HelpingAI/Cipher-20B

💻 Cipher-20B

[📜 License](https://helpingai.co/license) | [🌐 Website](https://helpingai.co)

🌟 About Cipher-20B

Cipher-20B is a 20 billion parameter causal language model designed for code generation.

💻 Implementation

Using Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load Cipher-20B
model = AutoModelForCausalLM.from_pretrained("HelpingAI/Cipher-20B")
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/Cipher-20B")

# Example usage
code_task = [
    {"role": "system", "content": "You are Cipher"},
    {"role": "user", "content": "Write a Python function to calculate the Fibonacci sequence."}
]

inputs = tokenizer.apply_chat_template(
    code_task,
    add_generation_prompt=True,
    return_tensors="pt"
)

outputs = model.generate(
    inputs,
    max_new_tokens=256,
    temperature=0.7,
    top_p=0.9,
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

⚙️ Training Details

Training Data

• Trained on a large dataset of code, programming tasks, and technical documentation.
• Fine-tuned for multiple programming languages like Python, JavaScript, and C++.

Capabilities

• Generates code in multiple languages.
• Detects and corrects common coding errors.
• Provides clear explanations of code.

⚠️ Limitations

• May generate verbose code depending on the input.
• Long code generation may exceed token limits.
• Ambiguous instructions can lead to incomplete or incorrect code.
• Prioritizes efficiency in code generation.

Safety

• Avoids generating harmful or malicious code.
• Will not assist with illegal or unethical activities.

📚 Citation

@misc{cipher2024,
  author = {Abhay Koul},
  title = {Cipher-20B: Your Ultimate Code Buddy},
  year = {2024},
  publisher = {HelpingAI},
  journal = {HuggingFace},
  howpublished = {\url{https://huggingface.co/HelpingAI/Cipher-20B}}
}

Built with dedication, precision, and passion by HelpingAI

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