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github-data/pull_requests/146 - IQ2_K_R4.md
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github-data/pull_requests/146 - IQ2_K_R4.md
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### 🔀 [#146](https://github.com/ikawrakow/ik_llama.cpp/pull/146) - IQ2_K_R4
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| **Author** | `ikawrakow` |
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| :--- | :--- |
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| **State** | ❌ **Closed** |
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| **Created** | 2024-12-17 |
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| **Updated** | 2024-12-17 |
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---
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#### Description
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Adding `IQ2_K` with 4 interleaved rows.
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We get very signifiant performance gains on `ARM_NEON` and more modest gains on `AVX2/Zen4`.
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Here is `PP-512` for LLaMA-3.1-8B on `Zen4` (Ryzen-7950X), `ARM_NEON` (M2-Max) and `AVX2` (Ryzen-5975WX)
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| Platform | Threads | IQ2_K | IQ2_K_R4 | Speedup |
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| ---: | ---: | ---: | ---: | ---: |
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| ARM_NEON | 8 | 59.71 ± 0.91 | 107.93 ± 0.75 | 1.808 |
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| Zen4 | 16 | 198.79 ± 0.58 | 250.19 ± 0.42 | 1.259 |
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| AVX2 | 32 | 209.02 ± 0.16 | 287.17 ± 0.64 | 1.374 |
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We get decent performance gains for TG as well.
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Here results for TG-128 on LLaMA-3.1-8B with different numbers of threads:
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| Platform | Threads | IQ2_K | IQ2_K_R4 | Speedup |
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| ---: | ---: | ---: | ---: | ---: |
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| ARM_NEON | 2 | 8.22 ± 0.01 | 9.79 ± 0.00 | 1.191 |
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| | 4 | 15.12 ± 0.01 | 18.25 ± 0.02 | 1.207 |
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| | 8 | 28.01 ± 0.13 | 32.33 ± 0.26 | 1.154 |
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| Zen4 | 1 | 6.56 ± 0.00 | 7.13 ± 0.11 | 1.087 |
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| | 2 | 11.89 ± 0.00 | 13.35 ± 0.01 | 1.123 |
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| | 4 | 19.37 ± 1.84 | 21.55 ± 0.86 | 1.113 |
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| AVX2 | 2 | 5.06 ± 0.00 | 8.83 ± 0.00 | 1.745 |
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| | 4 | 9.63 ± 0.00 | 16.28 ± 0.00 | 1.691 |
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| | 8 | 17.45 ± 0.08 | 22.11 ± 0.00 | 1.267 |
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