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---
datasets:
- cerebras/SlimPajama-627B
- HuggingFaceH4/ultrachat_200k
- bigcode/starcoderdata
language:
- en
metrics:
- accuracy
- speed
library_name: transformers
tags:
- HelpingAI
- coder
- lite
- Fine-tuned
- Text-Generation
- Transformers
license: mit
widget:
- text: "<|system|>\nYou are a chatbot who can code!</s>\n<|user|>\nWrite me a function to search for OEvortex on youtube use Webbrowser .</s>\n<|assistant|>\n"
---
# HelpingAI-Lite
# Subscribe to my YouTube channel
[Subscribe](https://youtube.com/@OEvortex)
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
# CPU
```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"])
``` |