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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'codellama/CodeLlama-70b-Instruct-hf',
messages: [
{
role: 'system',
content: 'You are SQL code assistant.',
},
{
role: 'user',
content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
}
],
});
const message = result.choices[0].message.content;
console.log(\`Assistant: \${message}\`);
};
main();
import os
from openai import OpenAI
def main():
client = OpenAI(
api_key="",
base_url="https://api.ai.cc/v1",
)
response = client.chat.completions.create(
model="codellama/CodeLlama-70b-Instruct-hf",
messages=[
{
"role": "system",
"content": "You are SQL code assistant.",
},
{
"role": "user",
"content": "Could you please provide me with an example of a database structure that I could use for a project in MySQL?",
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
if __name__ == "__main__":
main()
-
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Product Detail
CodeLlama-70B-Instruct, a powerful variant from Meta's CodeLlama AI model series, is engineered for superior instruction following and robust performance across diverse code-related tasks.
✨ The Model
As a core member of the CodeLlama family of large language models (LLMs), CodeLlama-70B-Instruct is an instruction-tuned LLM, meticulously fine-tuned with up to 16K tokens. With its impressive 70 billion parameters, this model excels in tackling complex code synthesis and comprehensive understanding challenges.
🚀 Key Capabilities & Applications
- ➤ Text and Code Generation: Ideal for developing sophisticated chatbots capable of generating human-like text responses to programming queries and assisting users in crafting efficient code snippets.
- ➤ Retrieval Augmented Generation (RAG) & Function Calling: Highly effective in RAG applications, proficiently retrieving relevant code snippets or information from extensive knowledge bases to generate precise responses. Furthermore, it adeptly handles function calling, interpreting and executing complex code instructions.
- ➤ Education: A valuable asset for educational platforms, supporting coding instruction by providing clear explanations, generating practical code examples, and facilitating content moderation. CodeLlama-70B-Instruct is intended for commercial and research use, primarily in English and Python.
🏆 Competitive Edge
CodeLlama-70B-Instruct demonstrates competitive performance against leading code generation models, such as DeepseekCoder, across various code evaluation benchmarks. It particularly shines in Python code generation tasks, making it a preferred choice for Python developers.
💡 Getting Started
To leverage CodeLlama-70B-Instruct for interactive chats, text completion, or code completion, access its capabilities via an AI/ML API. Sign up on this website to gain API access. For optimal prompt formatting, refer to the official tokenizer's chat template available in the model's Huggingface repository. For local deployment, ensure the Huggingface transformers Python library is installed.
📜 Licensing Information
The CodeLlama-70B-Instruct model operates under the Llama 2 community license agreement. Full license details can be reviewed in the model's repository on Huggingface or GitHub.
✅ Conclusion
CodeLlama-70B-Instruct is a robust AI model optimized for instruction following and complex code-related tasks. Its advanced transformer architecture and fine-tuned parameters deliver superior capabilities in code synthesis, understanding, and completion. Developers can harness this model across numerous programming languages and applications, establishing it as an indispensable tool in modern software development and automation workflows.
💻 API Example
To demonstrate a typical API interaction with CodeLlama-70B-Instruct, here's an example of a chat completion request:
{
"model": "codellama/CodeLlama-70b-Instruct-hf",
"messages": [
{"role": "system", "content": "You are a helpful coding assistant."},
{"role": "user", "content": "Write a Python function to calculate the factorial of a number."}
]
}
Original Reference: API Example Snippet
❓ Frequently Asked Questions (FAQs)
-
Q: What is CodeLlama-70B-Instruct?
A: CodeLlama-70B-Instruct is a 70-billion parameter variant of Meta's CodeLlama AI model, specifically instruction-tuned for following commands and excelling in code generation and understanding tasks. -
Q: What are the primary applications of CodeLlama-70B-Instruct?
A: Its primary applications include text and code generation for chatbots, Retrieval Augmented Generation (RAG), function calling, and educational support for coding. -
Q: How does CodeLlama-70B-Instruct compare to other code generation models?
A: It shows competitive results on various code evaluation benchmarks against leading models like DeepseekCoder, particularly strong in Python code generation. -
Q: Which programming languages does CodeLlama-70B-Instruct primarily support?
A: While versatile, it is primarily intended for use with English and relevant programming languages, with a strong emphasis on Python. -
Q: Where can I find the license agreement for CodeLlama-70B-Instruct?
A: The model is governed by the Llama 2 community license agreement, which can be reviewed in its repository on Huggingface or GitHub.
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