Qwen2.5 14B Instruct 1M
Alibaba · 2025-01-27 · 14.8B parameters
Qwen2.5-14B-Instruct-1M is Alibaba's long-context version of Qwen2.5-14B-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 | 70.2 |
| Capability | 123.3 |
| GPQA - release-reported, subset unspecified | 39.9 |
| GSM8K | 94.8 |
| HumanEval | 88.4 |
| IFEval (prompt-level strict accuracy) | 84.3 |
| LiveBench 2024-08-31 | 44.6 |
| LiveCodeBench - May 2023 to September 2024 | 38.6 |
| MATH | 79.5 |
| MBPP | 80.2 |
| MMLU Pro | 63.3 |
| MMLU-Redux | 80.7 |
| MT-Bench | 8.9 |
| MultiPL-E (HumanEval, 8-language average) | 77.1 |
| RULER - 128K | 92.2 |
| RULER - 16K | 94.6 |
| RULER - 32K | 94.9 |
| RULER - 4K | 97.5 |
| RULER - 64K | 94.9 |
| RULER - 8K | 97.1 |
| RULER (4K-128K average) | 95.7 |