UTENA-7B-V3
UTENA-7B-V3 is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: AI-B/UTENA-7B-UNA-V2
layer_range: [0, 32]
- model: AI-B/UTENA-7B-NSFW-V2
layer_range: [0, 32]
merge_method: slerp
base_model: AI-B/UTENA-7B-UNA-V2
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
Quanitized Models
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 67.42 |
| AI2 Reasoning Challenge (25-Shot) | 65.96 |
| HellaSwag (10-Shot) | 85.70 |
| MMLU (5-Shot) | 64.72 |
| TruthfulQA (0-shot) | 53.64 |
| Winogrande (5-shot) | 80.27 |
| GSM8k (5-shot) | 54.21 |
- Downloads last month
- 997
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for AI-B/UTENA-7B-V3
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard65.960
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.700
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.720
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard53.640
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard80.270
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard54.210