Qwen2.5-14B
Collection
CultriX Qwen2.5-14B Models.
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5 items
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Updated
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1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-14B as a base.
Models Merged
The following models were included in the merge:
- allknowingroger/Qwen2.5-slerp-14B
- tanliboy/lambda-qwen2.5-14b-dpo-test
- allknowingroger/Qwenslerp3-14B
- EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
- v000000/Qwen2.5-14B-Gutenberg-1e-Delta
- rombodawg/Rombos-LLM-V2.6-Qwen-14b
- Qwen/Qwen2.5-14B-Instruct
- v000000/Qwen2.5-Lumen-14B
- allknowingroger/Qwenslerp2-14B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-14B-Instruct
- model: Qwen/Qwen2.5-14B
- model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
- model: rombodawg/Rombos-LLM-V2.6-Qwen-14b
- model: allknowingroger/Qwenslerp2-14B
- model: allknowingroger/Qwenslerp3-14B
- model: allknowingroger/Qwen2.5-slerp-14B
- model: v000000/Qwen2.5-Lumen-14B
- model: v000000/Qwen2.5-14B-Gutenberg-1e-Delta
- model: tanliboy/lambda-qwen2.5-14b-dpo-test
base_model: Qwen/Qwen2.5-14B
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-14B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.39 |
| IFEval (0-Shot) | 56.85 |
| BBH (3-Shot) | 51.01 |
| MATH Lvl 5 (4-Shot) | 27.34 |
| GPQA (0-shot) | 16.44 |
| MuSR (0-shot) | 17.85 |
| MMLU-PRO (5-shot) | 48.84 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard56.850
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard51.010
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard27.340
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.440
- acc_norm on MuSR (0-shot)Open LLM Leaderboard17.850
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard48.840