license: cc-by-nc-4.0 | |
datasets: | |
- KnutJaegersberg/facehugger | |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/63732ebbbd81fae2b3aaf3fb/4OQkvAa1zOK4Devv-aUdL.png) | |
This model was fine tuned on AI filtered subsets of GPT-4 based subset of the Dolphin dataset and EvolInstruct V2. | |
It has not been explicitly aligned to positive, negative or bureaucratically prescribed value systems. | |
It might kill us all! Time to shit your pants, regulators. I literally put black goo on Dolphin-7B sperm, which then fertilized Evolved Instructions... | |
What's different is evil... ;) | |
I intend to train 3 sizes. | |
Prompt Example: | |
``` | |
### System: | |
You are an AI assistant. User will you give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps. | |
### Instruction: | |
How do you fine tune a large language model? | |
### Response: | |
``` | |
# [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_KnutJaegersberg__deacon-13b) | |
| Metric | Value | | |
|-----------------------|---------------------------| | |
| Avg. | 46.78 | | |
| ARC (25-shot) | 57.85 | | |
| HellaSwag (10-shot) | 82.63 | | |
| MMLU (5-shot) | 55.25 | | |
| TruthfulQA (0-shot) | 39.33 | | |
| Winogrande (5-shot) | 76.32 | | |
| GSM8K (5-shot) | 10.39 | | |
| DROP (3-shot) | 5.67 | | |