Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-GGUF overview

---

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
• qwen3.8
• qwen3_8
• 27b
• neo-coder
• coder
• swe-bench
• gguf
• llama.cpp
• ollama
• vision
• multimodal
• mmproj
• speculative-decoding
• mtp
• uncensored
• abliterated

pipeline_tag: image-text-to-text

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<p align="center">

<img src="https://cdn-uploads.huggingface.co/production/uploads/67c2e844e0921a5410eec10a/Y5M42dCag2f7Fc6fDtV0Z.jpeg" alt="Solstice-AI Banner" width="100%">

</p>

<h1 align="center">Qwen3.8-27B-TURBO NEO-CODER (Official Clean GGUF Suite)</h1>

<h3 align="center">Official Solstice-AI Release &bull; Standard Clean UD 3.0 Matrix &bull; Multi-Token Prediction (MTP) Speculative Tiers &bull; Pure BF16 Multimodal Vision Projector</h3>

<p align="center">

<b>Original Architecture by <a href="https://huggingface.co/Qwen">Qwen / Alibaba Cloud</a> &bull; Uncensored Weights by <a href="https://huggingface.co/DavidAU">DavidAU</a> &bull; Curated &amp; Packaged by <a href="https://huggingface.co/Solstice-AI">Solstice-AI</a></b>

</p>

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Model Summary

Solstice-AI/Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-GGUF contains the official clean GGUF suite of Qwen3.8-27B NEO-CODER, bringing DavidAU's latest coding and agentic prompt engineering optimizations into standard, clean UD 3.0 GGUF binaries.

Key NEO-CODER Capabilities:

1. Dynamic Reasoning Effort Controls (reasoning_effort):

- medium: Suppresses default system prompt injection for direct, unrestricted coding execution and SWE-bench compatibility.

- xhigh: Injects deep-reasoning verification tags (<thought>) for complex algorithmic design and proofs.

1. Deterministic XML Tool Calling: Pre-configured for <tool_call><function=...><parameter=...></function></tool_call> execution.
2. Pure BF16 Vision Transformer (mmproj-BF16.gguf): Standalone 16-bit multimodal vision projector with zero FP16 underflow risks.
3. Multi-Token Prediction (MTP) Speculative Tiers: Bundles specialized MTP models (speculative-mtp/) and DSpark drafters (speculative/).

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File Catalog

| Filename | Precision / Quant | Size | Recommended Use Case |

| :--- | :--- | :---: | :--- |

| Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q4_K_M.gguf | Q4_K_M (UD-Q4_K_XL) | 16.81 GB | Recommended: Best balance of speed, RAM footprint &amp; accuracy |

| Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q5_K_M.gguf | Q5_K_M | 19.31 GB | High-accuracy coding and mathematical reasoning |

| Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q6_K.gguf | Q6_K | 21.96 GB | Near-lossless weights for complex multi-file refactoring |

| Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q8_0.gguf | Q8_0 | 27.74 GB | Pure lossless 8-bit precision |

| *speculative-mtp/-MTP-Q4_K_M.gguf** | MTP Q4_K_M | 17.23 GB | Multi-Token Prediction enabled speculative decoding |

| *speculative-mtp/-MTP-Q8_0.gguf** | MTP Q8_0 | 28.16 GB | Lossless MTP speculative decoding |

| mmproj-BF16.gguf | Pure BF16 | 0.87 GB | Official standalone Multimodal Vision Projector |

| speculative/Qwen3.8-27B-DSpark-Q4_K_M.gguf | DSpark Drafter | 1.03 GB | Ultra-fast pre-aligned speculative draft model |

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Quickstart with llama.cpp

Standard Multimodal Inference:

llama-server \
  -m Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q4_K_M.gguf \
  --mmproj mmproj-BF16.gguf \
  -c 131072 \
  --port 8080

Speculative Decoding (1.8x Speedup):

llama-cli \
  -m Qwen3.8-27B-TURBO-Fable-Cold-Fusion-NEO-CODER-Q4_K_M.gguf \
  -md speculative/Qwen3.8-27B-DSpark-Q4_K_M.gguf \
  --mmproj mmproj-BF16.gguf \
  -p "Write a high-performance async actor pool in Rust using Tokio."