Model Stock: All we need is just a few fine-tuned models
Paper • 2403.19522 • Published • 14
llama-3-spicy-abliterated-stella-8B
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 nbeerbower/llama-3-spicy-8B as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/llama-3-stella-8B
- saishf/Aura-Uncensored-OAS-8B-L3
- cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/llama-3-stella-8B
- model: saishf/Aura-Uncensored-OAS-8B-L3
- model: cognitivecomputations/Llama-3-8B-Instruct-abliterated-v2
merge_method: model_stock
base_model: nbeerbower/llama-3-spicy-8B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.27 |
| AI2 Reasoning Challenge (25-Shot) | 65.19 |
| HellaSwag (10-Shot) | 81.98 |
| MMLU (5-Shot) | 67.88 |
| TruthfulQA (0-shot) | 53.65 |
| Winogrande (5-shot) | 76.48 |
| GSM8k (5-shot) | 70.43 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.190
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard81.980
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard67.880
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard53.650
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard76.480
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard70.430