Models & Labs
Google DiffusionGemma 26B Unveiled
Lev Selectorhigh confidence
Why it matters
- →Represents Google's commitment to advancing AI technology.
- →Offers new opportunities for developers to leverage advanced AI capabilities.
- →Contributes to the competitive landscape of AI model development.
Google has announced the release of DiffusionGemma 26B, a new AI model that promises enhanced performance and capabilities. This model is part of Google's ongoing efforts to push the boundaries of AI technology and provide more powerful tools for developers and researchers.
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llama.cpp Releases
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llama.cpp b12342 adds few-row MMQ for speculative decoding
Speculative decoding just got a significant speed boost on NVIDIA GPUs. This release introduces a specialized kernel for 'few-row' matrix multiplications, targeting the small batch sizes typical of verification passes in speculative decoding workflows. By optimizing these specific operations for quantized formats like Q8_0 and IQ4 variants, llama.cpp reduces latency where it matters most during token generation. The change is CUDA-only for now but leverages hardware capabilities from Ampere onwards, making local inference faster without requiring new model architectures or complex configuration changes.
