Qwen2-0.5B-Instruct

Model overview

Qwen2-0.5B-Instruct is published by 123-cao as a text-generation model. The captured configuration identifies Qwen2ForCausalLM with model type qwen2, and Safetensors metadata reports about 0.49B parameters. According to the model card, it contains the instruction-tuned 0.5B Qwen2 model, and hub tags link it to Qwen/Qwen2-0.5B.

Recorded capabilities

Use cases in the source record

• Conversational text-generation workflows using the publisher-documented chat-template format.
• Instruction-tuning experiments consistent with the publisher-described supervised fine-tuning and preference-optimization post-training.

Limitations and unknowns

• No context-window value was extracted from this record.
• No evaluation results were extracted in structured form; the comparison table in the model card is a publisher claim and was not independently verified.
• Provider state is historical snapshot data and should be refreshed before being presented as current.
• Series-level capability and training descriptions come from the publisher model card and describe the Qwen2 family generally.

Source and provenance

Source: 123-cao/Qwen2-0.5B-Instruct

Captured: Unknown. Processed: 2026-09-07T19:35:33.409670+00:00.

Qwen2-0.5B-Instruct Introduction Qwen2 is the new series of Qwen large language models. For Qwen2, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters, including a Mixture-of-Experts model. This repo contains the instruction-tuned 0.5B Qwen2 model. Compared with the state-of-the-art opensource language models, including the previous released Qwen1.5, Qwen2 has generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual…