Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M overview
<p align="center" <img src="https://cdn uploads.huggingface.co/production/uploads/67c2e844e0921a5410eec10a/Y5M42dCag2f7Fc6fDtV0Z.jpeg" alt="Solstice AI Banner"…
Runs locally from ~888.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwopus3.8-27B-Flash-UD-IQ4_XS-1M.gguf | GGUF | IQ4_XS | 13.27 GB | Download |
| Qwopus3.8-27B-Flash-UD-Q4_K_XL-1M.gguf | GGUF | Q4_K_XL | 16.35 GB | Download |
| Qwopus3.8-27B-Flash-UD-Q6_K_XL-1M.gguf | GGUF | Q6_K_XL | 23.56 GB | Download |
| Qwopus3.8-27B-Flash-UD-Q8_K_XL-1M.gguf | GGUF | Q8_K_XL | 29.30 GB | Download |
| mmproj-BF16.gguf | GGUF | BF16 | 888.0 MB | Download |
| speculative/Qwopus3.8-27B-DSpark-Q8_0.gguf | GGUF | Q8_0 | 1.85 GB | Download |
Model Details
| Model ID | Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M |
|---|---|
| Author | Solstice-AI |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | Jackrong/Qwopus3.8-27B-Flash |
| Last modified | 2026-09-09T01:44:04.000Z |
Model README
---
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
---
<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 (Unsloth Dynamic v3.0 GGUF)</h1>
<h3 align="center">Official Solstice-AI Quantization • Native-Like 1M Context Window • Full Multimodal Vision • Zero Command Flags Required</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/precision-Unsloth%20Dynamic%20v3.0-yellow" alt="Precision">
<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>
---
Model Overview
Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M provides the official, production-grade Unsloth Dynamic v3.0 GGUF release of Qwopus3.8-27B-Flash with a native-behaving 1,048,576-token (1M) context window.
Unsloth Dynamic v3.0 GGUF release featuring imatrix layer-budget allocation, bundled native BF16 multimodal vision projector, companion DSpark drafter, and baked 1M context.
Key Specifications
| Attribute | Specification |
| :--- | :--- |
| Base Model | Jackrong/Qwopus3.8-27B-Flash |
| Architecture | Qwen3.5 / Qwopus Conditional Generation with Multimodal Vision |
| Quantization Methodology | Unsloth Dynamic v3.0 (Selective high-precision budget layers) |
| 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 |
---
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 → 1M Tokens Retrieval | 100% (Bit-Exact) | Pass | Pass |
---
Attribution & Acknowledgments
- Original Foundation: Jackrong/Qwopus3.8-27B-Flash & Qwen AI
- 1M YaRN Scaling & Quantization Suite: Solstice-AI
Run Solstice-AI/Qwopus3.8-27B-Flash-GGUF-1M with guIDE
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Source: Hugging Face · Compare models