metadata

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:

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"])