qubit999/qwen2.5-coder-32b-instruct 🔢📝✓ → 📝
About
The Qwen2.5-Coder-32B-Instruct is a state-of-the-art, open-source large language model (LLM). It is specifically designed for coding tasks and is part of the Qwen2.5-Coder series, featuring 32 billion parameters.
Example Output
Prompt:
"Write a hello world program in Python."
Output
Certainly! Here is a simple "Hello, World!" program in Python:
print("Hello, World!")
To run this program, you can save it in a file with a .py extension, for example, hello_world.py, and then execute it using a Python interpreter by running the following command in your terminal or command prompt:
python hello_world.py
This will output:
Hello, World!
Performance Metrics
5.44s
Prediction Time
466.83s
Total Time
All Input Parameters
{
"top_k": 50,
"top_p": 0.9,
"prompt": "Write a hello world program in Python.",
"do_sample": true,
"temperature": 0.7,
"system_prompt": "You are Qwen. You are a helpful assistant.",
"max_new_tokens": 4096,
"min_new_tokens": 1,
"repetition_penalty": 1
}
Input Parameters
- top_k
- Top K
- top_p
- Top P
- prompt
- User Prompt
- do_sample
- Do Sample
- temperature
- Temperature
- system_prompt
- System Prompt
- max_new_tokens
- Max New Tokens
- min_new_tokens
- Min New Tokens
- repetition_penalty
- Repetition Penalty
Output Schema
Output
Version Details
- Version ID
0693a50a0941d4966296d348c4b58c97297f4574c1f07a04fe5d15dd5985200b- Version Created
- December 5, 2024