This model is a Slerp Merge of cookinai/CatMacaroni-Slerp and mncai/mistral-7b-dpo-v5.
Evaluation Results
HuggingFace Leaderboard
| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
|---|---|---|---|---|---|---|
| 73.1 | 69.62 | 87.09 | 64.81 | 62.82 | 81.45 | 72.78 |
The model did achieve an improvement in TruthfulQA over cookinai/CatMacaroni-Slerp and GSM8K over mncai/mistral-7b-dpo-v5
which was the goal of the merge leading to an average score that was a better than both. It is unclear why the TruthfulQA metric
is still meaningfully lower than the base mncai/mistral-7b-dpo-v5.
Training Details
.yaml file for mergekit
slices:
- sources:
- model: cookinai/CatMacaroni-Slerp
layer_range: [0, 32]
- model: mncai/mistral-7b-dpo-v5
layer_range: [0, 32]
merge_method: slerp
base_model: mncai/mistral-7b-dpo-v5
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 # fallback for rest of tensors
dtype: float16
Bias, Risks, and Limitations
The model has not been evaluated for safety and is only intended for research and experiments.