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Rename Crucible and remove CHIMERA mention

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  1. README.md +4 -4
README.md CHANGED
@@ -13,7 +13,7 @@ pinned: false
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  **Independent Canadian Open Reasoning Research**
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- 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.
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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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@@ -24,7 +24,7 @@ GestaltLabs is the research home for the **Nemostein**, **Ornstein**, **Harmonic
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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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- - **CHIMERA / 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
@@ -56,8 +56,8 @@ Multimodal and MoE reasoning line across 27B–35B scales, shipped in formats fo
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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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- ### CHIMERA / Crucible
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- [Crucible](https://github.com/DJLougen/crucible) is the private CHIMERA 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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  **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.