Model Detail

Qwen2.5-3B-Instruct is a large language model with 3B parameters released by Qwen. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under a other license.

Open-LLM-Leaderboard scoring places it at MMLU-Pro 25, GPQA 3, IFEval 65, BBH 26, giving a sense of how it handles instruction following, reasoning, and graduate-level QA in absolute terms.

Qwen2.5-3B-Instruct ships as a Qwen2ForCausalLM / 💬 chat models (RLHF, DPO, IFT, ...) architecture with 3B parameters. Total weight footprint is approximately 3.1 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

Downloads of Qwen2.5-3B-Instruct have moved +19.5% over the trailing seven days, +46.8% over the trailing thirty days. The trend is mildly positive, consistent with a model that is being picked up incrementally rather than going viral. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Qwen2.5-3B-Instruct is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.