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ik_llama.cpp/github-data/pull_requests/5 - Fusing a mat mul op followed by a scale op on the CPU.md
2025-07-23 13:31:53 +02:00

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### 🔀 [#5](https://github.com/ikawrakow/ik_llama.cpp/pull/5) - Fusing a mat mul op followed by a scale op on the CPU
| **Author** | `ikawrakow` |
| :--- | :--- |
| **State** | ❌ **Closed** |
| **Created** | 2024-07-27 |
| **Updated** | 2025-02-08 |
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#### Description
This is useful for Bitnet here we have almost all matrix multiplications be followed by scale operations.
As a result, we get a ~2% boost in Bitnet PP performance.
Implementation is easy when the matrix multiplication is done by `iqk_mul_mat`. But if `iqk_mul_mat` is not implemented for the quant type/architecture, we need to add the scaling to llamafile sgemm and to `ggml` itself, which is way more messy, so I didn't do it yet.
Given that Bitnet is just a niche thing for now, I'll just leave it on a draft PR for now.
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#### 💬 Conversation
👤 **ikawrakow** commented the **2025-02-08** at **14:27:07**:<br>
I don't think I'll ever merge this.