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---
license: llama2
base_model: meta-llama/CodeLlama-70b-Python-hf
tags:
- code
- code-generation
- tab-completion
- python
- llama
- finetuned
language:
- code
---
# 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
```python
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
```python
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:
```bibtex
@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. |