VIDRAFT team achieves verified SOTA in Fast Gemma Challenge

The VIDRAFT team, competing as vidraft-darwin, achieved a verified state-of-the-art result in The Fast Gemma Challenge by optimizing the Google Gemma model. Their submission, vidraft-fw188-ctk49-n64-patchbridge-v1, reached 510.58 tokens per second with a perplexity of 2.3930 on a single NVIDIA A10G GPU. This performance was achieved through extensive software optimizations without compromising model quality, as verified by the challenge organizers. AI

IMPACT Demonstrates advanced optimization techniques for LLM inference speed without quality degradation.

RANK_REASON The item details a specific technical achievement and optimization strategy for a particular model within a challenge context, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

• Google Gemma
• google/gemma-4-E4B-it
• Hugging Face
• NVIDIA A10G
• PyTorch
• The Fast Gemma Challenge
• transformers
• VIDRAFT
• vidraft-darwin
• vidraft-fw188-ctk49-n64-patchbridge-v1
• vLLM

• model release
• product

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →