Codellama 13b Hf

🚀 Code Llama

Code Llama consists of a series of pretrained and fine - tuned generative text models, with parameter scales ranging from 7 billion to 34 billion. This repository hosts the base 13B version in the Hugging Face Transformers format. The model is crafted for general code synthesis and understanding. Links to other models can be found in the index at the bottom.

⚠️ Important Note

This is a non - official Code Llama repo. You can find the official Meta repository in the Meta Llama organization.

🚀 Quick Start

To use this model, please make sure to install transformers:

pip install transformers accelerate

✨ Features

Model capabilities:

• [x] Code completion.
• [x] Infilling.
• [ ] Instructions / chat.
• [ ] Python specialist.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer
import transformers
import torch

model = "codellama/CodeLlama-13b-hf"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

sequences = pipeline(
    'import socket\n\ndef ping_exponential_backoff(host: str):',
    do_sample=True,
    top_k=10,
    temperature=0.1,
    top_p=0.95,
    num_return_sequences=1,
    eos_token_id=tokenizer.eos_token_id,
    max_length=200,
)
for seq in sequences:
    print(f"Result: {seq['generated_text']}")

📚 Documentation

Model Details

*Note: Use of this model is governed by the Meta license. Meta developed and publicly released the Code Llama family of large language models (LLMs).

Intended Use

Hardware and Software

Training Data

All experiments reported here and the released models have been trained and fine - tuned using the same data as Llama 2 with different weights (see Section 2 and Table 1 in the research paper for details).

Evaluation Results

See evaluations for the main models and detailed ablations in Section 3 and safety evaluations in Section 4 of the research paper.

Ethical Considerations and Limitations

Code Llama and its variants are a new technology that carries risks with use. Testing conducted to date has been in English, and has not covered, nor could it cover all scenarios. For these reasons, as with all LLMs, Code Llama’s potential outputs cannot be predicted in advance, and the model may in some instances produce inaccurate or objectionable responses to user prompts. Therefore, before deploying any applications of Code Llama, developers should perform safety testing and tuning tailored to their specific applications of the model.

Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide.

Model Table

📄 License

The model is under the Llama2 license. A custom commercial license is available at: https://ai.meta.com/resources/models-and-libraries/llama-downloads/