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
- 1,024
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
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