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suayptalha/Clarus-7B-v0.1
Clarus-7B-v0.1 is a text generation model from suayptalha. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
This is a merge of pre-trained language models created using mergekit.
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From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: gz987/qwen2.5-7b-cabs-v0.3
layer_range: [0, 28]
- model: gz987/qwen2.5-7b-cabs-v0.4
layer_range: [0, 28]
merge_method: slerp
base_model: gz987/qwen2.5-7b-cabs-v0.3
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.71 |
| IFEval (0-Shot) | 74.54 |
| BBH (3-Shot) | 36.03 |
| MATH Lvl 5 (4-Shot) | 49.24 |
| GPQA (0-shot) | 7.61 |
| MuSR (0-shot) | 15.17 |
| MMLU-PRO (5-shot) | 37.64 |
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