Qwen
Collection
Alibaba Cloud-based models
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900 items
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Updated
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3
Merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Quant: https://huggingface.co/Triangle104/Minerva-1.5b_V0.2-Q4_K_M-GGUF
Merge Method
This model was merged using the TIES merge method using Spestly/Athena-1-1.5B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Spestly/Athena-1-1.5B
#no parameters necessary for base model
- model: EVA-UNIT-01/EVA-Qwen2.5-1.5B-v0.0
parameters:
density: 0.5
weight: 0.5
- model: huihui-ai/Qwen2.5-1.5B-Instruct-abliterated
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: Spestly/Athena-1-1.5B
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 14.78 |
| IFEval (0-Shot) | 30.83 |
| BBH (3-Shot) | 14.99 |
| MATH Lvl 5 (4-Shot) | 9.97 |
| GPQA (0-shot) | 4.70 |
| MuSR (0-shot) | 6.97 |
| MMLU-PRO (5-shot) | 21.23 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard30.830
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard14.990
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard9.970
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.700
- acc_norm on MuSR (0-shot)Open LLM Leaderboard6.970
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard21.230