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Qwen2-1_5B_rkLLM

Qwen2-1_5B-Chat_rkLLM

Introduction

Qwen2-1_5B-Chat_rkLLM is a model converted from Qwen2-1_5B, optimized for Rockchip devices. This model runs on the NPU of the RK3588 chip.

  • Model Name: Qwen2-1_5B
  • Architecture: Same as Qwen2-1_5B
  • Publisher: FydeOS
  • Release Date: May 14, 2024

Model Details

Qwen2-1_5B-Chat_rkLLM is part of the Tongyi Qianwen series developed by Alibaba. This large language model features 1.8 billion parameters and is based on the Transformer architecture. It has been pre-trained on a diverse dataset, including web texts, professional literature, and code.

User Guide

This model is supported only on devices with the Rockchip RK3588/s chip. Please verify your device’s chip information and ensure the NPU is operational.

openFyde

Ensure you have upgraded to the latest version of openFyde.

  1. Download the model file XXX.rkllm.
  2. Create a folder named model/ and place the model file inside this folder.
  3. Launch FydeOS AI and configure the settings on the settings page.

Other OS

Ensure you have updated the NPU kernel related to RKLLM.

  1. Download the model file XXX.rkllm.
  2. Follow the configuration guidelines in the official documentation.

Limitations and Considerations

  • The model may have performance limitations in certain scenarios.
  • Ensure compliance with relevant laws and regulations during usage.
  • Parameter tuning might be necessary to achieve optimal performance.

通义千问2-1_5B

介绍

通义千问2-1_5B 是从 Qwen2-1.5B 转换而来的 RKLLM 模型,专为 Rockchip 设备优化。该模型运行于 RK3588 的 NPU 上。

  • 模型名称: Qwen2-1_5B
  • 模型架构: 与 Qwen2-1_5B 相同
  • 发布者: FydeOS
  • 发布日期: 2024-07-12

模型详情

通义千问-1.5B(Qwen2-1_5B)是阿里云研发的通义千问系列大模型中的一员,拥有 15 亿参数。该模型基于 Transformer 架构,经过大规模预训练,涵盖了多种类型的数据,包括网络文本、专业书籍和代码。

使用指南

此模型仅支持搭载 Rockchip RK3588/s 芯片的设备。请确认设备信息并确保 NPU 可用。

openFyde 系统

请确保你已将系统升级到最新版本。

  1. 下载模型文件 XXX.rkllm
  2. 新建文件夹 model/,将模型文件放置于该文件夹内。
  3. 启动 FydeOS AI,在设置页面进行相关配置。

其它系统

请确保已完成 RKLLM 的 NPU 相关内核更新。

  1. 下载模型文件 XXX.rkllm
  2. 按照官方文档进行配置:官方文档

限制与注意事项

  • 模型在某些情况下可能存在性能限制
  • 使用时请遵循相关法律法规
  • 可能需要进行适当的参数调优以达到最佳效果
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