Testing Might be broken
Collection
testing only models,
•
10 items
•
Updated
•
1
Another trial of merging models with different sizes, still under testing, should be more stable, but I have no ideia if it's improving or degrading the base model.
In this I changed something, to have more Westlake. Recipe:
merge_method: task_anysize
base_model: princeton-nlp/Sheared-LLaMA-2.7B-ShareGPT
models:
- model: senseable/WestLake-7B-v2
parameters:
weight: 1.0
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.18 |
| AI2 Reasoning Challenge (25-Shot) | 36.18 |
| HellaSwag (10-Shot) | 57.54 |
| MMLU (5-Shot) | 24.20 |
| TruthfulQA (0-shot) | 42.39 |
| Winogrande (5-shot) | 56.75 |
| GSM8k (5-shot) | 0.00 |
- Downloads last month
- 88
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.
Collection including Aryanne/sheared-plus-westlake-nearest-50_75p
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard36.180
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard57.540
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard24.200
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard42.390
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard56.750
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000