README.md

---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
---
Description: Coding tasks in multiple languages\
Original dataset: https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K \
---\
Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \
The adapter_category is STEM and the name is Code Generation (magicoder)\
---\
Sample input: Below is a programming problem, paired with a language in which the solution should be written. Write a solution in the provided that appropriately solves the programming problem.\n\n### Problem: 

def strlen(string: str) -> int:
    """ Return length of given string
    >>> strlen('')
    0
    >>> strlen('abc')
    3
    """
\n\n### Language: python\n\n### Solution:  \
---\
Sample output: ```python
def strlen(string: str) -> int:
    return len(string)```\
---\
Try using this adapter yourself!

```
from transformers import AutoModelForCausalLM, AutoTokenizer

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

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