-trained model further trained on a smaller, task-specific dataset to improve performance on that task.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning-FocusedA model specifically trained to work through multi-step logical problems methodically rather than generating quick responses.Structured ReasoningThe ability to follow logical steps and rules systematically to solve problems, often involving breaking down complex tasks into smaller, ordered components.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.World KnowledgeA model's learned understanding of facts, concepts, and relationships about the real world, typically acquired during training on diverse text data.

Capabilities

Capabilities

Use Case Fit

Glossary