BenchmarksToday
CombinHorizon/Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES — Open LLM Leaderboard #131
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceCombinHorizon
This model was merged using the TIES merge method using Qwen/Qwen2.5-14B as a base.
Running this yourself: desktop gpu should be enough.
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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.
17 of 22 public signals
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80
Downloads
3
Likes
Dec 2024
Released
5/5 signals
2/4 signals
4/5 signals
3/4 signals
3/4 signals
Parameters
15B
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
Benchmarks
19
Open Source
1
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceAvg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceAvg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceAvg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceAvg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
View sourceAvg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Avg: 41.8 | IFEval: 82.4 | BBH: 48.2 | MATH: 53.2 | GPQA: 10.0 | MMLU-PRO: 44.2
Josiefied-abliteratedV4-Qwen2.5-14B-Inst-BaseMerge-TIES 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.