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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

BenchmarkScore
Arena-Hard-Auto v0.148.1
Capability115.8
GPQA - release-reported, subset unspecified41.4
GSM8K91.7
HumanEval86.0
IFEval (prompt-level strict accuracy)73.0
LiveBench 2024-08-3135.2
LiveCodeBench - May 2023 to September 202428.0
MATH72.9
MBPP75.9
MMLU Pro54.3
MMLU-Redux74.8
MT-Bench8.3
MultiPL-E (HumanEval, 8-language average)72.4
RULER - 128K84.4
RULER - 16K93.0
RULER - 32K91.1
RULER - 4K96.8
RULER - 64K90.4
RULER - 8K95.3
RULER (4K-128K average)91.8
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