🌟 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}}
}
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