emissary-ai/Python-Tab-Completion-CodeLlama-70b

Python Tab Completion CodeLlama 70B

Model Description

This is a finetuned version of Code-Llama-70B specifically optimized for Python tab completion tasks. The model excels at predicting the next tokens in Python code, making it ideal for IDE autocomplete features and code assistance tools.

Intended Use

• Primary use case: Python code tab completion in IDEs and code editors
• Secondary uses:
  • Code generation
  • Code explanation
  • Python snippet completion

Usage

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "emissary-ai/Python-Tab-Completion-CodeLlama-70b"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.float16,
    device_map="auto"
)

Example: Complete Python code

prompt = "def calculate_average(numbers):\n    "
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_length=100, temperature=0.7)
completion = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(completion)

Limitations

• Optimized specifically for Python; performance on other languages may vary
• Best suited for short to medium-length completions
• May require significant computational resources due to model size (70B parameters)

Ethical Considerations

• Should not be used as the sole tool for production code without human review
• May reflect biases present in the training data
• Generated code should be tested and validated before deployment

License

This model is subject to the Meta Llama 2 Community License Agreement. By using this model, you agree to the terms of the Llama 2 license.

Citation

If you use this model in your research or applications, please cite:

@misc{python-tab-completion-codellama-70b,
  author = {Emissary AI},
  title = {Python Tab Completion CodeLlama 70B},
  year = {2024},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/emissary-ai/Python-Tab-Completion-CodeLlama-70b}}
}

Contact

For questions or issues, please open an issue in the Community tab.