BenchmarksToday
Qwen/Qwen2.5-14B-Instruct — Open LLM Leaderboard #173
Avg: 41.3 | IFEval: 81.6 | BBH: 48.4 | MATH: 54.8 | GPQA: 9.6 | MMLU-PRO: 43.4
View sourceQwen
Qwen2.5-14B-Instruct is a open-weight Qwen llm model with a 131,072 token context window.
Running this yourself: desktop gpu should be enough.
39.4
Quality Score
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Arena ELO
15B
Parameters
131K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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2.8M
Downloads
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Sep 2024
Released
4/5 signals
3/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
Benchmarks
2
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Avg: 41.3 | IFEval: 81.6 | BBH: 48.4 | MATH: 54.8 | GPQA: 9.6 | MMLU-PRO: 43.4
View sourceAvg: 41.6 | IFEval: 81.4 | BBH: 48.6 | MATH: 55.3 | GPQA: 10.5 | MMLU-PRO: 43.2
View sourceAvg: 41.3 | IFEval: 81.6 | BBH: 48.4 | MATH: 54.8 | GPQA: 9.6 | MMLU-PRO: 43.4
Qwen2.5-14B-Instruct is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
View sourceAvg: 41.6 | IFEval: 81.4 | BBH: 48.6 | MATH: 55.3 | GPQA: 10.5 | MMLU-PRO: 43.2
Qwen2.5-14B-Instruct is now available through local Ollama runtime. 32K context window listed. Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.