|
--- |
|
license: apache-2.0 |
|
language: |
|
- en |
|
--- |
|
|
|
# Model Card |
|
|
|
### Model Description |
|
|
|
Mistral 7B fine-tuned using OpenChat + ShareGPT datasets for multi-turn conversations. |
|
|
|
- **Developed by:** l3utterfly |
|
- **Funded by:** Layla Network |
|
- **Model type:** Mistral |
|
- **Language(s) (NLP):** English |
|
- **License:** Apache-2.0 |
|
- **Finetuned from model:** Mistral 7B |
|
|
|
## Uses |
|
|
|
Base model used by Layla - the offline personal assistant: https://www.layla-network.ai |
|
|
|
Prompt: |
|
``` |
|
User: |
|
Assistant: |
|
``` |
|
|
|
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_l3utterfly__mistral-7b-v0.1-layla-v1) |
|
|
|
| Metric | Value | |
|
|-----------------------|---------------------------| |
|
| Avg. | 55.05 | |
|
| ARC (25-shot) | 60.15 | |
|
| HellaSwag (10-shot) | 83.25 | |
|
| MMLU (5-shot) | 60.31 | |
|
| TruthfulQA (0-shot) | 48.9 | |
|
| Winogrande (5-shot) | 75.93 | |
|
| GSM8K (5-shot) | 16.83 | |
|
| DROP (3-shot) | 40.01 | |
|
|