MOLAR 10.7B
Q-LoRA fine-tuned on kyujinpy/Sakura-SOLAR-Instruct with meta-math/MetaMathQA
Adapter model and normal model is available, you can download with both styles.
You must use this prompt style.
### Query: <query>
### Response: <response>
Loss Curve:
Open LLM Leaderboard Evaluation Results
Detailed results will be found Here
| Metric | Value |
|---|---|
| Avg. | |
| ARC (25-shot) | |
| HellaSwag (10-shot) | |
| MMLU (5-shot) | |
| TruthfulQA (0-shot) | |
| Winogrande (5-shot) | |
| GSM8K (5-shot) |
- Downloads last month
- 0
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 Q-bert/MOLAR-10.7B
Base model
kyujinpy/Sakura-SOLAR-Instruct