{"id":29985,"date":"2025-04-07T12:44:28","date_gmt":"2025-04-07T04:44:28","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29985"},"modified":"2025-04-07T12:44:47","modified_gmt":"2025-04-07T04:44:47","slug":"lumina-mgpt-20","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/lumina-mgpt-20\/","title":{"rendered":"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b"},"content":{"rendered":"<p>Lumina-mGPT-2.0 \u662f\u7531\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\uff08Shanghai AI Laboratory\uff09\u3001\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff08CUHK\uff09\u7b49\u673a\u6784\u8054\u5408\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6258\u7ba1\u4e8e GitHub\uff0c\u7531 Alpha-VLLM \u56e2\u961f\u7ef4\u62a4\u3002\u5b83\u662f\u4e00\u4e2a\u72ec\u7acb\u7684\u81ea\u52a8\u56de\u5f52\u6a21\u578b\uff0c\u4ece\u96f6\u5f00\u59cb\u8bad\u7ec3\uff0c\u6838\u5fc3\u529f\u80fd\u662f\u901a\u8fc7\u6587\u5b57\u751f\u6210\u591a\u6837\u5316\u7684\u9ad8\u8d28\u91cf\u56fe\u50cf\u3002\u53d1\u5e03\u4e8e 2025 \u5e74 4 \u6708 3 \u65e5\uff0c\u8fd9\u4e2a\u5de5\u5177\u4e0d\u4ec5\u652f\u6301\u57fa\u672c\u7684\u6587\u672c\u751f\u6210\u56fe\u50cf\uff0c\u8fd8\u80fd\u5904\u7406\u56fe\u50cf\u5bf9\u751f\u6210\u3001\u4e3b\u9898\u9a71\u52a8\u751f\u6210\u3001\u591a\u8f6e\u56fe\u50cf\u7f16\u8f91\u548c\u53ef\u63a7\u751f\u6210\u7b49\u591a\u79cd\u4efb\u52a1\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29986\" title=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/1a2f8c65760450f.jpg\" alt=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" width=\"737\" height=\"560\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/1a2f8c65760450f.jpg 737w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/1a2f8c65760450f-16x12.jpg 16w\" sizes=\"auto, (max-width: 737px) 100vw, 737px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29987\" title=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/6dbe2d1b1661ccf.jpg\" alt=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" width=\"749\" height=\"595\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/6dbe2d1b1661ccf.jpg 749w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/6dbe2d1b1661ccf-15x12.jpg 15w\" sizes=\"auto, (max-width: 749px) 100vw, 749px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-29988\" title=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/761a4bc8d202ca2.jpg\" alt=\"Lumina-mGPT-2.0\uff1a\u5904\u7406\u591a\u79cd\u56fe\u50cf\u751f\u6210\u4efb\u52a1\u7684\u81ea\u56de\u5f52\u56fe\u50cf\u751f\u6210\u6a21\u578b-1\" width=\"774\" height=\"591\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/761a4bc8d202ca2.jpg 774w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/761a4bc8d202ca2-768x586.jpg 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/761a4bc8d202ca2-16x12.jpg 16w\" sizes=\"auto, (max-width: 774px) 100vw, 774px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u652f\u6301\u8f93\u5165\u6587\u5b57\u751f\u6210\u9ad8\u8d28\u91cf\u56fe\u50cf\uff0c\u6700\u9ad8\u5206\u8fa8\u7387 768&#215;768\u3002<\/li>\n<li>\u80fd\u751f\u6210\u56fe\u50cf\u5bf9\uff0c\u9002\u5408\u5bf9\u6bd4\u6216\u914d\u5bf9\u4efb\u52a1\u3002<\/li>\n<li>\u63d0\u4f9b\u4e3b\u9898\u9a71\u52a8\u751f\u6210\uff0c\u6839\u636e\u7279\u5b9a\u4e3b\u9898\u751f\u6210\u76f8\u5173\u56fe\u7247\u3002<\/li>\n<li>\u652f\u6301\u591a\u8f6e\u56fe\u50cf\u7f16\u8f91\uff0c\u7528\u6237\u53ef\u9010\u6b65\u8c03\u6574\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<li>\u5305\u542b\u53ef\u63a7\u751f\u6210\u529f\u80fd\uff0c\u7cbe\u786e\u8c03\u6574\u56fe\u50cf\u7ec6\u8282\u3002<\/li>\n<li>\u63d0\u4f9b\u5fae\u8c03\u4ee3\u7801\uff0c\u7528\u6237\u53ef\u6839\u636e\u9700\u6c42\u4f18\u5316\u6a21\u578b\u3002<\/li>\n<li>\u652f\u6301\u52a0\u901f\u63a8\u7406\uff0c\u7f29\u77ed\u56fe\u50cf\u751f\u6210\u65f6\u95f4\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u5728\u672c\u5730\u4f7f\u7528 Lumina-mGPT-2.0\uff0c\u9700\u8981\u5148\u642d\u5efa\u8fd0\u884c\u73af\u5883\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u4e0b\u8f7d\u9879\u76ee\u4ee3\u7801<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8f93\u5165\u4ee5\u4e0b\u547d\u4ee4\u514b\u9686\u4ee3\u7801\u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/Alpha-VLLM\/Lumina-mGPT-2.0.git\r\n<\/code><\/pre>\n<p>\u7136\u540e\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff1a<\/p>\n<pre><code>cd Lumina-mGPT-2.0\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u521b\u5efa\u865a\u62df\u73af\u5883<\/strong><br \/>\n\u7528 Conda \u521b\u5efa\u4e00\u4e2a Python 3.10 \u7684\u72ec\u7acb\u73af\u5883\uff0c\u907f\u514d\u51b2\u7a81\uff1a<\/li>\n<\/ol>\n<pre><code>conda create -n lumina_mgpt_2 python=3.10 -y\r\n<\/code><\/pre>\n<p>\u6fc0\u6d3b\u73af\u5883\uff1a<\/p>\n<pre><code>conda activate lumina_mgpt_2\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong><br \/>\n\u5b89\u88c5\u9879\u76ee\u6240\u9700\u7684 Python \u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u63a5\u7740\u5b89\u88c5 Flash Attention \u6a21\u5757\uff08\u52a0\u901f\u8ba1\u7b97\u7528\uff09\uff1a<\/p>\n<pre><code>pip install https:\/\/github.com\/Dao-AILab\/flash-attention\/releases\/download\/v2.7.4.post1\/flash_attn-2.7.4.post1+cu12torch2.3cxx11abiFALSE-cp310-cp310-linux_x86_64.whl --no-build-isolation\r\n<\/code><\/pre>\n<p>\u6700\u540e\u5c06\u9879\u76ee\u5b89\u88c5\u4e3a\u672c\u5730\u5305\uff1a<\/p>\n<pre><code>pip install -e .\r\n<\/code><\/pre>\n<ol start=\"4\">\n<li><strong>\u4e0b\u8f7d MoVQGAN \u6743\u91cd<\/strong><br \/>\n\u9879\u76ee\u4f9d\u8d56 MoVQGAN \u6a21\u578b\u6743\u91cd\u3002\u521b\u5efa\u76ee\u5f55\u5e76\u4e0b\u8f7d\uff1a<\/li>\n<\/ol>\n<pre><code>mkdir -p lumina_mgpt\/movqgan\/270M\r\nwget -O lumina_mgpt\/movqgan\/270M\/movqgan_270M.ckpt https:\/\/huggingface.co\/ai-forever\/MoVQGAN\/resolve\/main\/movqgan_270M.ckpt\r\n<\/code><\/pre>\n<ol start=\"5\">\n<li><strong>\u6d4b\u8bd5\u5b89\u88c5<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u68c0\u67e5\u73af\u5883\u662f\u5426\u6b63\u5e38\uff1a<\/li>\n<\/ol>\n<pre><code>python generate_examples\/generate.py --model_path Alpha-VLLM\/Lumina-mGPT-2.0 --save_path save_samples\/\r\n<\/code><\/pre>\n<p>\u5982\u679c\u6ca1\u6709\u62a5\u9519\uff0c\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h3>\u5982\u4f55\u4f7f\u7528\u4e3b\u8981\u529f\u80fd<\/h3>\n<p>Lumina-mGPT-2.0 \u7684\u4e3b\u8981\u529f\u80fd\u662f\u901a\u8fc7\u6587\u5b57\u751f\u6210\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u64cd\u4f5c\uff1a<\/p>\n<ul>\n<li><strong>\u57fa\u672c\u56fe\u50cf\u751f\u6210<\/strong><br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\u751f\u6210\u811a\u672c\uff0c\u8f93\u5165\u6587\u5b57\u63cf\u8ff0\u3002\u4f8b\u5982\uff0c\u60f3\u751f\u6210\u201c\u591c\u665a\u7684\u57ce\u5e02\u5929\u9645\u7ebf\uff0c\u706f\u706b\u8f89\u714c\u201d\u7684\u56fe\u7247\uff1a<\/li>\n<\/ul>\n<pre><code>python generate_examples\/generate.py --model_path Alpha-VLLM\/Lumina-mGPT-2.0 --save_path save_samples\/ --cfg 4.0 --top_k 4096 --temperature 1.0 --width 768 --height 768 --prompt \"City skyline at night with bright lights.\"\r\n<\/code><\/pre>\n<p>\u53c2\u6570\u8bf4\u660e\uff1a<\/p>\n<ul>\n<li><code>--model_path<\/code>\uff1a\u6a21\u578b\u8def\u5f84\u3002<\/li>\n<li><code>--save_path<\/code>\uff1a\u56fe\u7247\u4fdd\u5b58\u76ee\u5f55\u3002<\/li>\n<li><code>--cfg<\/code>\uff1a\u6587\u672c\u4e0e\u56fe\u50cf\u76f8\u5173\u6027\uff0c\u9ed8\u8ba4 4.0\uff0c\u503c\u8d8a\u5927\u8d8a\u8d34\u8fd1\u63cf\u8ff0\u3002<\/li>\n<li><code>--top_k<\/code>\uff1a\u63a7\u5236\u751f\u6210\u591a\u6837\u6027\uff0c\u9ed8\u8ba4 4096\u3002<\/li>\n<li><code>--temperature<\/code>\uff1a\u63a7\u5236\u968f\u673a\u6027\uff0c\u9ed8\u8ba4 1.0\u3002<\/li>\n<li><code>--width<\/code>\u00a0\u548c\u00a0<code>--height<\/code>\uff1a\u8bbe\u7f6e\u5206\u8fa8\u7387\uff0c\u6700\u5927 768&#215;768\u3002<\/li>\n<li><code>--prompt<\/code>\uff1a\u6587\u5b57\u63cf\u8ff0\uff0c\u652f\u6301\u82f1\u6587\u6216\u4e2d\u6587\u3002<br \/>\n\u751f\u6210\u7684\u56fe\u7247\u4f1a\u4fdd\u5b58\u5728\u00a0<code>save_samples<\/code>\u00a0\u6587\u4ef6\u5939\u3002<\/li>\n<li><strong>\u52a0\u901f\u751f\u6210<\/strong><br \/>\n\u60f3\u66f4\u5feb\u751f\u6210\u56fe\u7247\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e24\u79cd\u52a0\u901f\u9009\u9879\uff1a<\/li>\n<li>\u6dfb\u52a0\u00a0<code>--speculative_jacobi<\/code>\uff1a\u542f\u7528\u63a8\u6d4b\u96c5\u53ef\u6bd4\u89e3\u7801\uff0c\u7f29\u77ed\u751f\u6210\u65f6\u95f4\u3002<\/li>\n<li>\u6dfb\u52a0\u00a0<code>--quant<\/code>\uff1a\u542f\u7528\u6a21\u578b\u91cf\u5316\uff0c\u964d\u4f4e\u663e\u5b58\u5360\u7528\u3002<br \/>\n\u793a\u4f8b\u547d\u4ee4\uff1a<\/li>\n<\/ul>\n<pre><code>python generate_examples\/generate.py --model_path Alpha-VLLM\/Lumina-mGPT-2.0 --save_path save_samples\/ --cfg 4.0 --top_k 4096 --temperature 1.0 --width 768 --height 768 --speculative_jacobi --quant\r\n<\/code><\/pre>\n<p>\u5b98\u65b9\u6d4b\u8bd5\u6570\u636e\uff08\u57fa\u4e8e A100 \u663e\u5361\uff09\uff1a<\/p>\n<ul>\n<li>\u666e\u901a\u751f\u6210\uff1a694 \u79d2\uff0c\u5360\u7528 80 GB \u663e\u5b58\u3002<\/li>\n<li>\u52a0\u63a8\u6d4b\u89e3\u7801\uff1a324 \u79d2\uff0c79.2 GB \u663e\u5b58\u3002<\/li>\n<li>\u52a0\u63a8\u6d4b\u89e3\u7801\u548c\u91cf\u5316\uff1a304 \u79d2\uff0c33.8 GB \u663e\u5b58\u3002<\/li>\n<li><strong>\u591a\u8f6e\u7f16\u8f91\u548c\u53ef\u63a7\u751f\u6210<\/strong><br \/>\n\u652f\u6301\u591a\u8f6e\u8c03\u6574\u56fe\u50cf\u3002\u4f8b\u5982\uff0c\u5148\u751f\u6210\u4e00\u5f20\u56fe\u7247\uff0c\u518d\u7528\u65b0\u63cf\u8ff0\u4fee\u6539\u90e8\u5206\u7ec6\u8282\u3002\u5177\u4f53\u64cd\u4f5c\u9700\u53c2\u8003\u00a0<code>generate_examples<\/code>\u00a0\u6587\u4ef6\u5939\u4e2d\u7684\u793a\u4f8b\u811a\u672c\uff0c\u6216\u8005\u67e5\u770b\u5b98\u65b9\u6587\u6863\u00a0<code>&lt;\u9879\u76ee\u6839\u76ee\u5f55&gt;\/README.md<\/code>\u3002<\/li>\n<li><strong>\u5fae\u8c03\u6a21\u578b<\/strong><br \/>\n\u5982\u679c\u60f3\u7528\u81ea\u5df1\u7684\u6570\u636e\u4f18\u5316\u6a21\u578b\uff0c\u53ef\u4ee5\u53c2\u8003\u00a0<code>&lt;\u9879\u76ee\u6839\u76ee\u5f55&gt;\/TRAIN.md<\/code>\u00a0\u6587\u4ef6\u3002\u5b83\u63d0\u4f9b\u4e86\u8be6\u7ec6\u7684\u5fae\u8c03\u6b65\u9aa4\uff0c\u5305\u62ec\u6570\u636e\u51c6\u5907\u548c\u8bad\u7ec3\u547d\u4ee4\u3002<\/li>\n<\/ul>\n<h3>\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<ol>\n<li>\u6309\u6b65\u9aa4\u5b89\u88c5\u73af\u5883\u548c\u4f9d\u8d56\u3002<\/li>\n<li>\u4e0b\u8f7d MoVQGAN \u6743\u91cd\u3002<\/li>\n<li>\u8f93\u5165\u6587\u5b57\u63cf\u8ff0\uff0c\u8fd0\u884c\u751f\u6210\u547d\u4ee4\u3002<\/li>\n<li>\u68c0\u67e5\u7ed3\u679c\uff0c\u8c03\u6574\u53c2\u6570\u6216\u8fdb\u884c\u591a\u8f6e\u7f16\u8f91\u3002<\/li>\n<\/ol>\n<p>\u9047\u5230\u95ee\u9898\u65f6\uff0c\u53ef\u4ee5\u67e5\u770b GitHub \u4e0a\u7684\u6587\u6863\u6216\u793e\u533a\u8ba8\u8bba\u3002\u6574\u4e2a\u8fc7\u7a0b\u6e05\u6670\uff0c\u9002\u5408\u521d\u5b66\u8005\u548c\u4e13\u4e1a\u7528\u6237\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u521b\u610f\u8bbe\u8ba1<\/strong><br \/>\n\u8bbe\u8ba1\u5e08\u8f93\u5165\u201c\u672a\u6765\u592a\u7a7a\u7ad9\u5185\u90e8\u201d\u751f\u6210\u6982\u5ff5\u56fe\uff0c\u7528\u4e8e\u9879\u76ee\u7075\u611f\u3002<\/li>\n<li><strong>\u5b66\u672f\u7814\u7a76<\/strong><br \/>\n\u7814\u7a76\u8005\u7528\u5b83\u6d4b\u8bd5\u81ea\u52a8\u56de\u5f52\u6a21\u578b\u7684\u56fe\u50cf\u751f\u6210\u80fd\u529b\uff0c\u6216\u5fae\u8c03\u6a21\u578b\u8fdb\u884c\u5b9e\u9a8c\u3002<\/li>\n<li><strong>\u5185\u5bb9\u521b\u4f5c<\/strong><br \/>\n\u535a\u4e3b\u8f93\u5165\u201c\u6625\u5929\u7684\u82b1\u56ed\u201d\u751f\u6210\u914d\u56fe\uff0c\u63d0\u5347\u6587\u7ae0\u89c6\u89c9\u6548\u679c\u3002<\/li>\n<li><strong>\u4e2a\u6027\u5316\u5b9a\u5236<\/strong><br \/>\n\u7528\u6237\u901a\u8fc7\u591a\u8f6e\u7f16\u8f91\u751f\u6210\u7279\u5b9a\u4e3b\u9898\u56fe\u7247\uff0c\u5982\u201c\u5e26\u516c\u53f8\u6807\u5fd7\u7684\u5e7f\u544a\u6d77\u62a5\u201d\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u9700\u8981\u4ec0\u4e48\u786c\u4ef6\u652f\u6301\uff1f<\/strong><br \/>\n\u63a8\u8350\u4f7f\u7528 A100 \u7b49\u9ad8\u6027\u80fd GPU\uff0c\u663e\u5b58\u81f3\u5c11 40 GB\u3002CPU \u53ef\u8fd0\u884c\uff0c\u4f46\u901f\u5ea6\u5f88\u6162\u3002<\/li>\n<li><strong>\u751f\u6210\u7684\u56fe\u7247\u53ef\u4ee5\u5546\u7528\u5417\uff1f<\/strong><br \/>\n\u9879\u76ee\u91c7\u7528 Apache 2.0 \u534f\u8bae\uff0c\u5141\u8bb8\u5546\u7528\uff0c\u4f46\u9700\u9075\u5b88\u534f\u8bae\u6761\u6b3e\u3002<\/li>\n<li><strong>\u4e3a\u4ec0\u4e48\u751f\u6210\u65f6\u95f4\u957f\uff1f<\/strong><br \/>\n\u9ed8\u8ba4\u8bbe\u7f6e\u4e0b\u751f\u6210 768&#215;768 \u56fe\u50cf\u9700\u8981\u51e0\u5206\u949f\u3002\u53ef\u4ee5\u7528\u00a0<code>--speculative_jacobi<\/code>\u00a0\u548c\u00a0<code>--quant<\/code>\u00a0\u52a0\u901f\u3002<\/li>\n<li><strong>\u652f\u6301\u4e2d\u6587\u63cf\u8ff0\u5417\uff1f<\/strong><br \/>\n\u652f\u6301\uff0c\u4f46\u82f1\u6587\u63cf\u8ff0\u53ef\u80fd\u66f4\u51c6\u786e\uff0c\u56e0\u4e3a\u6a21\u578b\u8bad\u7ec3\u6570\u636e\u4ee5\u82f1\u6587\u4e3a\u4e3b\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Lumina-mGPT-2.0 \u662f\u7531\u4e0a\u6d77\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\uff08Shanghai AI Laboratory\uff09\u3001\u9999\u6e2f\u4e2d\u6587\u5927\u5b66\uff08CUHK\uff09\u7b49\u673a\u6784\u8054\u5408\u5f00\u53d1\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u6258\u7ba1\u4e8e GitHub\uff0c\u7531 Alpha-VLLM 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