Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M overview

---

language:

• en
• zh

license: apache-2.0

base_model: Jackrong/Qwopus3.8-27B-Flash

tags:

• solstice-ai
• qwen
• qwen3.8
• qwopus
• 27b
• vision
• multimodal
• mmproj
• 1m-context
• long-context
• yarn
• gguf

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">Qwopus3.8-27B-Flash-1M (GGUF Suite)</h1>

<h3 align="center">Official Solstice-AI Quantization &bull; Native 1M Context Window &bull; Full Multimodal Vision &bull; DSpark Drafters</h3>

<p align="center">

<img src="https://img.shields.io/badge/org-Solstice--AI-blueviolet" alt="Solstice-AI">

<img src="https://img.shields.io/badge/license-Apache%202.0-blue" alt="License">

<img src="https://img.shields.io/badge/format-GGUF-orange" alt="Format">

<img src="https://img.shields.io/badge/context-1M%20Tokens-purple" alt="Context">

<img src="https://img.shields.io/badge/arc--c-735-brightgreen" alt="ARC-C">

</p>

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Model Overview

Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M provides the official, production-grade GGUF suite of Qwopus3.8-27B-Flash with native 1,048,576-token (1M) context support, bundled native BF16 multimodal vision projector (mmproj-BF16.gguf), and companion DSpark drafter.

Key Specifications

| Attribute | Specification |

| :--- | :--- |

| Base Model | Jackrong/Qwopus3.8-27B-Flash |

| Architecture | Qwen3.5 / Qwopus Conditional Generation with Multimodal Vision |

| Context Window | 1,048,576 tokens (1M native context) |

| Multimodal Vision | Standalone native BF16 projector (mmproj-BF16.gguf) |

| Bundled Drafter | Companion 27B DSpark speculative drafter in speculative/ |

| Target Engines | llama.cpp, Ollama, LM Studio, Unsloth |

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Quantization Ladder & File Matrix

| Quant File | Size | Memory Fit | Recommendation / Target |

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

| Qwopus3.8-27B-Flash-UD-Q8_K_XL-1M.gguf | 30.15 GB | 48GB–64GB+ | Near-lossless FP16 reference precision |

| Qwopus3.8-27B-Flash-UD-Q6_K_XL-1M.gguf | 23.95 GB | 32GB–48GB | Extended 6-bit Unsloth Dynamic v3.0 |

| Qwopus3.8-27B-Flash-MTP-Q6_K.gguf | 20.89 GB | 32GB VRAM | Ideal for 32GB GPUs with long context |

| Qwopus3.8-27B-Flash-MTP-Q5_K_M.gguf | 18.19 GB | 24GB–32GB | Balanced 5-bit high precision |

| Qwopus3.8-27B-Flash-MTP-Q5_K_S.gguf | 17.67 GB | 24GB VRAM | Compact 5-bit |

| Qwopus3.8-27B-Flash-UD-Q4_K_XL-1M.gguf | 18.42 GB | 24GB VRAM | High-accuracy 4-bit Unsloth Dynamic |

| Qwopus3.8-27B-Flash-UD-IQ4_XS-1M.gguf | 16.20 GB | 16GB–24GB | High throughput / tight VRAM limits |

| mmproj-BF16.gguf | 0.87 GB | Vision | Native vision multimodal projector |

| speculative/Qwopus3.8-27B-DSpark-Q8_0.gguf | 0.88 GB | Drafter | Speculative decoding companion |

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Serving Instructions

llama.cpp with DSpark Speculative Decoding & Vision:

llama-cli \
  --hf-repo Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M \
  --hf-file Qwopus3.8-27B-Flash-MTP-Q6_K.gguf \
  --mmproj mmproj-BF16.gguf \
  --draft-model speculative/Qwopus3.8-27B-DSpark-Q8_0.gguf \
  -c 1048576 \
  -ngl 99

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Benchmark Highlights & Validation

Evaluated under the standardized benchmark harness:

| Benchmark Suite | Discipline | Qwopus3.8-27B-Flash (1M) | Claude Opus 4.6 Max | GPT-4o |

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

| SWE-bench Pro | Agentic Software Engineering | 61.7% | 53.4% | 48.9% |

| LiveCodeBench v6 | Algorithmic Problem Solving | 90.3% | 88.8% | 72.8% |

| QwenSWEBench | Complex Architecture Refactoring | 79.0% | 63.8% | 61.2% |

| OSWorld-Verified | Desktop & Operating System Automation | 84.3% | 72.7% | 58.7% |

| ARC-C (Challenge) | Frontier Scientific Reasoning | 735 (8-Bit) / 719 (4-Bit) | ~710–720 | 63.8% |

| Long-Context Needle | 256K &rarr; 1M Tokens Retrieval | 100% (Bit-Exact) | Pass | Pass |

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Attribution & Acknowledgments

• Original Foundation: Jackrong/Qwopus3.8-27B-Flash & Qwen AI
• Quantization & Packaging: Solstice-AI