Spaces:
Running
Running
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,11 +9,11 @@ pinned: false
|
|
| 9 |
|
| 10 |
<div align="center">
|
| 11 |
|
| 12 |
-
#
|
| 13 |
|
| 14 |
-
**
|
| 15 |
|
| 16 |
-
GestaltLabs is the research home for the Ornstein, Harmonic, Acta, Talos, and related
|
| 17 |
|
| 18 |
[Models](https://huggingface.co/GestaltLabs?sort_models=lastModified) · [Datasets](https://huggingface.co/datasets?author=DJLougen) · [DJLougen](https://huggingface.co/DJLougen)
|
| 19 |
|
|
@@ -21,19 +21,24 @@ GestaltLabs is the research home for the Ornstein, Harmonic, Acta, Talos, and re
|
|
| 21 |
|
| 22 |
---
|
| 23 |
|
| 24 |
-
##
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
|
| 26 |
-
|
| 27 |
-
- **
|
| 28 |
-
- **
|
| 29 |
-
- **
|
| 30 |
-
- **
|
|
|
|
| 31 |
|
| 32 |
## Featured Model Lines
|
| 33 |
|
| 34 |
### Ornstein
|
| 35 |
-
|
| 36 |
-
The Ornstein line explores multimodal reasoning and local deployment across Qwen and Gemma-derived models, including 27B, 31B, and 35B-A3B variants.
|
| 37 |
|
| 38 |
- [GestaltLabs/Ornstein-3.6-27B](https://huggingface.co/GestaltLabs/Ornstein-3.6-27B)
|
| 39 |
- [GestaltLabs/Ornstein-3.6-27B-GGUF](https://huggingface.co/GestaltLabs/Ornstein-3.6-27B-GGUF)
|
|
@@ -41,32 +46,27 @@ The Ornstein line explores multimodal reasoning and local deployment across Qwen
|
|
| 41 |
- [DJLougen/Ornstein-27B-v2-GGUF](https://huggingface.co/DJLougen/Ornstein-27B-v2-GGUF)
|
| 42 |
|
| 43 |
### CHIMERA
|
| 44 |
-
|
| 45 |
-
coming
|
| 46 |
|
| 47 |
### SABER / RYS
|
| 48 |
-
|
| 49 |
-
SABER and RYS are experimental post-training branches for studying model behavior, refusal boundaries, and capability-preserving edits.
|
| 50 |
|
| 51 |
- [DJLougen/gemma-4-E2B-it-saber](https://huggingface.co/DJLougen/gemma-4-E2B-it-saber)
|
| 52 |
|
| 53 |
## Featured Datasets
|
| 54 |
-
|
| 55 |
-
- [
|
| 56 |
-
- [
|
| 57 |
-
- [
|
| 58 |
-
- [
|
| 59 |
-
- [
|
| 60 |
-
- [Talos Scenarios](https://huggingface.co/datasets/DJLougen/Talos-Scenarios) - agentic task scenarios for synthetic trace generation
|
| 61 |
|
| 62 |
## Principles
|
| 63 |
-
|
| 64 |
-
-
|
| 65 |
-
-
|
| 66 |
-
-
|
| 67 |
-
-
|
| 68 |
-
- Build for researchers, tinkerers, and builders who want systems they can actually run
|
| 69 |
|
| 70 |
## Contact
|
| 71 |
-
|
| 72 |
-
For questions, collaboration, eval results, or licensing discussions, open a discussion on the relevant repository or reach out through [DJLougen](https://huggingface.co/DJLougen).
|
|
|
|
| 9 |
|
| 10 |
<div align="center">
|
| 11 |
|
| 12 |
+
# Gestalt Lab 🇨🇦
|
| 13 |
|
| 14 |
+
**Independent Canadian Open Reasoning Research**
|
| 15 |
|
| 16 |
+
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.
|
| 17 |
|
| 18 |
[Models](https://huggingface.co/GestaltLabs?sort_models=lastModified) · [Datasets](https://huggingface.co/datasets?author=DJLougen) · [DJLougen](https://huggingface.co/DJLougen)
|
| 19 |
|
|
|
|
| 21 |
|
| 22 |
---
|
| 23 |
|
| 24 |
+
## Why the Flag?
|
| 25 |
+
|
| 26 |
+
**Canadian Open Weights.**
|
| 27 |
+
Released independently and permissively — no contact forms, no non-commercial clauses, no gatekeeping. Real sovereignty means weights you can actually download, fine-tune, quantize, and deploy without asking permission.
|
| 28 |
+
|
| 29 |
+
---
|
| 30 |
|
| 31 |
+
## Current Focus
|
| 32 |
+
- **Ornstein** — multimodal and MoE reasoning models (Qwen/Gemma-derived) optimized for local deployment and agentic workflows
|
| 33 |
+
- **CHIMERA** — reasoning-oriented models and datasets emphasizing self-correction, chain-of-thought supervision, and agent traces
|
| 34 |
+
- **SABER / RYS** — post-training experiments around capability preservation, refusal ablation, and model behavior editing
|
| 35 |
+
- **Acta / Talos** — curated agentic tool-use and coding-assistant traces for SFT and evaluation
|
| 36 |
+
- **Local inference** — GGUF, quantized, and deployment-friendly builds for llama.cpp and MLX workflows
|
| 37 |
|
| 38 |
## Featured Model Lines
|
| 39 |
|
| 40 |
### Ornstein
|
| 41 |
+
Multimodal reasoning line across 27B–35B scales with strong local deployment characteristics.
|
|
|
|
| 42 |
|
| 43 |
- [GestaltLabs/Ornstein-3.6-27B](https://huggingface.co/GestaltLabs/Ornstein-3.6-27B)
|
| 44 |
- [GestaltLabs/Ornstein-3.6-27B-GGUF](https://huggingface.co/GestaltLabs/Ornstein-3.6-27B-GGUF)
|
|
|
|
| 46 |
- [DJLougen/Ornstein-27B-v2-GGUF](https://huggingface.co/DJLougen/Ornstein-27B-v2-GGUF)
|
| 47 |
|
| 48 |
### CHIMERA
|
| 49 |
+
*Coming soon* — reasoning-focused models with explicit self-correction and agent trace supervision.
|
|
|
|
| 50 |
|
| 51 |
### SABER / RYS
|
| 52 |
+
Experimental post-training branches studying refusal boundaries and capability-preserving edits.
|
|
|
|
| 53 |
|
| 54 |
- [DJLougen/gemma-4-E2B-it-saber](https://huggingface.co/DJLougen/gemma-4-E2B-it-saber)
|
| 55 |
|
| 56 |
## Featured Datasets
|
| 57 |
+
- [Ornstein Curated 100K](https://huggingface.co/datasets/DJLougen/ornstein-curated-100k) — curriculum-sorted multi-domain reasoning data
|
| 58 |
+
- [Hermes Agent Traces Filtered](https://huggingface.co/datasets/DJLougen/hermes-agent-traces-filtered) — quality-filtered agent reasoning traces
|
| 59 |
+
- [Harmonic Reasoning v1](https://huggingface.co/datasets/DJLougen/harmonic-reasoning-v1) — compact synthetic reasoning data for math, code, and self-correction
|
| 60 |
+
- [WittgenSite](https://huggingface.co/datasets/DJLougen/wittgensite) — prompt consistency benchmark for AI coding agents
|
| 61 |
+
- [Acta](https://huggingface.co/datasets/DJLougen/Acta) — curated agentic tool-use conversations
|
| 62 |
+
- [Talos Scenarios](https://huggingface.co/datasets/DJLougen/Talos-Scenarios) — agentic task scenarios for synthetic trace generation
|
|
|
|
| 63 |
|
| 64 |
## Principles
|
| 65 |
+
- Ship **open artifacts** that people can inspect, run, and adapt without restrictions
|
| 66 |
+
- Pair every model release with practical local inference formats (GGUF, MLX, etc.)
|
| 67 |
+
- Treat datasets as first-class research objects, not just training fuel
|
| 68 |
+
- Explore behavior editing (refusal ablation, layer surgery) while preserving useful capabilities
|
| 69 |
+
- Build for researchers, tinkerers, and builders who want systems they can actually run locally
|
|
|
|
| 70 |
|
| 71 |
## Contact
|
| 72 |
+
Open a discussion on any repository or reach out via [DJLougen](https://huggingface.co/DJLougen).
|
|
|