[KongchangAI]
Unverified60% confidenceFactExact time

Llama-3.1 uses Grouped Query Attention (GQA) to reduce KV cache overhead, uses the SwiGLU activation function in the feed-forward network, and uses RMSNorm layer normalization.

2
Sources
60%
Confidence
Long-term
Relevance
8/11/2026
First Seen

Sources

Soup CLI:4GB显卡微调80亿参数大模型的开源工具详解

Related Claims

Cite This Claim

Stable URI
https://kongchang.com/claim/732513
API
curl https://kongchang.com/api/v1/knowledge/claims/732513
MCP
get_claim(id=732513)