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Rename Crucible and remove CHIMERA mention
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README.md
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**Independent Canadian Open Reasoning Research**
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GestaltLabs is the research home for the **Nemostein**, **Ornstein**, **Harmonic**, **
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[Models](https://huggingface.co/GestaltLabs?sort_models=lastModified) · [Datasets](https://huggingface.co/datasets?author=DJLougen) · [DJLougen](https://huggingface.co/DJLougen)
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## Current Focus
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- **Nemostein** — Nemotron/Nemotron-Omni reasoning and tool-use fine-tunes, including GGUF releases for local inference
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- **Ornstein** — multimodal and MoE reasoning models (Qwen/Gemma-derived) optimized for local deployment and agentic workflows
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- **
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- **SABER / RYS** — post-training experiments around capability preservation, refusal boundaries, KLD drift, and model behavior editing
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- **Acta / Talos** — curated agentic tool-use and coding-assistant traces for SFT and evaluation
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- **Local inference** — GGUF, quantized, and deployment-friendly builds for llama.cpp and MLX workflows
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**Ornstein-27B-v2** — earlier 27B revision
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- [GGUF](https://huggingface.co/DJLougen/Ornstein-27B-v2-GGUF)
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###
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[
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### SABER / RYS
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Experimental post-training branches studying refusal boundaries and capability-preserving edits.
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**Independent Canadian Open Reasoning Research**
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GestaltLabs is the research home for the **Nemostein**, **Ornstein**, **Harmonic**, **CRUCIBLE**, **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.
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[Models](https://huggingface.co/GestaltLabs?sort_models=lastModified) · [Datasets](https://huggingface.co/datasets?author=DJLougen) · [DJLougen](https://huggingface.co/DJLougen)
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## Current Focus
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- **Nemostein** — Nemotron/Nemotron-Omni reasoning and tool-use fine-tunes, including GGUF releases for local inference
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- **Ornstein** — multimodal and MoE reasoning models (Qwen/Gemma-derived) optimized for local deployment and agentic workflows
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- **CRUCIBLE** — Conditional Reward-Utility Coreset by Iterative Bayesian Learnability Estimation, a private data pipeline for reasoning and agent-trace curation
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- **SABER / RYS** — post-training experiments around capability preservation, refusal boundaries, KLD drift, and model behavior editing
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- **Acta / Talos** — curated agentic tool-use and coding-assistant traces for SFT and evaluation
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- **Local inference** — GGUF, quantized, and deployment-friendly builds for llama.cpp and MLX workflows
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**Ornstein-27B-v2** — earlier 27B revision
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- [GGUF](https://huggingface.co/DJLougen/Ornstein-27B-v2-GGUF)
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### CRUCIBLE
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[CRUCIBLE](https://github.com/DJLougen/crucible) is a private data pipeline: Conditional Reward-Utility Coreset by Iterative Bayesian Learnability Estimation. It is used for reasoning-oriented data selection, self-correction supervision, and agent-trace curation.
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### SABER / RYS
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Experimental post-training branches studying refusal boundaries and capability-preserving edits.
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