Loading...
Loading...
Open-source Vedika-Code-Pro-v1 model from veda-labs — available for download and self-hosting on Hugging Face.
Best for
Local run command
pip install transformers accelerate && python -c "from transformers import AutoModelForCausalLM, AutoTokenizer; tok = AutoTokenzier.from_pretrained('veda-labs/Vedika-Code-Pro-v1'); model = AutoModelForCausalLM.from_pretrained('veda-labs/Vedika-Code-Pro-v1'); print('Loaded veda-labs/Vedika-Code-Pro-v1')"Presumptive Specs:
Community reliability estimate · not official
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Not enough historical data yet. Check back after the next pricing sync.
Provider
Learn how to use Vedika-Code-Pro-v1
💡 Tip: Start with the sample prompts above to see how Vedika-Code-Pro-v1 works best.
Proven prompts shared by the community for this model