Flavors of Flora
Collection
A collection of the different flavors of Flora.
•
3 items
•
Updated
•
2
Flora
Quants available here:
https://huggingface.co/bartowski/Flora_7B-GGUF
https://huggingface.co/bartowski/Flora_7B-exl2
https://huggingface.co/solidrust/Flora-7B-AWQ
Configuration
The following YAML configuration was used to produce this model:
merge_method: linear
models:
- model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
parameters:
weight: 1
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 74.26 |
| AI2 Reasoning Challenge (25-Shot) | 72.10 |
| HellaSwag (10-Shot) | 88.31 |
| MMLU (5-Shot) | 64.16 |
| TruthfulQA (0-shot) | 71.19 |
| Winogrande (5-shot) | 84.45 |
| GSM8k (5-shot) | 65.35 |
- Downloads last month
- 76
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.
Model tree for ResplendentAI/Flora_7B
Dataset used to train ResplendentAI/Flora_7B
Collection including ResplendentAI/Flora_7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.100
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.310
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.160
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard71.190
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard84.450
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard65.350