---

license: apache-2.0

base_model:

- reaperdoesntknow/DistilQwen3-1.7B-uncensored

tags:

• convergentintel
• edge
• distillation
• knowledge-distillation

---

DistilQwen3-1.7B-uncensored-GGUF

By Convergent Intelligence LLC: Research Division

---

Convergent Intelligence Portfolio

Part of the DistilQwen3 Series by Convergent Intelligence LLC: Research Division

#

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.

Related Models

| Model | Downloads | Format |

|-------|-----------|--------|

| DistilQwen3-1.7B-uncensored | 148 | HF |

Top Models from Our Lab

| Model | Downloads |

|-------|-----------|

| Qwen3-1.7B-Thinking-Distil | 501 |

| LFM2.5-1.2B-Distilled-SFT | 342 |

| Qwen3-1.7B-Coder-Distilled-SFT | 302 |

| Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF | 203 |

| Qwen3-1.7B-Coder-Distilled-SFT-GGUF | 194 |

Total Portfolio: 41 models | 2,781 total downloads

Last updated: 2026-03-28 12:55 UTC

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From the Convergent Intelligence Portfolio

DistilQwen Collection — Our only BF16 series. Proof-weighted distillation from Qwen3-30B-A3B → 1.7B and 0.6B on H100. Three teacher variants (Instruct, Thinking, Coder), nine models, 2,788 combined downloads. The rest of the portfolio proves structure beats scale on CPU. This collection shows what happens when you give the methodology real hardware.

Top model: Qwen3-1.7B-Coder-Distilled-SFT — 508 downloads

Full methodology: Structure Over Scale (DOI: 10.57967/hf/8165)

Convergent Intelligence LLC: Research Division

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