---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
---
Description: Grade school math problems\
Original dataset: https://huggingface.co/datasets/gsm8k \
---\
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
The adapter_category is STEM and the name is Grade School Math (gsm8k)\
---\
Sample input: Please answer the following question: James decides to run 3 sprints 3 times a week.  He runs 60 meters each sprint.  How many total meters does he run a week?\nAnswer:\
---\
Sample output: He runs 3*3=<<3*3=9>>9 sprints a week
 He runs 60*9=<<60*9=540>>540 meters a week
#### 540\
---\
Try using this adapter yourself!
```
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/gsm8k"

model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)
```