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Model Detail

Qwen logo

Qwen2.5-0.5B-Instruct

—
Provider: QwenCategory: llmPipeline: text-generationParameters: 0.5B
DB Score
5.3
Downloads
6.1M
Likes
478
Day
+0.0%
Week
+0.0%
Month
+0.0%
Overview

Qwen2.5-0.5B-Instruct is a large language model with 0.5B parameters released by Qwen. The model is registered under the text-generation pipeline tag on Hugging Face.

Performance

Open-LLM-Leaderboard scoring places it at MMLU-Pro 8, GPQA 1, IFEval 32, BBH 8, giving a sense of how it handles instruction following, reasoning, and graduate-level QA in absolute terms.

How we score this →
Technical

Qwen2.5-0.5B-Instruct ships as a Qwen2ForCausalLM / 💬 chat models (RLHF, DPO, IFT, ...) architecture with 0.5B parameters.

Use Cases

Qwen2.5-0.5B-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.

Download History
Research Paper
arXiv: 2407.10671→
Benchmark Scores
IFEval
31.5
BBH
8.2
GPQA
1.2
MMLU-Pro
8.0
MATH
10.3
MUSR
1.4
Average
10.1
Model Info
ArchitectureQwen2ForCausalLM
Type💬 chat models (RLHF, DPO, IFT, ...)
Citations2,088 (257 influential)
Recent newsView all news →
Related News
arxivneutral52d ago

Tuning Qwen2.5-VL to Improve Its Web Interaction Skills

arXiv:2604.09571v1 Announce Type: cross Abstract: Recent advances in vision-language models (VLMs) have sparked growing interest in using them to automate web tasks, yet their feasibility as independent agents that reason and act purely from visual input remains underexplored. We investigate this se

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