llama2模型参数

打印 上一主题 下一主题

主题 570|帖子 570|积分 1718

tok_embeddings.weight  [32000, 4096]
norm.weight  [4096]
output.weight  [32000, 4096]
layers.0.attention.wq.weight  [4096, 4096]
layers.0.attention.wk.weight  [4096, 4096]
layers.0.attention.wv.weight  [4096, 4096]
layers.0.attention.wo.weight  [4096, 4096]
layers.0.feed_forward.w1.weight  [11008, 4096]
layers.0.feed_forward.w2.weight  [4096, 11008]
layers.0.feed_forward.w3.weight  [11008, 4096]
layers.0.attention_norm.weight  [4096]
layers.0.ffn_norm.weight  [4096]
layers.1.attention.wq.weight  [4096, 4096]
layers.1.attention.wk.weight  [4096, 4096]
layers.1.attention.wv.weight  [4096, 4096]
layers.1.attention.wo.weight  [4096, 4096]
layers.1.feed_forward.w1.weight  [11008, 4096]
layers.1.feed_forward.w2.weight  [4096, 11008]
layers.1.feed_forward.w3.weight  [11008, 4096]
layers.1.attention_norm.weight  [4096]
layers.1.ffn_norm.weight  [4096]
layers.2.attention.wq.weight  [4096, 4096]
layers.2.attention.wk.weight  [4096, 4096]
layers.2.attention.wv.weight  [4096, 4096]
layers.2.attention.wo.weight  [4096, 4096]
layers.2.feed_forward.w1.weight  [11008, 4096]
layers.2.feed_forward.w2.weight  [4096, 11008]
layers.2.feed_forward.w3.weight  [11008, 4096]
layers.2.attention_norm.weight  [4096]
layers.2.ffn_norm.weight  [4096]
layers.3.attention.wq.weight  [4096, 4096]
layers.3.attention.wk.weight  [4096, 4096]
layers.3.attention.wv.weight  [4096, 4096]
layers.3.attention.wo.weight  [4096, 4096]
layers.3.feed_forward.w1.weight  [11008, 4096]
layers.3.feed_forward.w2.weight  [4096, 11008]
layers.3.feed_forward.w3.weight  [11008, 4096]
layers.3.attention_norm.weight  [4096]
layers.3.ffn_norm.weight  [4096]
layers.4.attention.wq.weight  [4096, 4096]
layers.4.attention.wk.weight  [4096, 4096]
layers.4.attention.wv.weight  [4096, 4096]
layers.4.attention.wo.weight  [4096, 4096]
layers.4.feed_forward.w1.weight  [11008, 4096]
layers.4.feed_forward.w2.weight  [4096, 11008]
layers.4.feed_forward.w3.weight  [11008, 4096]
layers.4.attention_norm.weight  [4096]
layers.4.ffn_norm.weight  [4096]
layers.5.attention.wq.weight  [4096, 4096]
layers.5.attention.wk.weight  [4096, 4096]
layers.5.attention.wv.weight  [4096, 4096]
layers.5.attention.wo.weight  [4096, 4096]
layers.5.feed_forward.w1.weight  [11008, 4096]
layers.5.feed_forward.w2.weight  [4096, 11008]
layers.5.feed_forward.w3.weight  [11008, 4096]
layers.5.attention_norm.weight  [4096]
layers.5.ffn_norm.weight  [4096]
layers.6.attention.wq.weight  [4096, 4096]
layers.6.attention.wk.weight  [4096, 4096]
layers.6.attention.wv.weight  [4096, 4096]
layers.6.attention.wo.weight  [4096, 4096]
layers.6.feed_forward.w1.weight  [11008, 4096]
layers.6.feed_forward.w2.weight  [4096, 11008]
layers.6.feed_forward.w3.weight  [11008, 4096]
layers.6.attention_norm.weight  [4096]
layers.6.ffn_norm.weight  [4096]
layers.7.attention.wq.weight  [4096, 4096]
layers.7.attention.wk.weight  [4096, 4096]
layers.7.attention.wv.weight  [4096, 4096]
layers.7.attention.wo.weight  [4096, 4096]
layers.7.feed_forward.w1.weight  [11008, 4096]
layers.7.feed_forward.w2.weight  [4096, 11008]
layers.7.feed_forward.w3.weight  [11008, 4096]
layers.7.attention_norm.weight  [4096]
layers.7.ffn_norm.weight  [4096]
layers.8.attention.wq.weight  [4096, 4096]
layers.8.attention.wk.weight  [4096, 4096]
layers.8.attention.wv.weight  [4096, 4096]
layers.8.attention.wo.weight  [4096, 4096]
layers.8.feed_forward.w1.weight  [11008, 4096]
layers.8.feed_forward.w2.weight  [4096, 11008]
layers.8.feed_forward.w3.weight  [11008, 4096]
layers.8.attention_norm.weight  [4096]
layers.8.ffn_norm.weight  [4096]
layers.9.attention.wq.weight  [4096, 4096]
layers.9.attention.wk.weight  [4096, 4096]
layers.9.attention.wv.weight  [4096, 4096]
layers.9.attention.wo.weight  [4096, 4096]
layers.9.feed_forward.w1.weight  [11008, 4096]
layers.9.feed_forward.w2.weight  [4096, 11008]
layers.9.feed_forward.w3.weight  [11008, 4096]
layers.9.attention_norm.weight  [4096]
layers.9.ffn_norm.weight  [4096]
layers.10.attention.wq.weight  [4096, 4096]
layers.10.attention.wk.weight  [4096, 4096]
layers.10.attention.wv.weight  [4096, 4096]
layers.10.attention.wo.weight  [4096, 4096]
layers.10.feed_forward.w1.weight  [11008, 4096]
layers.10.feed_forward.w2.weight  [4096, 11008]
layers.10.feed_forward.w3.weight  [11008, 4096]
layers.10.attention_norm.weight  [4096]
layers.10.ffn_norm.weight  [4096]
layers.11.attention.wq.weight  [4096, 4096]
layers.11.attention.wk.weight  [4096, 4096]
layers.11.attention.wv.weight  [4096, 4096]
layers.11.attention.wo.weight  [4096, 4096]
layers.11.feed_forward.w1.weight  [11008, 4096]
layers.11.feed_forward.w2.weight  [4096, 11008]
layers.11.feed_forward.w3.weight  [11008, 4096]
layers.11.attention_norm.weight  [4096]
layers.11.ffn_norm.weight  [4096]
layers.12.attention.wq.weight  [4096, 4096]
layers.12.attention.wk.weight  [4096, 4096]
layers.12.attention.wv.weight  [4096, 4096]
layers.12.attention.wo.weight  [4096, 4096]
layers.12.feed_forward.w1.weight  [11008, 4096]
layers.12.feed_forward.w2.weight  [4096, 11008]
layers.12.feed_forward.w3.weight  [11008, 4096]
layers.12.attention_norm.weight  [4096]
layers.12.ffn_norm.weight  [4096]
layers.13.attention.wq.weight  [4096, 4096]
layers.13.attention.wk.weight  [4096, 4096]
layers.13.attention.wv.weight  [4096, 4096]
layers.13.attention.wo.weight  [4096, 4096]
layers.13.feed_forward.w1.weight  [11008, 4096]
layers.13.feed_forward.w2.weight  [4096, 11008]
layers.13.feed_forward.w3.weight  [11008, 4096]
layers.13.attention_norm.weight  [4096]
layers.13.ffn_norm.weight  [4096]
layers.14.attention.wq.weight  [4096, 4096]
layers.14.attention.wk.weight  [4096, 4096]
layers.14.attention.wv.weight  [4096, 4096]
layers.14.attention.wo.weight  [4096, 4096]
layers.14.feed_forward.w1.weight  [11008, 4096]
layers.14.feed_forward.w2.weight  [4096, 11008]
layers.14.feed_forward.w3.weight  [11008, 4096]
layers.14.attention_norm.weight  [4096]
layers.14.ffn_norm.weight  [4096]
layers.15.attention.wq.weight  [4096, 4096]
layers.15.attention.wk.weight  [4096, 4096]
layers.15.attention.wv.weight  [4096, 4096]
layers.15.attention.wo.weight  [4096, 4096]
layers.15.feed_forward.w1.weight  [11008, 4096]
layers.15.feed_forward.w2.weight  [4096, 11008]
layers.15.feed_forward.w3.weight  [11008, 4096]
layers.15.attention_norm.weight  [4096]
layers.15.ffn_norm.weight  [4096]
layers.16.attention.wq.weight  [4096, 4096]
layers.16.attention.wk.weight  [4096, 4096]
layers.16.attention.wv.weight  [4096, 4096]
layers.16.attention.wo.weight  [4096, 4096]
layers.16.feed_forward.w1.weight  [11008, 4096]
layers.16.feed_forward.w2.weight  [4096, 11008]
layers.16.feed_forward.w3.weight  [11008, 4096]
layers.16.attention_norm.weight  [4096]
layers.16.ffn_norm.weight  [4096]
layers.17.attention.wq.weight  [4096, 4096]
layers.17.attention.wk.weight  [4096, 4096]
layers.17.attention.wv.weight  [4096, 4096]
layers.17.attention.wo.weight  [4096, 4096]
layers.17.feed_forward.w1.weight  [11008, 4096]
layers.17.feed_forward.w2.weight  [4096, 11008]
layers.17.feed_forward.w3.weight  [11008, 4096]
layers.17.attention_norm.weight  [4096]
layers.17.ffn_norm.weight  [4096]
layers.18.attention.wq.weight  [4096, 4096]
layers.18.attention.wk.weight  [4096, 4096]
layers.18.attention.wv.weight  [4096, 4096]
layers.18.attention.wo.weight  [4096, 4096]
layers.18.feed_forward.w1.weight  [11008, 4096]
layers.18.feed_forward.w2.weight  [4096, 11008]
layers.18.feed_forward.w3.weight  [11008, 4096]
layers.18.attention_norm.weight  [4096]
layers.18.ffn_norm.weight  [4096]
layers.19.attention.wq.weight  [4096, 4096]
layers.19.attention.wk.weight  [4096, 4096]
layers.19.attention.wv.weight  [4096, 4096]
layers.19.attention.wo.weight  [4096, 4096]
layers.19.feed_forward.w1.weight  [11008, 4096]
layers.19.feed_forward.w2.weight  [4096, 11008]
layers.19.feed_forward.w3.weight  [11008, 4096]
layers.19.attention_norm.weight  [4096]
layers.19.ffn_norm.weight  [4096]
layers.20.attention.wq.weight  [4096, 4096]
layers.20.attention.wk.weight  [4096, 4096]
layers.20.attention.wv.weight  [4096, 4096]
layers.20.attention.wo.weight  [4096, 4096]
layers.20.feed_forward.w1.weight  [11008, 4096]
layers.20.feed_forward.w2.weight  [4096, 11008]
layers.20.feed_forward.w3.weight  [11008, 4096]
layers.20.attention_norm.weight  [4096]
layers.20.ffn_norm.weight  [4096]
layers.21.attention.wq.weight  [4096, 4096]
layers.21.attention.wk.weight  [4096, 4096]
layers.21.attention.wv.weight  [4096, 4096]
layers.21.attention.wo.weight  [4096, 4096]
layers.21.feed_forward.w1.weight  [11008, 4096]
layers.21.feed_forward.w2.weight  [4096, 11008]
layers.21.feed_forward.w3.weight  [11008, 4096]
layers.21.attention_norm.weight  [4096]
layers.21.ffn_norm.weight  [4096]
layers.22.attention.wq.weight  [4096, 4096]
layers.22.attention.wk.weight  [4096, 4096]
layers.22.attention.wv.weight  [4096, 4096]
layers.22.attention.wo.weight  [4096, 4096]
layers.22.feed_forward.w1.weight  [11008, 4096]
layers.22.feed_forward.w2.weight  [4096, 11008]
layers.22.feed_forward.w3.weight  [11008, 4096]
layers.22.attention_norm.weight  [4096]
layers.22.ffn_norm.weight  [4096]
layers.23.attention.wq.weight  [4096, 4096]
layers.23.attention.wk.weight  [4096, 4096]
layers.23.attention.wv.weight  [4096, 4096]
layers.23.attention.wo.weight  [4096, 4096]
layers.23.feed_forward.w1.weight  [11008, 4096]
layers.23.feed_forward.w2.weight  [4096, 11008]
layers.23.feed_forward.w3.weight  [11008, 4096]
layers.23.attention_norm.weight  [4096]
layers.23.ffn_norm.weight  [4096]
layers.24.attention.wq.weight  [4096, 4096]
layers.24.attention.wk.weight  [4096, 4096]
layers.24.attention.wv.weight  [4096, 4096]
layers.24.attention.wo.weight  [4096, 4096]
layers.24.feed_forward.w1.weight  [11008, 4096]
layers.24.feed_forward.w2.weight  [4096, 11008]
layers.24.feed_forward.w3.weight  [11008, 4096]
layers.24.attention_norm.weight  [4096]
layers.24.ffn_norm.weight  [4096]
layers.25.attention.wq.weight  [4096, 4096]
layers.25.attention.wk.weight  [4096, 4096]
layers.25.attention.wv.weight  [4096, 4096]
layers.25.attention.wo.weight  [4096, 4096]
layers.25.feed_forward.w1.weight  [11008, 4096]
layers.25.feed_forward.w2.weight  [4096, 11008]
layers.25.feed_forward.w3.weight  [11008, 4096]
layers.25.attention_norm.weight  [4096]
layers.25.ffn_norm.weight  [4096]
layers.26.attention.wq.weight  [4096, 4096]
layers.26.attention.wk.weight  [4096, 4096]
layers.26.attention.wv.weight  [4096, 4096]
layers.26.attention.wo.weight  [4096, 4096]
layers.26.feed_forward.w1.weight  [11008, 4096]
layers.26.feed_forward.w2.weight  [4096, 11008]
layers.26.feed_forward.w3.weight  [11008, 4096]
layers.26.attention_norm.weight  [4096]
layers.26.ffn_norm.weight  [4096]
layers.27.attention.wq.weight  [4096, 4096]
layers.27.attention.wk.weight  [4096, 4096]
layers.27.attention.wv.weight  [4096, 4096]
layers.27.attention.wo.weight  [4096, 4096]
layers.27.feed_forward.w1.weight  [11008, 4096]
layers.27.feed_forward.w2.weight  [4096, 11008]
layers.27.feed_forward.w3.weight  [11008, 4096]
layers.27.attention_norm.weight  [4096]
layers.27.ffn_norm.weight  [4096]
layers.28.attention.wq.weight  [4096, 4096]
layers.28.attention.wk.weight  [4096, 4096]
layers.28.attention.wv.weight  [4096, 4096]
layers.28.attention.wo.weight  [4096, 4096]
layers.28.feed_forward.w1.weight  [11008, 4096]
layers.28.feed_forward.w2.weight  [4096, 11008]
layers.28.feed_forward.w3.weight  [11008, 4096]
layers.28.attention_norm.weight  [4096]
layers.28.ffn_norm.weight  [4096]
layers.29.attention.wq.weight  [4096, 4096]
layers.29.attention.wk.weight  [4096, 4096]
layers.29.attention.wv.weight  [4096, 4096]
layers.29.attention.wo.weight  [4096, 4096]
layers.29.feed_forward.w1.weight  [11008, 4096]
layers.29.feed_forward.w2.weight  [4096, 11008]
layers.29.feed_forward.w3.weight  [11008, 4096]
layers.29.attention_norm.weight  [4096]
layers.29.ffn_norm.weight  [4096]
layers.30.attention.wq.weight  [4096, 4096]
layers.30.attention.wk.weight  [4096, 4096]
layers.30.attention.wv.weight  [4096, 4096]
layers.30.attention.wo.weight  [4096, 4096]
layers.30.feed_forward.w1.weight  [11008, 4096]
layers.30.feed_forward.w2.weight  [4096, 11008]
layers.30.feed_forward.w3.weight  [11008, 4096]
layers.30.attention_norm.weight  [4096]
layers.30.ffn_norm.weight  [4096]
layers.31.attention.wq.weight  [4096, 4096]
layers.31.attention.wk.weight  [4096, 4096]
layers.31.attention.wv.weight  [4096, 4096]
layers.31.attention.wo.weight  [4096, 4096]
layers.31.feed_forward.w1.weight  [11008, 4096]
layers.31.feed_forward.w2.weight  [4096, 11008]
layers.31.feed_forward.w3.weight  [11008, 4096]
layers.31.attention_norm.weight  [4096]
layers.31.ffn_norm.weight  [4096]
rope.freqs  [64]
 

免责声明:如果侵犯了您的权益,请联系站长,我们会及时删除侵权内容,谢谢合作!更多信息从访问主页:qidao123.com:ToB企服之家,中国第一个企服评测及商务社交产业平台。
回复

使用道具 举报

0 个回复

倒序浏览

快速回复

您需要登录后才可以回帖 登录 or 立即注册

本版积分规则

宁睿

金牌会员
这个人很懒什么都没写!

标签云

快速回复 返回顶部 返回列表