Qwen2.5 7B Instruct 1M
Alibaba · 2025-01-27 · 7.6B parameters
Qwen2.5-7B-Instruct-1M is Alibaba's long-context version of Qwen2.5-7B-Instruct, released in January 2025 with the Qwen2.5-1M technical report. It was trained with progressive long-context pretraining and multi-stage fine-tuning and supports contexts of up to 1,010,000 tokens using dual chunk attention and sparse attention in Qwen's vLLM-based inference framework.
Benchmark scores
| Benchmark | Score |
|---|---|
| Arena-Hard-Auto v0.1 | 48.1 |
| Capability | 115.8 |
| GPQA - release-reported, subset unspecified | 41.4 |
| GSM8K | 91.7 |
| HumanEval | 86.0 |
| IFEval (prompt-level strict accuracy) | 73.0 |
| LiveBench 2024-08-31 | 35.2 |
| LiveCodeBench - May 2023 to September 2024 | 28.0 |
| MATH | 72.9 |
| MBPP | 75.9 |
| MMLU Pro | 54.3 |
| MMLU-Redux | 74.8 |
| MT-Bench | 8.3 |
| MultiPL-E (HumanEval, 8-language average) | 72.4 |
| RULER - 128K | 84.4 |
| RULER - 16K | 93.0 |
| RULER - 32K | 91.1 |
| RULER - 4K | 96.8 |
| RULER - 64K | 90.4 |
| RULER - 8K | 95.3 |
| RULER (4K-128K average) | 91.8 |