当向量q位于位置m时,只需要将它的第i组分量旋转mθi=m∗base−2id,就可以得到赋予了位置信息m的qm,其中d表示向量维度,在LLaMA中,base=10000。 RoPE的旋转特性 base主要用来控制分量旋转的频率,当base增大时,波形震荡周期显著变长,说明旋转速度减慢(如base=5k时约15步完成完整周期,base=50k时约80步)。 从...
比如位置插值 ( Position Interpolation, PI ),通过对RoPE进行轻微修改,并对少量数据进行微调,从而扩展上下文长度 作为一种替代方案,Reddit一网友bloc97通过该帖子,提出了“NTK-aware”插值方法,该方法考虑到高频信号的损失 此后,对“NTK感知”插值提出了两项改进...
To put it clearly, while LLM decoding, the current DynamicNTKRope is implemented as From my understanding, we should keep the rotation base consistent, which is: When decodingsequence length = seq2 As decoding sequence length increases toseq3, ...
[Bug] Llama 3 DynamicNTK RoPE is incorrect #152 Open awni opened this issue Nov 2, 2024· 0 comments Comments Member awni commented Nov 2, 2024 It's basically just wrong.. but works well enough for short sequences that it's not noticeable. We should follow the Python implementation...
当前的动态NTK缩放实际上是静态NTK缩放。对于需要处理大量并发请求的模型服务器来说，实现动态NTK可能会...
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There is a subtle rotation inconsistency in the base factor of the DynamicNTKRope implemented intransformers 4.31.0 Suppose we have a decoder model, like LLaMA-1, that utilizes DynamicNTKRope for interpolation and we want to evaluate it using perplexity. In any layer of this decoder model, aft...
是否有必要支持dynamic ntk main分支目前好像是不支持dynamic ntk,不过看这个帖子https://www.reddit.com/r/LocalLLaMA/comments/14mrgpr/dynamically_scaled_rope_further_increases/ 从图中看,dynamic ntk能取到综合长短文本的最低ppl。 是否有必要支持dynamic ntk呢?
What does this PR do? YaRN (Yet another RoPE extension method) combines the NTK-By-Parts Interpolation and Attention Scaling methods, improving upon existing RoPE interpolation methods for longer c...
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