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QuantFactory/Gemma-2-Ataraxy-v4c-9B-GGUF
Gemma-2-Ataraxy-v4c-9B-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Downloads · 30 days
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3% of all-time downloads
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From the Hugging Face model README
This is quantized version of lemon07r/Gemma-2-Ataraxy-v4c-9B created using llama.cpp
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:
base_model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
dtype: bfloat16
merge_method: slerp
parameters:
t: 0.25
slices:
- sources:
- layer_range: [0, 42]
model: zelk12/recoilme-gemma-2-Ataraxy-9B-v0.1-t0.25
- layer_range: [0, 42]
model: lemon07r/Gemma-2-Ataraxy-v3b-9B
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 32.63 |
| IFEval (0-Shot) | 69.45 |
| BBH (3-Shot) | 44.13 |
| MATH Lvl 5 (4-Shot) | 17.98 |
| GPQA (0-shot) | 11.19 |
| MuSR (0-shot) | 15.30 |
| MMLU-PRO (5-shot) | 37.72 |