๐ฌ Einstein-v4-7B
This model is a full fine-tuned version of mistralai/Mistral-7B-v0.1 on diverse datasets.
This model is finetuned using 7xRTX3090 + 1xRTXA6000 using axolotl.
This model's training was sponsored by sablo.ai.
๐ฌ Prompt Template
You can use this prompt template while using the model:
ChatML
<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>
This prompt template is available as a chat template, which means you can format messages using the
tokenizer.apply_chat_template() method:
messages = [
{"role": "system", "content": "You are helpful AI asistant."},
{"role": "user", "content": "Hello!"}
]
gen_input = tokenizer.apply_chat_template(message, return_tensors="pt")
model.generate(**gen_input)
๐ Quantizationed versions
Quantizationed versions of this model is available.
GGUF @LoneStriker
AWQ @solidrust
Exl2 @bartowski:
๐ฏ Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 66.62 |
| AI2 Reasoning Challenge (25-Shot) | 64.68 |
| HellaSwag (10-Shot) | 83.75 |
| MMLU (5-Shot) | 62.31 |
| TruthfulQA (0-shot) | 55.15 |
| Winogrande (5-shot) | 76.24 |
| GSM8k (5-shot) | 57.62 |
๐ฏ Open LLM Leaderboard v2 Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 16.73 |
| IFEval (0-Shot) | 47.08 |
| BBH (3-Shot) | 14.30 |
| MATH Lvl 5 (4-Shot) | 1.74 |
| GPQA (0-shot) | 4.25 |
| MuSR (0-shot) | 19.02 |
| MMLU-PRO (5-shot) | 13.99 |
๐ Some resources, discussions and reviews aboout this model
๐ฆ Announcement tweet:
https://twitter.com/Weyaxi/status/1765851433448944125
๐ Reddit post in r/LocalLLaMA:
- https://www.reddit.com/r/LocalLLaMA/comments/1b9gmvl/meet_einsteinv47b_mistralbased_sft_model_using/
โถ๏ธ Youtube Videos
๐ค Additional information about training
This model is full fine-tuned for 1.5 epoch.
Total number of steps was 1562.
๐ค Acknowledgments
Thanks to sablo.ai for sponsoring this model.
Thanks to all the dataset authors mentioned in the datasets section.
Thanks to axolotl for making the repository I used to make this model.
Thanks to all open source AI community.
If you would like to support me:
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Model tree for Weyaxi/Einstein-v4-7B
Base model
mistralai/Mistral-7B-v0.1Datasets used to train Weyaxi/Einstein-v4-7B
Collection including Weyaxi/Einstein-v4-7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard64.680
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.750
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.310
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard55.150
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard76.240
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard57.620
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard47.080
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard14.300
