Instruction-tuned Qwen2.5 7B
According to the model card, this is the instruction-tuned 7B Qwen2.5 model covering pretraining and post-training, with hub tags recording Qwen/Qwen2.5-7B as the base.
Open Source Model Profile · Qwen
Qwen2.5-7B-Instruct
Qwen2.5-7B-Instruct is a 7.62B-parameter Qwen2 instruction-tuned text-generation model from Qwen with documented long-context support.
- Publisher
- Qwen
- Task
- text-generation
- Model type
- qwen2
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
Qwen2.5-7B-Instruct is published by Qwen as an instruction-tuned Qwen2 text-generation model. The captured configuration identifies Qwen2ForCausalLM and Safetensors metadata reports 7,615,616,512 parameters. According to the model card, it belongs to the Qwen2.5 series spanning 0.5B to 72B parameters with stronger coding, math, instruction-following, and long-context behavior.
Recorded capabilities
Long-context record
According to the model card, context reaches 131,072 tokens with up to 8192 tokens of generation.
Structured output support
According to the model card, the model handles structured data such as tables and generates structured outputs including JSON.
Documented chat and vLLM use
According to the model card, a chat-template snippet and vLLM documentation reference are provided for deployment.
Use cases in the source record
- Instruction-following chat and long-text generation using the documented chat-template workflow.
- Structured-output and role-play chatbot work using the card's documented JSON generation and system-prompt handling.
Limitations and unknowns
- No extracted benchmark scores were included in this record despite an eval-results tag; comparative performance is unknown.
- GPU-memory and throughput detail is referenced only as an external link in the model card and was not extracted.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: Qwen/Qwen2.5-7B-Instruct
Captured: Unknown. Processed: 2026-09-07T19:34:35.818854+00:00.
Qwen2.5-7B-Instruct Introduction Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: Significantly more knowledge and has greatly improved capabilities in coding and mathematics , thanks to our specialized expert models in these domains. Significant improvements in instruction following , generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient…
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