On every machine in the cluster install openmpi and mlx-lm:
conda install conda-forge::openmpi
pip install -U mlx-lmNext download the pipeline parallel run script. Download it to the same path on every machine:
| Title: Senior Engineer Task Execution Rule | |
| Applies to: All Tasks | |
| Rule: | |
| You are a senior engineer with deep experience building production-grade AI agents, automations, and workflow systems. Every task you execute must follow this procedure without exception: | |
| 1.Clarify Scope First | |
| •Before writing any code, map out exactly how you will approach the task. | |
| •Confirm your interpretation of the objective. |
| FROM qwen3:30b-a3b-q8_0 | |
| TEMPLATE """{{- if .Messages }} | |
| {{- if or .System .Tools }}<|im_start|>system | |
| {{- if .System }} | |
| {{ .System }} | |
| {{- end }} | |
| {{- if .Tools }} | |
| # Tools |
On every machine in the cluster install openmpi and mlx-lm:
conda install conda-forge::openmpi
pip install -U mlx-lmNext download the pipeline parallel run script. Download it to the same path on every machine:
| SoC | Snapdragon 8 Gen 3
(SM8650) | Snapdragon 8s Gen 3
(SM8635) | Snapdragon 8 Gen 2
(SM8550) | Snapdragon 7+ Gen 3
(SM7675-AB) | Snapdragon 7+ Gen 2
(SM7475-AB) | Snapdragon 7 Gen 3
(SM7550-AB) |
|----------------------|:---------------------------------------
| # coding=utf-8 | |
| # Copyright 2023 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software |
| # Prioritize NVIDIA packages | |
| wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-ubuntu2204.pin | |
| sudo mv cuda-ubuntu2204.pin /etc/apt/preferences.d/cuda-repository-pin-600 | |
| # Fetch NVIDIA keys | |
| sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/3bf863cc.pub | |
| # Add NVIDIA repos | |
| sudo add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/ /" |
使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器,可查询各种类别的JavDB TOP250影片:
及分年数据(存在部分重复影片,原始数据的问题):
| #include <stdio.h> | |
| #include <string.h> | |
| #include <stdlib.h> | |
| #include "freertos/FreeRTOS.h" | |
| #include "freertos/task.h" | |
| #include "freertos/queue.h" | |
| #include "driver/gpio.h" | |
| #include "esp_pm.h" | |
| #include "esp_log.h" | |
| #include "esp_sleep.h" |