---
tags:
- llama-cpp
- turboquant
- triattention
- kv-cache
- windows
- cuda
license: mit
---

# llama.cpp TurboQuant + TriAttention — Windows CUDA 13 Binaries

Pre-built Windows x64 Release binaries for the [atomicmilkshake/llama-cpp-turboquant](https://github.com/atomicmilkshake/llama-cpp-turboquant) fork.

This builds adds **TurboQuant** (custom quantization) and **TriAttention** (GPU-accelerated KV cache pruning based on [arXiv 2604.04921](https://arxiv.org/abs/2604.04921)) on top of llama.cpp.

## Download

**[llama-turboquant-triattention-win-cu13-x64.zip](llama-turboquant-triattention-win-cu13-x64.zip)** (~179 MB)

## Requirements

- Windows 10/11 x64
- NVIDIA GPU (Turing+, GTX 1600 / RTX 2000 series or newer)  
- CUDA 13.x runtime — install from [developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads) (the cublasLt64_13.dll is NOT included in the zip due to its 432 MB size)

## Usage

`
llama-server.exe -m YourModel.gguf -c 32768 -ngl 99 --port 8080 ^
  --triattention-stats model.triattention ^
  --triattention-budget 4096 ^
  --triattention-window 256 ^
  --triattention-log
`

## TriAttention Performance

Tested on Qwen3-8B Q4_K_M, RTX 3080, -c 512, udget=256:

| Mode | Prune time | Generation |
|------|-----------|------------|
| No pruning | — | 17.5 tok/s |
| CPU scoring | ~5900 ms/event | 17.5 tok/s |
| **GPU scoring** | **~4-9 ms/event** | **75.0 tok/s** |

~1000x speedup on pruning events; 4.3x overall throughput improvement.

## TriAttention Flags

| Flag | Description | Default |
|------|-------------|---------|
| --triattention-stats <file> | Calibration file (**required** to enable) | — |
| --triattention-budget <n> | Max KV tokens to retain | 512 |
| --triattention-window <n> | Recent-token protection window | 64 |
| --triattention-trigger | slack\|interval\|ill | slack |
| --triattention-log | Log each prune event | off |
| --triattention-no-protect-prefill | Allow evicting prompt tokens | off |

## Source

[github.com/atomicmilkshake/llama-cpp-turboquant](https://github.com/atomicmilkshake/llama-cpp-turboquant) — branch eature/triattention