This is OpenLLaMA 3B V2 finetuned on Puffin for 1 epochs.
Prompt template:
### HUMAN:
{prompt}
### RESPONSE:
<leave a newline for the model to answer>
GGML quants available here.
GPTQ quants available here.
Note: Don't expect this model to be good, I was just starting out to finetune. So don't roast me please!
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 41.13 |
| ARC (25-shot) | 41.81 |
| HellaSwag (10-shot) | 72.3 |
| MMLU (5-shot) | 26.36 |
| TruthfulQA (0-shot) | 38.33 |
| Winogrande (5-shot) | 67.01 |
| GSM8K (5-shot) | 0.99 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 41.13 |
| AI2 Reasoning Challenge (25-Shot) | 41.81 |
| HellaSwag (10-Shot) | 72.30 |
| MMLU (5-Shot) | 26.36 |
| TruthfulQA (0-shot) | 38.33 |
| Winogrande (5-shot) | 67.01 |
| GSM8k (5-shot) | 0.99 |
- Downloads last month
- 1,510
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 acrastt/Griffin-3B
Dataset used to train acrastt/Griffin-3B
Spaces using acrastt/Griffin-3B 21
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard41.810
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard72.300
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard26.360
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard38.330
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard67.010
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.990