Hugging Face's logo
Konstantin Grabko's picture

Konstantin Grabko PRO

kgrabko
17 6 20
12sri's profile picture PhysiQuanty's profile picture SRTalentsolution's profile picture
·
https://huggingface.co/CMSManhattan

AI & ML interests

Konstantin Grabko | CEO & CTO CMSManhattan inc . ----------------------------------- Follow for final releases on company page

Recent Activity

repliedto their post 38 minutes ago
Ternary Transformers & Micro-Agent Architecture CMSManhattan : Center Business Solutions Inc. JiRack — Ternary Transformers & Micro-Agent Architecture We build highly efficient large language models using 1.58-bit ternary weights {-1, 0, 1} for extreme compression and fast CPU/GPU inference. Core focus: JiRack Ternary Transformer Architecture — fresh Qwen base, trained on DeepSeek-style datasets, optimized for fast CPU inference (MIT License) JiRack Micro-Agent Deployment — specialized small models + smart router for low-cost agentic systems Production-ready ONNX Runtime & Docker inference stacks Public Models ModelSizeStatusJiRackUltra series (1B / 7B / 14B / 32B)—Released https://huggingface.co/CMSManhattan/JiRackUltra_1b https://huggingface.co/CMSManhattan/JiRackUltra_7b https://huggingface.co/CMSManhattan/JiRackUltra_14b https://huggingface.co/CMSManhattan/JiRackUltra_32b JiRackTernary series1B → 10B+ReleasedJiRackPrecisionTokenizer—Released Mission Democratize frontier-scale language models through extreme efficiency. Train and run powerful models on accessible hardware without sacrificing quality. Solved issues Benefits of JiRack Micro-Agent Architecture: Solves catastrophic forgetting during training by using small, specialized models for each domain, managed by a smart router Enables extremely cheap inference using ternary models Significantly reduces cloud inference costs while maintaining high performance In classical architecture, an expensive model has to search for MCP-agents every time, while JiRack uses a very small model and cheap router for agent tasks, saving big money right from the start Considered one of the best approaches for enterprise AI deployments Hugging Face: https://huggingface.co/CMSManhattan Ollama : https://ollama.com/cmsmanhattan Docker Hub: cmsmanhattan Contact: grabko@cmsmanhattan.com
commentedon an article 40 minutes ago
JiRack Ultra blew up the Hugging Face charts
commentedon an article 40 minutes ago
Almost Opus 4.6 Max quality with JiRack DeltaNet 27B — but it runs on your PC
View all activity

Organizations

Blog-explorers's profile picture Center Business Solutions inc's profile picture