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A new pair of models, Qwen3.5-122B-Q5-MTP and Qwen3.5-122B-Q6-MTP, have been released by the authors of Qwen. These models are part of a series exploring different specifications for the Qwen architecture.
The performance metrics provided indicate significant improvements in throughput compared to previous versions. For instance, Qwen3.5-122B-Q5-MTP shows a peak throughput of 29.77 tokens per second (t/s), while Qwen3.5-122B-Q6-MTP reaches up to 25.10 t/s for the general prompt evaluation time.
- These new models demonstrate advancements in both computational efficiency and performance, which could lead to more practical applications of large language models in real-world scenarios.
- The ability to achieve higher throughput at a lower cost per token is crucial for scaling AI services without compromising on the quality or speed of responses.
- This release underscores the ongoing research into optimizing model architectures and configurations, which can pave the way for more accessible and efficient AI solutions in various domains.
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