Update GestaltLabs organization card for Nemostein Omni

README.md

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 # Gestalt Lab 🇨🇦
 
 **Independent Canadian Open Reasoning Research**
 
-GestaltLabs is the research home for the **Ornstein**, **Harmonic**, **CHIMERA**, **Acta**, **Talos**, and related model lines by [DJLougen](https://huggingface.co/DJLougen). We build, curate, and release **fully permissive open weights** for practical reasoning systems: multimodal assistants, tool-using agents, local GGUF deployments, and post-training experiments around capability preservation, refusal ablation, and high-signal synthetic data.
+GestaltLabs is the research home for the **Nemostein**, **Ornstein**, **Harmonic**, **CHIMERA**, **Acta**, **Talos**, and related model lines by [DJLougen](https://huggingface.co/DJLougen). We build, curate, and release open-weight artifacts for practical reasoning systems: multimodal assistants, tool-using agents, local GGUF deployments, and post-training experiments around capability preservation, refusal shaping, and high-signal synthetic data.
 
 [Models](https://huggingface.co/GestaltLabs?sort_models=lastModified) · [Datasets](https://huggingface.co/datasets?author=DJLougen) · [DJLougen](https://huggingface.co/DJLougen)
 
@@ -22,14 +22,23 @@ GestaltLabs is the research home for the **Ornstein**, **Harmonic**, **CHIMERA**
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 ## Current Focus
+- **Nemostein** — Nemotron/Nemotron-Omni reasoning and tool-use fine-tunes, including GGUF releases for local inference
 - **Ornstein** — multimodal and MoE reasoning models (Qwen/Gemma-derived) optimized for local deployment and agentic workflows
 - **CHIMERA** — reasoning-oriented models and datasets emphasizing self-correction, chain-of-thought supervision, and agent traces
-- **SABER / RYS** — post-training experiments around capability preservation, refusal ablation, and model behavior editing
+- **SABER / RYS** — post-training experiments around capability preservation, refusal boundaries, KLD drift, and model behavior editing
 - **Acta / Talos** — curated agentic tool-use and coding-assistant traces for SFT and evaluation
 - **Local inference** — GGUF, quantized, and deployment-friendly builds for llama.cpp and MLX workflows
 
 ## Featured Model Lines
 
+### Nemostein
+Nemotron 3 Nano / Nemotron Omni reasoning line focused on chat reasoning, Hermes-style tool calls, and local deployment.
+
+**Nemostein-3-Nano-Omni-30b-a3b** — Nemotron 3 Nano Omni lineage fine-tune for reasoning and tool-use chat
+- [BF16 / Transformers](https://huggingface.co/GestaltLabs/Nemostein-3-Nano-Omni-30b-a3b) · [GGUF](https://huggingface.co/GestaltLabs/Nemostein-3-Nano-Omni-30b-a3b-GGUF)
+- GGUF variants: Q8_0, Q6_K, Q4_K_M, Q2_K
+- Follow-on Acta Hermes tool-call SFT and SABER/KLD tuning are in progress.
+
 ### Ornstein
 Multimodal and MoE reasoning line across 27B–35B scales, shipped in formats for every common local-inference stack.
 
@@ -53,6 +62,7 @@ Multimodal and MoE reasoning line across 27B–35B scales, shipped in formats fo
 ### SABER / RYS
 Experimental post-training branches studying refusal boundaries and capability-preserving edits.
 
+- [SABER code](https://github.com/DJLougen/SABER)
 - [DJLougen/gemma-4-E2B-it-saber](https://huggingface.co/DJLougen/gemma-4-E2B-it-saber)
 
 ## Code & Architectures
@@ -63,15 +73,15 @@ Experimental post-training branches studying refusal boundaries and capability-p
 - [Hermes Agent Traces Filtered](https://huggingface.co/datasets/DJLougen/hermes-agent-traces-filtered) — quality-filtered agent reasoning traces
 - [Harmonic Reasoning v1](https://huggingface.co/datasets/DJLougen/harmonic-reasoning-v1) — compact synthetic reasoning data for math, code, and self-correction
 - [WittgenSite](https://huggingface.co/datasets/DJLougen/wittgensite) — prompt consistency benchmark for AI coding agents
-- [Acta](https://huggingface.co/datasets/DJLougen/Acta) — curated agentic tool-use conversations
+- [Acta](https://huggingface.co/datasets/DJLougen/Acta) — curated agentic tool-use conversations, including Hermes-style tool-call traces
 - [Talos Scenarios](https://huggingface.co/datasets/DJLougen/Talos-Scenarios) — agentic task scenarios for synthetic trace generation
 
 ## Principles
-- Ship **open artifacts** that people can inspect, run, and adapt without restrictions
-- Pair every model release with practical local inference formats (GGUF, MLX, etc.)
+- Ship **open artifacts** that people can inspect, run, and adapt
+- Pair model releases with practical local inference formats (GGUF, MLX, etc.)
 - Treat datasets as first-class research objects, not just training fuel
-- Explore behavior editing (refusal ablation, layer surgery) while preserving useful capabilities
+- Explore behavior editing while measuring capability drift and documenting limitations
 - Build for researchers, tinkerers, and builders who want systems they can actually run locally
 
 ## Contact
-Open a discussion on any repository or reach out via [DJLougen](https://huggingface.co/DJLougen).
+Open a discussion on any repository or reach out via [DJLougen](https://huggingface.co/DJLougen).