Unverified50% confidenceFactExact time
Rotary Position Embedding (RoPE) has been widely adopted by mainstream models such as LLaMA and Qwen.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedQwen, LLaMA, and ChatGLM are base models that can be used for fine-tuning.77% similarUnverifiedModern LLMs commonly adopt relative positional encoding schemes such as RoPE (Rotary Position Embedding), which has higher positional discriminability at the endpoints of a sequence, while its ability to distinguish positions in the middle decays as sequence length increases72% similarUnverifiedQwen的演进主线可概括为Qwen2.5之前卷模型结构，Qwen2.5之后卷后训练与推理64% similarUnverifiedThe Qwen team simultaneously open-sourced specialized variants including the vision-language model Qwen-VL, the code model Qwen-Coder, and the math model Qwen-Math.64% similarUnverifiedThe Qwen model can be deployed via LM Studio and used for local inference.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/823804API
curl https://kongchang.com/api/v1/knowledge/claims/823804MCP
get_claim(id=823804)