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Solstice-AI/Qwopus3.8-27B-Flash-mlx-oQ8e-1M

sourceHugging Faceapache-2.0updated 14d agoView on Hugging Face
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Model Card

<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 (Apple Silicon MLX (oQ8e))</h1>

<h3 align="center">Official Solstice-AI Quantization &bull; Native-Like 1M Context Window &bull; Full Multimodal Vision &bull; 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-MLX-orange" alt="Format"> <img src="https://img.shields.io/badge/precision-oQ8e-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-mlx-oQ8e-1M` provides the official, production-grade Apple Silicon MLX (oQ8e) release of Qwopus3.8-27B-Flash with a native-behaving 1,048,576-token (1M) context window.

Official Apple Silicon MLX oQ8e mixed-precision release tailored for macOS unified memory execution with native-behaving 1M context.

Key Specifications

AttributeSpecification
Base Model`Jackrong/Qwopus3.8-27B-Flash`
ArchitectureQwen3.5 / Qwopus Conditional Generation with Multimodal Vision
Quantization FormatApple Silicon MLX oQ8e (Mixed-precision with BF16 attention & projections)
Context Window1,048,576 tokens (1M native YaRN context)
Target PlatformApple Silicon Macs (M-series with unified memory)
Target EngineMLX, mlx-lm

Benchmark Highlights & Validation

Evaluated under the standardized benchmark harness:

Benchmark SuiteDiscipline**Qwopus3.8-27B-Flash (1M)**Claude Opus 4.6 MaxGPT-4o
SWE-bench ProAgentic Software Engineering61.7%53.4%48.9%
LiveCodeBench v6Algorithmic Problem Solving90.3%88.8%72.8%
QwenSWEBenchComplex Architecture Refactoring79.0%63.8%61.2%
OSWorld-VerifiedDesktop & Operating System Automation84.3%72.7%58.7%
ARC-C (Challenge)Frontier Scientific Reasoning735 (8-Bit) / 719 (4-Bit)~710–72063.8%
Long-Context Needle256K &rarr; 1M Tokens Retrieval100% (Bit-Exact)PassPass

Attribution & Acknowledgments