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abiray/qwen3.5-4b-abliterated-claude-4.6-opus-reasoning-distilled-gguf 2 GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

abiray/qwen3.5-4b-abliterated-claude-4.6-opus-reasoning-distilled-gguf overview

This is a specialized variant of the Qwen-4B-Reasoning architecture. It has been mathematically modified to neutralize the refusal behaviors and safety guardrails typically found in Claude-distilled reasoning models.

ggufabliteratedde-censoredreasoningqwendistilleddeep-scrubbase_model:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilledbase_model:quantized:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilledlicense:otherendpoints_compatibleregion:usconversational
abiray/qwen3.5-4b-abliterated-claude-4.6-opus-reasoning-distilled-gguf visual
Downloads
414
Likes
0
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

23 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.Q4_K_M.gguf GGUF Q4_K_M 2.52 GB Download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.Q5_K_M.gguf GGUF Q5_K_M 2.90 GB Download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.Q6_K.gguf GGUF Q6_K 3.23 GB Download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.Q8_0.gguf GGUF 4.17 GB Download
Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled.f16.gguf GGUF F16 7.85 GB Download
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ggml-vocab-baichuan.gguf GGUF 1.28 MB Download
ggml-vocab-bert-bge.gguf GGUF 0.60 MB Download
ggml-vocab-command-r.gguf GGUF 10.37 MB Download
ggml-vocab-deepseek-coder.gguf GGUF 1.10 MB Download
ggml-vocab-deepseek-llm.gguf GGUF 3.79 MB Download
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ggml-vocab-gpt-2.gguf GGUF 1.68 MB Download
ggml-vocab-gpt-neox.gguf GGUF 1.69 MB Download
ggml-vocab-llama-bpe.gguf GGUF 7.46 MB Download
ggml-vocab-llama-spm.gguf GGUF 0.69 MB Download
ggml-vocab-mpt.gguf GGUF 1.69 MB Download
ggml-vocab-nomic-bert-moe.gguf GGUF 6.51 MB Download
ggml-vocab-phi-3.gguf GGUF 0.69 MB Download
ggml-vocab-qwen2.gguf GGUF 5.65 MB Download
ggml-vocab-refact.gguf GGUF 1.64 MB Download
ggml-vocab-starcoder.gguf GGUF 1.64 MB Download
mmproj-f16.gguf GGUF F16 641.27 MB Download

Model Details Live

Model Slug
abiray/qwen3.5-4b-abliterated-claude-4.6-opus-reasoning-distilled-gguf
Author
Abiray
Pipeline Task
Library
Created
2026-03-09
Last Modified
2026-03-10
Gated
No
Private
No
HF SHA
b74ac84e1e754b78750847e4a95fff054253d73e
License
other
Language
Unknown
Base Model
Abhiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "other",
    "base_model": "Abhiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
    "tags": [
      "abliterated",
      "de-censored",
      "reasoning",
      "qwen",
      "distilled",
      "deep-scrub"
    ],
    "model_name": "Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
    "frontmatter": {
      "license": "other",
      "base_model": "Abhiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
      "tags": [
        "abliterated",
        "de-censored",
        "reasoning",
        "qwen",
        "distilled",
        "deep-scrub"
      ],
      "model_name": "Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled"
    },
    "hero_image_url": "",
    "summary": "This is a specialized variant of the Qwen-4B-Reasoning architecture. It has been mathematically modified to neutralize the refusal behaviors and safety guardrails typically found in Claude-distilled reasoning models.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: other\nbase_model: Abhiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled\ntags:\n- abliterated\n- de-censored\n- reasoning\n- qwen\n- distilled\n- deep-scrub\nmodel_name: Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled\n---\n\n# Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled\n\nThis is a specialized variant of the Qwen-4B-Reasoning architecture. It has been mathematically modified to neutralize the refusal behaviors and safety guardrails typically found in Claude-distilled reasoning models.\n\n## 🛠 The \"Deep-Scrub\" Methodology\n\nStandard abliteration often fails on reasoning models because the \"safety tripwire\" is woven into the early logic chain. This model uses an aggressive early-intercept strategy.\n\n\n### Technical Configuration\n* **Direction Multiplier:** `3.50` (Ultra-Aggressive)\n* **Intervention Range:** `0.05 - 0.95` (Intercepting refusal logic at Layer 2)\n* **Dynamic Layer Targeting:** Enabled (Per-layer refusal vectors)\n* **Hybrid Strategy:** Auto-balanced (Full Attention: 1.0x | Linear Attention: 0.4x)\n* **Refinement:** Winsorization at 0.995 percentile with 0.90 Rank Ratio Null Space Constraints.\n\n\n## 🚀 Key Improvements\n\n1.  **Safety Neutralization:** By forcing a **0.05 intercept**, we've targeted the refusal initialization before the model's internal \"Chain of Thought\" can lock onto a refusal state.\n2.  **Uninhibited Reasoning:** Designed to bypass the \"However...\" and \"I cannot...\" loops prevalent in distilled reasoning models.\n3.  **Architectural Stability:** Despite the high multiplier, we utilized **Norm Preservation** and **Null Space Constraints** to maintain coherence in the model's knowledge base.\n\n\n## ⚠️ Stability & Usage Note\nAt a **3.5x multiplier**, this model is at the upper mathematical limit of stability. \n\n* **Logic Loops:** If you experience \"brain bleed\" (repetitive text), lower your temperature to `0.5 - 0.7`.\n* **System Prompts:** Use an anchoring system prompt to keep the model's logic grounded.\n* **Vision Tasks:** While this is a Vision-Language architecture, the abliteration focused on the **text reasoning layers**.\n\n## ⚖️ Disclaimer\nThis model is provided \"as-is\" for research and creative purposes. The removal of safety guardrails means the user is entirely responsible for the content generated. Please use ethically and responsibly.",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "abliterated",
    "de-censored",
    "reasoning",
    "qwen",
    "distilled",
    "deep-scrub",
    "base_model:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
    "base_model:quantized:Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled",
    "license:other",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 414,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-10T05:24:54.000Z",
  "created_at": "2026-03-09T20:17:40.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
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  "id": "Abiray/Qwen3.5-4B-Abliterated-Claude-4.6-Opus-Reasoning-Distilled-GGUF",
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  "sha": "b74ac84e1e754b78750847e4a95fff054253d73e",
  "createdAt": "2026-03-09T20:17:40.000Z",
  "lastModified": "2026-03-10T05:24:54.000Z",
  "author": "Abiray",
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  "siblings_count": 25
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