Unverified50% confidenceFactExact time
大模型以Token为最小处理单位，主流模型的词汇库规模在3万到15万Token之间
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedFor local deployment, the largest model that fits within the available VRAM should be selected: 32 GB VRAM can support a 30B-class model, 16 GB is suitable for a model around 16B, and 8 GB is recommended for a 4B or smaller model.71% similarVerifiedThe context windows of current mainstream large models range from 32K to 200K tokens.69% similarUnverifiedEnd-to-end multimodal large model solutions typically require more than 16 GB of VRAM.67% similarUnverifiedQuantprobe claims to enable a machine with only 6GB of VRAM and 16GB of RAM to run 30B-class models at 22 tokens/s.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/582549API
curl https://kongchang.com/api/v1/knowledge/claims/582549MCP
get_claim(id=582549)