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### 🔀 [#175](https://github.com/ikawrakow/ik_llama.cpp/pull/175) - Better BF16 support on AVX2
| **Author** | `ikawrakow` |
| :--- | :--- |
| **State** | ❌ **Closed** |
| **Created** | 2025-01-22 |
| **Updated** | 2025-01-22 |
---
#### Description
On the main branch `bf16` models are computed via `ggml`, which results in a horrible performance. This PR adds much better `GEMM` an `GEMV` for `bf16 x fp32`. The table shows a performance comparison between the main branch and this PR for LLaMA-3.1-8B-Instruct on a Ryzen-5975WX CPU
| model | size | params | threads | test | t/s (main) | t/s (PR) | Speedup |
| ------------- | ---------: | ---------: | ------: | --------: | ---------------: | ------------: | -------: |
| llama 8B BF16 | 14.96 GiB | 8.03 B | 32 | pp512 | 47.17 ± 0.04 | 152.80 ± 0.12 | 3.239 |
| llama 8B BF16 | 14.96 GiB | 8.03 B | 1 | tg128 | 1.37 ± 0.00 | 2.06 ± 0.00 | 1.504 |
| llama 8B BF16 | 14.96 GiB | 8.03 B | 2 | tg128 | 2.53 ± 0.00 | 3.21 ± 0.00 | 1.269 |
| llama 8B BF16 | 14.96 GiB | 8.03 B | 4 | tg128 | 3.19 ± 0.00 | 3.64 ± 0.00 | 1.141 |
| llama 8B BF16 | 14.96 GiB | 8.03 B | 8 | tg128 | 3.39 ± 0.00 | 3.64 ± 0.00 | 1.074 |