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Gemma-2-Ataraxy-v4b-9B
lemon07r/Gemma-2-Ataraxy-v4b-9B
Gemma-2-Ataraxy-v4b-9B is a text generation model from lemon07r. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
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491
Public
Parameters
10.2B
20.3 GB on disk
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2
Public
Repo makeup
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.safetensors20.3 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gemma2
- Access
- Public
- Created
- Oct 16, 2024
- Updated
- Oct 24, 2024
- SHA
- 8215c5f0
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Base models
Model card
From the Hugging Face model README
Gemma-2-Ataraxy-v4b-9B
This is a merge of pre-trained language models created using mergekit.
Leaderboard Results
Bugged?
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: lemon07r/Gemma-2-Ataraxy-v3b-9B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
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
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 31.05 |
| IFEval (0-Shot) | 68.78 |
| BBH (3-Shot) | 43.44 |
| MATH Lvl 5 (4-Shot) | 8.84 |
| GPQA (0-shot) | 12.08 |
| MuSR (0-shot) | 15.87 |
| MMLU-PRO (5-shot) | 37.30 |
- Task
- Text Generation
- Library
- transformers
- Type
- gemma2
- Created
- Oct 16, 2024
- Updated
- Oct 24, 2024