{"id":34385,"date":"2025-07-30T12:41:19","date_gmt":"2025-07-30T04:41:19","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34385"},"modified":"2025-07-30T12:41:19","modified_gmt":"2025-07-30T04:41:19","slug":"arc-hunyuan-video-7b","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/arc-hunyuan-video-7b\/","title":{"rendered":"ARC-Hunyuan-Video-7B\uff1a\u7406\u89e3\u77ed\u89c6\u9891\u5185\u5bb9\u7684\u667a\u80fd\u6a21\u578b"},"content":{"rendered":"<p>ARC-Hunyuan-Video-7B \u662f\u4e00\u4e2a\u7531\u817e\u8baf ARC \u5b9e\u9a8c\u5ba4\u5f00\u53d1\u7684\u5f00\u6e90\u591a\u6a21\u6001\u6a21\u578b\uff0c\u4e13\u6ce8\u4e8e\u7406\u89e3\u7528\u6237\u751f\u6210\u7684\u77ed\u89c6\u9891\u5185\u5bb9\u3002\u5b83\u901a\u8fc7\u6574\u5408\u89c6\u9891\u7684\u89c6\u89c9\u3001\u97f3\u9891\u548c\u6587\u672c\u4fe1\u606f\uff0c\u63d0\u4f9b\u6df1\u5ea6\u7684\u7ed3\u6784\u5316\u5206\u6790\u3002\u8be5\u6a21\u578b\u80fd\u5904\u7406\u590d\u6742\u89c6\u89c9\u5143\u7d20\u3001\u9ad8\u5bc6\u5ea6\u97f3\u9891\u4fe1\u606f\u548c\u5feb\u901f\u8282\u594f\u7684\u77ed\u89c6\u9891\uff0c\u9002\u7528\u4e8e\u89c6\u9891\u641c\u7d22\u3001\u5185\u5bb9\u63a8\u8350\u548c\u89c6\u9891\u6458\u8981\u7b49\u573a\u666f\u3002\u6a21\u578b\u91c7\u7528 7B \u53c2\u6570\u89c4\u6a21\uff0c\u901a\u8fc7\u591a\u9636\u6bb5\u8bad\u7ec3\uff0c\u5305\u62ec\u9884\u8bad\u7ec3\u3001\u6307\u4ee4\u5fae\u8c03\u548c\u5f3a\u5316\u5b66\u4e60\uff0c\u786e\u4fdd\u9ad8\u6548\u63a8\u7406\u548c\u9ad8\u8d28\u91cf\u8f93\u51fa\u3002\u7528\u6237\u53ef\u901a\u8fc7 GitHub \u8bbf\u95ee\u4ee3\u7801\u548c\u6a21\u578b\u6743\u91cd\uff0c\u8f7b\u677e\u90e8\u7f72\u5230\u751f\u4ea7\u73af\u5883\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-34386\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/097c67145e9465f-scaled.jpg\" alt=\"\" width=\"2240\" height=\"2560\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/097c67145e9465f-scaled.jpg 2240w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/097c67145e9465f-1344x1536.jpg 1344w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/097c67145e9465f-1792x2048.jpg 1792w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/07\/097c67145e9465f-10x12.jpg 10w\" sizes=\"auto, (max-width: 2240px) 100vw, 2240px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u89c6\u9891\u5185\u5bb9\u7406\u89e3\uff1a\u5206\u6790\u77ed\u89c6\u9891\u7684\u89c6\u89c9\u3001\u97f3\u9891\u548c\u6587\u672c\uff0c\u63d0\u53d6\u6838\u5fc3\u4fe1\u606f\u548c\u60c5\u611f\u8868\u8fbe\u3002<\/li>\n<li>\u65f6\u95f4\u6233\u6807\u6ce8\uff1a\u652f\u6301\u591a\u7c92\u5ea6\u65f6\u95f4\u6233\u89c6\u9891\u63cf\u8ff0\uff0c\u7cbe\u786e\u6807\u6ce8\u4e8b\u4ef6\u53d1\u751f\u65f6\u95f4\u3002<\/li>\n<li>\u89c6\u9891\u95ee\u7b54\uff1a\u56de\u7b54\u5173\u4e8e\u89c6\u9891\u5185\u5bb9\u7684\u5f00\u653e\u6027\u95ee\u9898\uff0c\u7406\u89e3\u89c6\u9891\u4e2d\u7684\u590d\u6742\u573a\u666f\u3002<\/li>\n<li>\u65f6\u95f4\u5b9a\u4f4d\uff1a\u5b9a\u4f4d\u89c6\u9891\u4e2d\u7684\u7279\u5b9a\u4e8b\u4ef6\u6216\u7247\u6bb5\uff0c\u652f\u6301\u89c6\u9891\u641c\u7d22\u548c\u526a\u8f91\u3002<\/li>\n<li>\u89c6\u9891\u6458\u8981\uff1a\u751f\u6210\u89c6\u9891\u5185\u5bb9\u7684\u7b80\u6d01\u6458\u8981\uff0c\u7a81\u51fa\u5173\u952e\u4fe1\u606f\u3002<\/li>\n<li>\u591a\u8bed\u8a00\u652f\u6301\uff1a\u652f\u6301\u4e2d\u82f1\u6587\u89c6\u9891\u5185\u5bb9\u5206\u6790\uff0c\u7279\u522b\u4f18\u5316\u4e2d\u6587\u89c6\u9891\u5904\u7406\u3002<\/li>\n<li>\u9ad8\u6548\u63a8\u7406\uff1a\u652f\u6301 <a href=\"https:\/\/www.kdjingpai.com\/de\/vllm\/\">vLLM<\/a> \u52a0\u901f\uff0c1 \u5206\u949f\u89c6\u9891\u63a8\u7406\u4ec5\u9700 10 \u79d2\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 ARC-Hunyuan-Video-7B\uff0c\u7528\u6237\u9700\u8981\u514b\u9686 GitHub \u4ed3\u5e93\u5e76\u914d\u7f6e\u73af\u5883\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u4ed3\u5e93<\/strong>\uff1a\n<pre><code>git lfs install\r\ngit clone https:\/\/github.com\/TencentARC\/ARC-Hunyuan-Video-7B\r\ncd ARC-Hunyuan-Video-7B\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a<br \/>\n\u786e\u4fdd\u7cfb\u7edf\u5b89\u88c5\u4e86 Python 3.8+ \u548c PyTorch 2.1.0+\uff08\u652f\u6301 CUDA 12.1\uff09\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u5fc5\u8981\u5e93\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd<\/strong>\uff1a<br \/>\n\u6a21\u578b\u6743\u91cd\u6258\u7ba1\u5728 Hugging Face\u3002\u7528\u6237\u53ef\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u4e0b\u8f7d\uff1a<\/p>\n<pre><code>from huggingface_hub import hf_hub_download\r\nhf_hub_download(repo_id=\"TencentARC\/ARC-Hunyuan-Video-7B\", filename=\"model_weights.bin\", repo_type=\"model\")\r\n<\/code><\/pre>\n<p>\u6216\u8005\u76f4\u63a5\u4ece Hugging Face \u624b\u52a8\u4e0b\u8f7d\u5e76\u653e\u7f6e\u5230\u00a0<code>experiments\/pretrained_models\/<\/code>\u00a0\u76ee\u5f55\u3002<\/li>\n<li><strong>\u5b89\u88c5 vLLM\uff08\u53ef\u9009\uff09<\/strong>\uff1a<br \/>\n\u4e3a\u52a0\u901f\u63a8\u7406\uff0c\u63a8\u8350\u5b89\u88c5 vLLM\uff1a<\/p>\n<pre><code>pip install vllm\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u9a8c\u8bc1\u73af\u5883<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ed3\u5e93\u63d0\u4f9b\u7684\u6d4b\u8bd5\u811a\u672c\uff0c\u68c0\u67e5\u73af\u5883\u914d\u7f6e\u662f\u5426\u6b63\u786e\uff1a<\/p>\n<pre><code>python test_setup.py\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>ARC-Hunyuan-Video-7B \u652f\u6301\u672c\u5730\u8fd0\u884c\u548c\u5728\u7ebf API \u8c03\u7528\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4>1. \u89c6\u9891\u5185\u5bb9\u7406\u89e3<\/h4>\n<p>\u7528\u6237\u53ef\u8f93\u5165\u77ed\u89c6\u9891\u6587\u4ef6\uff08\u5982 MP4 \u683c\u5f0f\uff09\uff0c\u6a21\u578b\u4f1a\u5206\u6790\u89c6\u9891\u4e2d\u7684\u89c6\u89c9\u3001\u97f3\u9891\u548c\u6587\u672c\u5185\u5bb9\uff0c\u8f93\u51fa\u7ed3\u6784\u5316\u63cf\u8ff0\u3002\u4f8b\u5982\uff0c\u8f93\u5165\u4e00\u4e2a TikTok \u641e\u7b11\u77ed\u89c6\u9891\uff0c\u6a21\u578b\u80fd\u63d0\u53d6\u89c6\u9891\u4e2d\u7684\u52a8\u4f5c\u3001\u5bf9\u8bdd\u548c\u80cc\u666f\u97f3\u4e50\uff0c\u751f\u6210\u8be6\u7ec6\u7684\u4e8b\u4ef6\u63cf\u8ff0\u3002<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u51c6\u5907\u89c6\u9891\u6587\u4ef6\uff0c\u653e\u7f6e\u5728\u00a0<code>data\/input\/<\/code>\u00a0\u76ee\u5f55\u3002<\/li>\n<li>\u8fd0\u884c\u63a8\u7406\u811a\u672c\uff1a\n<pre><code>python inference.py --video_path data\/input\/sample.mp4 --task content_understanding\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c\u4fdd\u5b58\u5728\u00a0<code>output\/<\/code>\u00a0\u76ee\u5f55\uff0c\u683c\u5f0f\u4e3a JSON\uff0c\u5305\u542b\u89c6\u9891\u5185\u5bb9\u7684\u8be6\u7ec6\u63cf\u8ff0\u3002<\/li>\n<\/ul>\n<h4>2. \u65f6\u95f4\u6233\u6807\u6ce8<\/h4>\n<p>\u6a21\u578b\u652f\u6301\u4e3a\u89c6\u9891\u751f\u6210\u5e26\u65f6\u95f4\u6233\u7684\u63cf\u8ff0\uff0c\u9002\u5408\u9700\u8981\u7cbe\u786e\u4e8b\u4ef6\u5b9a\u4f4d\u7684\u5e94\u7528\uff0c\u5982\u89c6\u9891\u526a\u8f91\u6216\u641c\u7d22\u3002<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fd0\u884c\u65f6\u95f4\u6233\u6807\u6ce8\uff1a\n<pre><code>python inference.py --video_path data\/input\/sample.mp4 --task timestamp_captioning\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u793a\u4f8b\uff1a\n<pre><code>[\r\n{\"start_time\": \"00:01\", \"end_time\": \"00:03\", \"description\": \"\u4eba\u7269A\u8fdb\u5165\u753b\u9762\uff0c\u5fae\u7b11\u6325\u624b\"},\r\n{\"start_time\": \"00:04\", \"end_time\": \"00:06\", \"description\": \"\u80cc\u666f\u97f3\u4e50\u54cd\u8d77\uff0c\u4eba\u7269A\u5f00\u59cb\u8df3\u821e\"}\r\n]\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>3. \u89c6\u9891\u95ee\u7b54<\/h4>\n<p>\u7528\u6237\u53ef\u9488\u5bf9\u89c6\u9891\u63d0\u51fa\u5f00\u653e\u6027\u95ee\u9898\uff0c\u6a21\u578b\u7ed3\u5408\u89c6\u89c9\u548c\u97f3\u9891\u4fe1\u606f\u56de\u7b54\u3002\u4f8b\u5982\uff0c\u201c\u89c6\u9891\u4e2d\u7684\u4eba\u7269\u5728\u505a\u4ec0\u4e48\uff1f\u201d\u6216\u201c\u89c6\u9891\u8868\u8fbe\u4e86\u4ec0\u4e48\u60c5\u611f\uff1f\u201d<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u521b\u5efa\u95ee\u9898\u6587\u4ef6\u00a0<code>questions.json<\/code>\uff0c\u683c\u5f0f\u5982\u4e0b\uff1a\n<pre><code>[\r\n{\"video\": \"sample.mp4\", \"question\": \"\u89c6\u9891\u4e2d\u7684\u4e3b\u8981\u6d3b\u52a8\u662f\u4ec0\u4e48\uff1f\"}\r\n]\r\n<\/code><\/pre>\n<\/li>\n<li>\u8fd0\u884c\u95ee\u7b54\u811a\u672c\uff1a\n<pre><code>python inference.py --question_file questions.json --task video_qa\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c\u4e3a JSON \u683c\u5f0f\uff0c\u5305\u542b\u95ee\u9898\u7684\u7b54\u6848\u3002<\/li>\n<\/ul>\n<h4>4. \u65f6\u95f4\u5b9a\u4f4d<\/h4>\n<p>\u65f6\u95f4\u5b9a\u4f4d\u529f\u80fd\u53ef\u5b9a\u4f4d\u89c6\u9891\u4e2d\u7279\u5b9a\u4e8b\u4ef6\u7684\u7247\u6bb5\u3002\u4f8b\u5982\uff0c\u67e5\u627e\u201c\u4eba\u7269\u8df3\u821e\u201d\u7684\u7247\u6bb5\u3002<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8fd0\u884c\u5b9a\u4f4d\u811a\u672c\uff1a\n<pre><code>python inference.py --video_path data\/input\/sample.mp4 --task temporal_grounding --query \"\u4eba\u7269\u8df3\u821e\"\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c\u4e3a\u65f6\u95f4\u6bb5\uff0c\u5982\u00a0<code>00:04-00:06<\/code>\u3002<\/li>\n<\/ul>\n<h4>5. \u89c6\u9891\u6458\u8981<\/h4>\n<p>\u6a21\u578b\u53ef\u751f\u6210\u89c6\u9891\u5185\u5bb9\u7684\u7b80\u6d01\u6458\u8981\uff0c\u7a81\u51fa\u6838\u5fc3\u4fe1\u606f\u3002<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8fd0\u884c\u6458\u8981\u811a\u672c\uff1a\n<pre><code>python inference.py --video_path data\/input\/sample.mp4 --task summarization\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u51fa\u793a\u4f8b\uff1a\n<pre><code>\u89c6\u9891\u5c55\u793a\u4e86\u4e00\u4f4d\u4eba\u7269\u5728\u516c\u56ed\u8df3\u821e\uff0c\u80cc\u666f\u97f3\u4e50\u6b22\u5feb\uff0c\u4f20\u9012\u4e86\u8f7b\u677e\u6109\u5feb\u7684\u60c5\u7eea\u3002\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>6. \u5728\u7ebf API \u4f7f\u7528<\/h4>\n<p>\u817e\u8baf ARC \u63d0\u4f9b\u5728\u7ebf API\uff0c\u7528\u6237\u53ef\u901a\u8fc7 Hugging Face \u6216\u5b98\u65b9 demo \u8bbf\u95ee\u3002\u8bbf\u95ee demo \u9875\u9762\uff0c\u4e0a\u4f20\u89c6\u9891\u6216\u8f93\u5165\u95ee\u9898\uff0c\u6a21\u578b\u4f1a\u5b9e\u65f6\u8fd4\u56de\u7ed3\u679c\u3002<\/p>\n<p><strong>\u64cd\u4f5c\u6b65\u9aa4<\/strong>\uff1a<\/p>\n<ul>\n<li>\u8bbf\u95ee Hugging Face \u7684 ARC-Hunyuan-Video-7B demo \u9875\u9762\u3002<\/li>\n<li>\u4e0a\u4f20\u89c6\u9891\u6587\u4ef6\u6216\u8f93\u5165\u95ee\u9898\u3002<\/li>\n<li>\u67e5\u770b\u8f93\u51fa\u7ed3\u679c\uff0c\u652f\u6301\u4e0b\u8f7d JSON \u683c\u5f0f\u7684\u5206\u6790\u6570\u636e\u3002<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u89c6\u9891\u5206\u8fa8\u7387<\/strong>\uff1a\u5728\u7ebf demo \u4f7f\u7528\u538b\u7f29\u5206\u8fa8\u7387\uff0c\u53ef\u80fd\u5f71\u54cd\u6027\u80fd\u3002\u5efa\u8bae\u672c\u5730\u8fd0\u884c\u4ee5\u83b7\u5f97\u6700\u4f73\u6548\u679c\u3002<\/li>\n<li><strong>\u786c\u4ef6\u8981\u6c42<\/strong>\uff1a\u63a8\u8350\u4f7f\u7528 NVIDIA H20 GPU \u6216\u66f4\u9ad8\u914d\u7f6e\uff0c\u786e\u4fdd\u63a8\u7406\u901f\u5ea6\u3002<\/li>\n<li><strong>\u8bed\u8a00\u652f\u6301<\/strong>\uff1a\u6a21\u578b\u5bf9\u4e2d\u6587\u89c6\u9891\u4f18\u5316\u66f4\u597d\uff0c\u82f1\u6587\u89c6\u9891\u8868\u73b0\u7a0d\u900a\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u89c6\u9891\u641c\u7d22<\/strong><br \/>\n\u7528\u6237\u53ef\u901a\u8fc7\u5173\u952e\u8bcd\u641c\u7d22\u89c6\u9891\u4e2d\u7684\u7279\u5b9a\u4e8b\u4ef6\u6216\u5185\u5bb9\uff0c\u4f8b\u5982\u5728\u89c6\u9891\u5e73\u53f0\u67e5\u627e\u201c\u70f9\u996a\u6559\u7a0b\u201d\u6216\u201c\u641e\u7b11\u7247\u6bb5\u201d\u3002<\/li>\n<li><strong>\u5185\u5bb9\u63a8\u8350<\/strong><br 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