1、rknpu升级0.9.8驱动 前言 为了更好的在rk的npu上运行llm,需要升级rknpu驱动,笔者使用的开发板是rock 5b,系统是官方Debain,内核为6.1 radxa官方内核开发教程:https://docs.radxa.com/rock5/rock5b/low-level-dev/kernel radxa官方rknpu升级教程:https://docs.radxa.com/rock5/rock5b/app-development/rkllm...
三、RK3588 的 RKNPU driver 驱动 由于所提供的 RKLLM 所需要的 NPU 内核版本较高,用户在板端使用 RKLLM Runtime 进行模型 推理前,首先需要确认板端的 NPU 内核是否为 v0.9.6 版本(https://github.com/airockchip/rknn-llm/tree/main/rknpu-driver)具体的查询命令如下: # 板端执行以下命令,查询 NPU 内...
We previously testedLLM’s on Rockchip RK3588 SBC using the Mali G610 GPU, and expected NPU support to come soon. Apost on X by Orange Pinotified us that the RKLLM software stack had been released and worked onOrange Pi 5family of single board computers and theOrange...
59 + struct rknpu_irqs_data { 60 + const char *name; 61 + irqreturn_t (*irq_hdl)(int irq, void *ctx); 62 + }; 63 + 64 + struct rknpu_amount_data { 65 + uint16_t offset_clr_all; 66 + uint16_t offset_dt_wr; 67 + uint16_t offset_dt_rd; 68 + uin...
Useful Sensors “AI in a box” LLM (large language model) solution works offline with complete privacy and leverages the NPU in Rockchip RK3588S processor for conversational AI similar to ChatGPT but without an internet connection or registration required. ...
Original repo is here: RKLLM Initial testing was done using Pelochus' EZ RKNN-LLM container found in this repo: ezrknn-llm For more information, and useful links, please check out the RockchipNPU subreddit Conversion tests done on consumer grade hardware: AMD Ryzen 3 1200 Quad-Core Process...
一、RKLLM 简介 RKLLM 可以帮助用户快速将 LLM 模型部署到 Rockchip 芯片中,本仓库所述目前支持芯片:rk3588,整体框架如下: 要使用RKNPU,用户需要先在电脑上运行RKLLM-Toolkit工具,将训练好的模型转换为RKLLM格式的模型,然后在开发板上使用RKLLM C API进行推理。 RKLLM-Toolkit是一套软件开发包,供用户在PC上进...