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Model: reaperdoesntknow/DualMind-GGUF
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+language:
+  - en
+tags:
+  - gguf
+  - dualmind
+  - knowledge-distillation
+  - self-critique
+  - convergent-intelligence
+  - convergentintel
+  - distillation
+  - edge
+base_model: reaperdoesntknow/DualMind
+model_name: DualMind-GGUF
+---
+
+# DualMind-GGUF
+
+GGUF quantizations of [DualMind](https://huggingface.co/reaperdoesntknow/DualMind) for local inference via [llama.cpp](https://github.com/ggml-org/llama.cpp), [Ollama](https://ollama.com), [LM Studio](https://lmstudio.ai), and other GGUF-compatible runtimes.
+
+**Convergent Intelligence LLC: Research Division**
+
+## Available Quantizations
+
+| File | Quant | Size | Use Case |
+|------|-------|------|----------|
+| `DualMind-f16.gguf` | F16 | ~3.4 GB | Full precision, reference quality |
+| `DualMind-Q8_0.gguf` | Q8_0 | ~1.8 GB | Near-lossless, recommended for GPU |
+| `DualMind-Q5_K_M.gguf` | Q5_K_M | ~1.3 GB | Balanced quality/size |
+| `DualMind-Q4_K_M.gguf` | Q4_K_M | ~1.1 GB | Best for CPU/edge deployment |
+
+## What Is DualMind?
+
+DualMind is a 1.7B parameter model that implements a dual-cognition reasoning architecture:
+
+```
+<explore>  — unconstrained reasoning, derivation, speculation
+<examine>  — adversarial self-critique, error detection
+<response> — clean synthesis from the internal dialogue
+```
+
+The model learns to reason freely, then critique its own reasoning, then produce a final answer. Multi-model dialectics collapsed into shared weights.
+
+**Training lineage:** Qwen3-1.7B → DistilQwen3 (uncensored) → Disctil (DISC-refined) → TKD from Qwen3-30B-A3B-Thinking → DualMind SFT on LogicInference_OA dataset.
+
+## Quick Start
+
+**Ollama:**
+```bash
+# Already published:
+ollama run reaperdoesntrun/DualMinded-1.7B
+
+# Or from GGUF:
+ollama create dualmind -f Modelfile
+```
+
+**llama.cpp:**
+```bash
+./llama-cli -m DualMind-Q4_K_M.gguf \
+  -p "##USER:\nProve that every convergent sequence is Cauchy.\n\n<explore>\n" \
+  --temp 0.6 --top-p 0.9 --repeat-penalty 1.3 -n 512
+```
+
+**Recommended parameters:**
+- `temperature`: 0.6
+- `top_p`: 0.9
+- `repeat_penalty`: 1.3 (important — prevents enumeration loops)
+- `num_predict`: 512–1024
+
+## Related
+
+- [DualMind](https://huggingface.co/reaperdoesntknow/DualMind) — source model (SafeTensors)
+- [DualMinded-Qwen3-1.7B](https://huggingface.co/reaperdoesntknow/DualMinded-Qwen3-1.7B) — Opus-trained variant
+- [DualMind_Methodolgy](https://huggingface.co/reaperdoesntknow/DualMind_Methodolgy) — methodology paper (DOI: [10.57967/hf/8184](https://doi.org/10.57967/hf/8184))
+- [DualMind Collection](https://huggingface.co/collections/reaperdoesntknow/dualmind)
+- [DistilQwen Collection](https://huggingface.co/collections/reaperdoesntknow/distilqwen) — the full distillation chain
+
+
+## Mathematical Foundations
+
+This is a GGUF-quantized variant. The mathematical foundations (Discrepancy Calculus, Topological Knowledge Distillation) are documented in the source model's card. The discrepancy operator $Df(x)$ and BV decomposition that inform the training pipeline are preserved through quantization — the structural boundaries detected by DISC during training are baked into the weights, not dependent on precision.
+
+## Citation
+
+```bibtex
+@misc{colca2026dualmind,
+  title={From Three Teachers to Dual Cognition},
+  author={Colca, Roy S.},
+  year={2026},
+  publisher={HuggingFace},
+  url={https://doi.org/10.57967/hf/8184}
+}
+```
+
+*Convergent Intelligence LLC: Research Division — Apache 2.0*
+<!-- card-refresh: 2026-03-30 -->
+
+---
+
+## Convergent Intelligence Portfolio
+
+*Part of the [DualMind Series](https://huggingface.co/collections/reaperdoesntknow/dualmind-69c93f888c6e79ecc69cf41e) by [Convergent Intelligence LLC: Research Division](https://huggingface.co/reaperdoesntknow)*
+
+### DualMind Family
+
+| Model | Format | Description |
+|-------|--------|-------------|
+| [DualMind](https://huggingface.co/reaperdoesntknow/DualMind) | BF16 | LogicInference-trained. Explore→Examine→Response loop. |
+| [DualMinded-Qwen3-1.7B](https://huggingface.co/reaperdoesntknow/DualMinded-Qwen3-1.7B) | BF16 | Opus 4.6 reasoning traces. Higher quality splits. |
+| [Dualmind-Qwen-1.7B-Thinking](https://huggingface.co/reaperdoesntknow/Dualmind-Qwen-1.7B-Thinking) | BF16 | Thinking-teacher variant with extended deliberation. |
+| [DualMind-GGUF](https://huggingface.co/reaperdoesntknow/DualMind-GGUF) | GGUF | Quantized LogicInference variant. CPU/6GB GPU. |
+| [DualMinded-Qwen3-1.7B-GGUF](https://huggingface.co/reaperdoesntknow/DualMinded-Qwen3-1.7B-GGUF) | GGUF | Quantized Opus variant. Ollama ready. |
+
+### Papers
+
+| Paper | DOI |
+|-------|-----|
+| [Structure Over Scale](https://huggingface.co/reaperdoesntknow/Structure-Over-Scale) | 10.57967/hf/8165 |
+| [Three Teachers to Dual Cognition](https://huggingface.co/reaperdoesntknow/DualMind_Methodolgy) | 10.57967/hf/8184 |
+| [Discrepancy Calculus](https://huggingface.co/reaperdoesntknow/Discrepancy_Calculus) | 10.57967/hf/8194 |
+
+---
+
+*Last updated: 2026-03-31 by Convergent Intelligence LLC: Research Division*
+<!-- cix-keeper-ts:2026-06-25T13:15:34Z -->