
Cactus has unveiled Needle, a function calling model with 26 million parameters that is outperforming larger models. Despite its relatively small size, Needle's unique architecture allows it to deliver impressive results, challenging the traditional emphasis on model size. The model is accessible for testing on Hugging Face, providing developers with an opportunity to explore its capabilities. This release underscores a growing trend towards more efficient AI models that maintain high performance levels.
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This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
© Lev SelectorNVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.
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