# llama.cpp adds OpenCL DP4A kernels for quantized models

> The open‑source LLaMA inference library now includes cooperative‑k DP4A GEMM support for q4_0, q4_k and q6_k formats.

Oossa · 2026-10-19 · https://oossa.com/en/llama-cpp-adds-opencl-dp4a-kernels-for-quantized-models

The ggml‑org/llama.cpp project released version b11741 on 2026‑10‑19. It adds new OpenCL kernels that use DP4A instructions to speed up matrix multiplications for three quantized formats (q4_0, q4_k, q6_k). The update also fixes an alignment issue and bundles pre‑built binaries for macOS (Apple Silicon and Intel) and several Ubuntu targets, including Vulkan builds.

## The facts

- Release version b11741 published on 2026‑10‑19
- Adds cooperative‑k DP4A GEMM for q4_0, q4_k, q6_k

## Why it matters

Developers can run LLaMA models faster on OpenCL‑compatible GPUs, making local inference more practical.

## Sources & references

1. [ggml-org/llama.cpp b11741](https://github.com/ggml-org/llama.cpp/releases/tag/b11741) – llama.cpp, 2026-10-19

Last updated: 2026-10-19