Unverified50% confidenceFactExact time
The Bailian platform's free quota is calculated independently per model; 172 models on the platform are in a state of ample quota, with each model basically offering 1 million tokens of free usage.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/28/2026
First Seen
Valid until: 11/11/2026
Sources
RAG and Agent in Practice: Two Paths for LLM Integration
bilibili前端老炮10/28/2026
Related Entities
Related Claims
UnverifiedThe model places n-gram lookup tables at layers 1 and 14, with 24 hashes each indexing approximately 16 million rows, totaling 196 billion parameters, exceeding one-third of the model's weights.70% similarUnverifiedThe GPU resources required for a single inference of a hundred-billion-parameter flagship model may be 10 to 20 times higher than those of a ten-billion-parameter model.68% similarUnverifiedIn the 120B-A12B model, the total model weights are 120 billion parameters, but only about 12 billion parameters actually participate in computation during each token's forward pass.68% similarUnverifiedThe single-response output limit for most large language models is concentrated in the range of several thousand to tens of thousands of tokens.67% similarUnverifiedA model with 100 billion parameters requires approximately 80 GB of VRAM to process a single inference request, while a model with tens of billions of parameters requires only about 20 GB.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1108942API
curl https://kongchang.com/api/v1/knowledge/claims/1108942MCP
get_claim(id=1108942)