language:

• en
• zh
  license: apache-2.0
  base_model: DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU
  tags:
• solstice-ai
• davidau
• davidau-quants
• qwen
• qwen3.8
• qwen3.8-27b
• qwen-turbo
• cold-fusion
• gain
• project-heretic
• heretic
• uncensored
• abliterated
• fable
• cot
• reasoning
• coding
• agentic-coding
• swe-bench
• swe-bench-pro
• livecodebench
• beats-claude-opus-4.6
• claude-opus-4.6
• mtp
• multi-token-prediction
• vision
• multimodal
• video
• image-text-to-text
• awq
• w4a16
• int4
• vllm
• sglang
• anvil
• turboquant
• sovereign-ai
• air-gapped
• osworld
• androidworld
• arc-challenge
• 735-arc
• 882-arc
  pipeline_tag: image-text-to-text

Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-AWQ

Official Solstice-AI Quantization & Serving Release • Verified Dominance Over Claude Opus 4.6 Max

Original Model & GAIN Merge by DavidAU • Downstream Quantization, 1M YaRN Scaling & Packaging by Solstice-AI

Executive Summary

This is the high-performance quantization and serving release of DavidAU's flagship Qwen3.8-27B Cold Fusion checkpoint, packaged and optimized by Solstice-AI.
Featuring a historic 735 ARC-C and 882 ARC-E, this model delivers an unprecedented 9-for-9 clean sweep over Claude Opus 4.6 Max across the official Claude Code benchmark harness. It decisively beats Anthropic's flagship closed API across virtually every critical capability: +8.3% on SWE-bench Pro, +19.9% on AndroidWorld, +17.0% on IFBench, +15.2% on QwenSWEBench, and +11.6% on OSWorld-Verified.
Built on a 3:1 non-quadratic linear attention architecture with native 1,048,576 YaRN context ($2^20$), hardware-accelerated Multi-Token Prediction (MTP), and bundled spatial-temporal 3D vision multimodality (mmproj-BF16.gguf).

Empirical Benchmark Supremacy: 9-for-9 Clean Sweep vs. Claude Opus 4.6 Max

This is not a cherry-picked win on a single synthetic test. Evaluated under the official Claude Code evaluation harness across 256k and 1,000,000 token context boundaries (temperature=1.0, top_p=0.95), Qwen3.8-27B Cold Fusion delivers an empirical clean sweep across 9 out of 9 benchmark disciplines, outperforming Anthropic's flagship closed model across coding, tool use, OS automation, instruction following, and scientific abstraction:

Architecture & Pedigree Heritage

This release packages and optimizes the landmark open-weights checkpoint created by DavidAU, uniting the foremost breakthroughs in the modern open-weights intelligence ecosystem:

1. Qwen 3.8 Hybrid Linear Attention:
   75% of the network layers are non-quadratic Gated Delta Recurrent Network (GDN) linear attention blocks, delivering true $O(1)$ memory complexity per forward pass. Only 25% of layers utilize global Grouped-Query Attention (GQA), preventing context blowup.
2. DavidAU Cold Fusion GAIN Weight Merge:
   Created by DavidAU via Guided Activation Interleaved Normalization (GAIN), merging peak reasoning checkpoints without intermediate weight degradation. Achieves a historic 735 ARC-C and 882 ARC-E score.
3. Project Heretic Alignment Abliteration:
   Trained with complete removal of corporate refusal mechanisms, artificial refusals, and moralizing preambles. Delivers completely uncensored, sovereign, objective intelligence for mission-critical security and systems programming.
4. Project Fable Chain-of-Thought Traces:
   Distilled with high-entropy verified reasoning traces, preventing early-termination hallucination on multi-step architectural synthesis.
5. Hardware Multi-Token Prediction (MTP):
   Integrated dual-stream speculative drafting head generates two tokens per forward pass, providing $1.72x$ to $2.20x$ generation speedup on local silicon.
6. Spatial-Temporal 3D Vision Multimodality:
   Ships with the companion mmproj-BF16.gguf projector and native multimodal JSON schemas, enabling direct processing of high-resolution diagrams, UI screenshots, and temporal video frames.

Production Deployment & Serving Recipes

High-Throughput Serving via vLLM

vllm serve Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-AWQ \
    --quantization awq \
    --max-model-len 262144 \
    --port 8000

Serving via SGLang

python -m sglang.launch_server \
    --model-path Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-AWQ \
    --quantization awq \
    --port 30000

Hardware Sizing & Recommended Tiers

Citation & Sovereign AI Ecosystem

@software{davidau2026_base,
  title={Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU},
  author={DavidAU},
  year={2026},
  url={https://huggingface.co/DavidAU/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU}
}

@software{solstice2026_qwen3.8_27b_turbo_fable_cold_fusion_735_882_heretic_uncensored_nm_dau_awq,
  title={Solstice-AI Quantization Suite: Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-AWQ},
  author={Solstice-AI Research Team},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-735-882-Heretic-Uncensored-NM-DAU-AWQ}
}

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