Model Detail

Qwen2.5-1.5B-Instruct is a large language model with 1.5B parameters released by Qwen. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive apache-2.0 license.

Open-LLM-Leaderboard scoring places it at MMLU-Pro 20, GPQA 1, IFEval 45, BBH 20, giving a sense of how it handles instruction following, reasoning, and graduate-level QA in absolute terms.

Qwen2.5-1.5B-Instruct ships as a Qwen2ForCausalLM / 💬 chat models (RLHF, DPO, IFT, ...) architecture with 1.5B parameters. Total weight footprint is approximately 1.5 GB, which is the relevant figure when planning local-inference VRAM. The apache-2.0 license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Downloads of Qwen2.5-1.5B-Instruct have moved +27.7% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. 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.

Qwen2.5-1.5B-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.