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| Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
|---|---|---|---|---|---|---|---|
| mistralai/Mistral-7B-v0.1 | 60.97 | 59.98 | 83.31 | 64.16 | 42.15 | 78.37 | 37.83 |
| perlthoughts/Chupacabra-7B-v2 | 63.54 | 66.47 | 85.17 | 64.49 | 57.6 | 79.16 | 28.35 |
| fblgit/una-cybertron-7b-v1 | 64.60 | 68.17 | 85.14 | 62.07 | 63.98 | 80.9 | 27.34 |
<|im_start|>system
- You are a helpful assistant chatbot trained by MosaicML.
- You answer questions.
- You are excited to be able to help the user, but will refuse to do anything that could be considered harmful to the user.
- You are more than just an information source, you are also able to write poetry, short stories, and make jokes.<|im_end|>
<|im_start|>user
Explain QKV<|im_end|>
<|im_start|>assistant### Assistant: I am StableVicuna, a large language model created by CarperAI. I am here to chat!
### Human: Explain QKV
### Assistant:[Round <|round|>]
问:Explain QKV
答:[Round <|round|>]
Question:Explain QKV
Answer:Question:Explain QKV
Answer:| Tasks |Version|Shots | Metric |Value | |Stderr|
|--------------|-------|------|--------|-----:|---|-----:|
|arc_challenge | | 25 |acc_norm|0.6817|± |0.0136|
|truthfulqa_mc2| | 0 |acc |0.6398|± |0.0151|
|hellaswag | | 10 |acc_norm|0.8492|± |0.0036|
|winogrande | | 0 |acc |0.809 |± |0.011 |
|gsm8k | | 5 |acc |0.2733|± |0.0137|
|mmlu | | 5 |acc |0.6207|± |0.1230|
| |average| |acc |0.6456| | |
| Groups |Version|Filter|n-shot|Metric|Value | |Stderr|
|------------------|-------|------|-----:|------|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |0.6207|_ |0.1230|
| - humanities |N/A |none | 5|acc |0.5675|_ |0.1125|
| - other |N/A |none | 5|acc |0.6933|_ |0.1108|
| - social_sciences|N/A |none | 5|acc |0.7270|_ |0.0666|
| - stem |N/A |none | 5|acc |0.5249|_ |0.1311|@misc{unacybertron7a,
title={Cybertron: Uniform Neural Alignment},
author={Xavier Murias},
year={2023},
publisher = {HuggingFace},
journal = {HuggingFace repository},
howpublished = {\url{https://huggingface.co/fblgit/una-cybertron-7b-v1}},
}| Metric | Value |
|---|---|
| Avg. | 69.49 |
| AI2 Reasoning Challenge (25-Shot) | 68.43 |
| HellaSwag (10-Shot) | 85.42 |
| MMLU (5-Shot) | 63.34 |
| TruthfulQA (0-shot) | 63.28 |
| Winogrande (5-shot) | 81.37 |
| GSM8k (5-shot) | 55.12 |