[KongchangAI]
Expired50% confidencePredictionExact time

The developer assumes that as total parameter count grows from 105M to 206M and then to 402M, decoding speed can be maintained constant as long as the activated slice size remains unchanged.

1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/17/2026
First Seen

This claim has expired. It is kept for the record and no longer describes the current state.

Valid until: 10/15/2026(expired)

Sources

Training a CPU-Native LLM on Zero Budget: The Architectural Gamble of Ternary Quantization × Sparse MoE

Related Claims

UnverifiedFull-precision video diffusion model inference typically requires a GPU with more than 24 GB of VRAM, whereas 0.4MP with 10-step Turbo acceleration may reduce VRAM requirements to the 12–16 GB level.66% similar

Cite This Claim

Stable URI
https://kongchang.com/claim/538384
API
curl https://kongchang.com/api/v1/knowledge/claims/538384
MCP
get_claim(id=538384)