Vedika-Code-Pro-v1
Introduction
Vedika-Code-Pro-v1 is a state-of-the-art language model designed for advanced coding and reasoning tasks.
System Prompt
The default system prompt for Vedika-Code-Pro-v1 is:
"You are Vedika, built by Veda Labs for coding in India."
Model Downloads
| Model | #Total Params | #Activated Params | Context Length | Precision | Download |
|---|---|---|---|---|---|
| Vedika-Code-Pro-v1 | 1.6T | 49B | 1M | FP4 + FP8 Mixed* | HuggingFace |
*FP4 + FP8 Mixed: MoE expert parameters use FP4 precision; most other parameters use FP8.
Chat Template
This release does not include a Jinja-format chat template. Instead, we provide a dedicated encoding folder with Python scripts and test cases demonstrating how to encode messages in OpenAI-compatible format into input strings for the model, and how to parse the model's text output. Please refer to the encoding folder for full documentation.
A brief example:
from encoding_vedika_code_pro_v1 import encode_messages, parse_message_from_completion_text
messages = [
{"role": "user", "content": "hello"},
{"role": "assistant", "content": "Hello! I am Vedika.", "reasoning_content": "thinking..."},
{"role": "user", "content": "1+1=?"}
]
# messages -> string
prompt = encode_messages(messages, thinking_mode="thinking")
# string -> tokens
import transformers
tokenizer = transformers.AutoTokenizer.from_pretrained("Veda-Labs/Vedika-Code-Pro-v1")
tokens = tokenizer.encode(prompt)
How to Run Locally
Please refer to the inference folder for detailed instructions on running Vedika-Code-Pro-v1 locally, including model weight conversion and interactive chat demos.
For local deployment, we recommend setting the sampling parameters to temperature = 1.0, top_p = 1.0.
License
This repository and the model weights are licensed under the MIT License.
Citation
@misc{vedalabs2026vedikacodeprov1,
title={Vedika-Code-Pro-v1},
author={Veda-Labs},
year={2026},
}
Contact
- Website: https://vedalabs.online
- Hugging Face: https://huggingface.co/Veda-Labs
- GitHub: https://github.com/vedalabs-tech
- X (Twitter): https://x.com/VedaLabsAI
- Email: vedalabs.veda@gmail.com