趋近智
参数
8B
上下文长度
8.192K
模态
Text
架构
Dense
许可证
Llama-3.1-Community
发布日期
14 Nov 2024
训练数据截止日期
-
注意力结构
Multi-Head Attention
隐藏维度大小
-
层数
-
注意力头
-
键值头
-
激活函数
-
归一化
-
位置嵌入
Absolute Position Embedding
不同量化方法和上下文大小的显存要求
An 8 billion parameter model based on Llama 3, specifically tuned for Indonesian linguistic nuances and regional cultural context.
Sahabat-AI is an Indonesian language model family co-initiated by GoTo and Indosat Ooredoo Hutchison. Developed with AI Singapore and NVIDIA, it is a collection of models (based on Gemma 2 and Llama 3) specifically optimized for Bahasa Indonesia and regional languages like Javanese and Sundanese.
没有可用的 Sahabat-AI-Llama3-8B-Instruct 评估基准。