ggml/llama.cpp releases: b10615

TL;DR

The ggml/llama.cpp project has updated its Metal code to include device-tuned vectorized functions for flash attention, enhancing performance on specific hardware. These updates are crucial for optimizing the computational efficiency of large language models on Apple's M1 chips.

Detailed Summary

The ggml/llama.cpp project has released updates including per-device tuned Metal code for flash attention vector operations and added new vector instantiations. These changes enhance the performance of the model on specific hardware configurations. The broader impact includes improved computational efficiency in running the llama model, particularly on devices with Apple's Metal framework support.

Key Points

• • metal : per-device tuned (Q, NE) for flash-attn vec (#26570)
• • rebase Q-generic FA vec body from 01dc93607 (#23114)
• • add 53 f16 (Q,NE) flash-attn vec instantiations (vec 80 -> 133)