Unverified50% confidenceFactExact time
ZGCM-1 is a fully open-source dense base model with 7 billion parameters, trained from scratch.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe core proposition of ZGCM-1 is that compact models can break through parameter capacity limitations by coupling deliberate internal thinking with active external tool invocation.68% similarUnverifiedZero-initialized QKV expansion initializes the weights corresponding to newly added dimensions to zero, ensuring that the model's behavior at the start of adaptation training is identical to that before the expansion.66% similarUnverifiedDuring the mid-training phase, ZGCM-1 reformulates the agent-tool interaction process as a Markov Decision Process (MDP).64% similarUnverifiedzkML uses zero-knowledge proof technology to transform AI model inference processes into mathematical proofs verifiable on-chain, but the computational overhead is enormous and it can currently only handle relatively small models.63% similarUnverifiedControlNet injects spatial conditioning information without compromising the original model's capabilities by copying the encoder of a pre-trained diffusion model as a trainable copy and connecting it to the original model via zero convolution layers.61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/921649API
curl https://kongchang.com/api/v1/knowledge/claims/921649MCP
get_claim(id=921649)