README.md

---
license: mit
datasets:
- cerebras/SlimPajama-627B
- HuggingFaceH4/ultrachat_200k
- bigcode/starcoderdata
language:
- en
metrics:
- accuracy
library_name: transformers
tags:
- HelpingAI
- coder
- lite
- Fine-tuned
- Text-Generation
- Transformers
---
# HelpingAI-Lite

HelpingAI-Lite is a lite version of the HelpingAI model that can assist with coding tasks. It's trained on a diverse range of datasets and fine-tuned to provide accurate and helpful responses.

## License

This model is licensed under MIT.

## Datasets

The model was trained on the following datasets:
- cerebras/SlimPajama-627B
- bigcode/starcoderdata
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized

## Language

The model supports English language.

## Usage

Here's an example of how to use the model:

```python
from transformers import pipeline

pipe = pipeline("text-generation", model="OEvortex/HelpingAI-Lite")

messages = [
    {
        "role": "system",
        "content": "You are a chatbot who can help code!",
    },
    {
        "role": "user",
        "content": "Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.",
    },
]

prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```