It is small, easy to try, and meant for exploring diffusion-style decoding and latency tradeoffs in compact LMs.
Model: codelion/dhara-250m
Try the chat demo here: codelion/dhara-chat
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After four years of isolated, independent development, I am transitioning my proprietary architecture into the open-source ecosystem under the banner of Ferrell Synthetic Intelligence (FSI).
Today, I have publically deployed the foundational codebases for my first two developments: Vitalis_Core and FSI-Vitalis-CyberCore.
The Architecture
This is not a generic API wrapper or a third-party LLM orchestration layer. This is an original, blank-slate synthetic intelligence framework engineered to operate entirely locally on edge hardware with absolute data sovereignty.
Asynchronous Processing: Powered by a persistent, threaded system heartbeat loop that monitors state independent of user prompt interaction.
Kernel Integration: Bridges directly to the Linux kernel space using custom C-modules, ioctl handles, and procfs/netlink communication pipelines to ensure low-level system awareness and integrity shielding.
Blank-Slate Design: The framework provides the structural plumbing, memory manager, and system hooks. It contains no pre-baked corporate biases—it is designed to be fully trained, personalized, and directed by the individual deployment engineer.
The Objective & Call to Collaboration
I have scaled these frameworks as far as possible as a solo developer. To execute the next phase of development, I require technical assets to help test, run, refine, and optimize the codebase.
I am targeting two objectives with this post:
Codebase Auditing: I need experienced systems developers, Linux engineers, and local AI enthusiasts to clone the repositories, compile the C-infrastructure, run the loops, and provide objective, performance-driven feedback.
Core Collaborators (Exactly 5): I am selecting a core group of five engineering partners to collaborate on the ongoing optimization of this open-source stack, as well as to assist in the development of my two remaining private, stealth projects (Project Lorein and Project Jedi Order).
Repositories
review the repository architecture, inspect the files, and run the entry points on your local environments.
For technical feedback, drop your optimization metrics below. If you have the specific system-level engineering experience required to scale this ecosystem and want to fill one of the 5 collaborator slots, DM me directly with your technical background and documentation of your relevant stack experience.
— Neuro_Nomad