Model overview
> **Qwen3.8-27B** is a 27-billion-parameter dense causal language model with a native vision encoder from the Qwen team, built on the Qwen3.5 architectural foundation as a compact, deployment-friendly member of the newly introduced Qwen3.8 generation — the most capable in the Qwen open-model family to date. Its 64-layer hybrid architecture interleaves Gated DeltaNet linear-attention blocks with periodic Gated Attention layers, trained with Multi-Token Prediction, and supports a native 262,144-token context window (extensible to 1M via YaRN scaling), native image and video understanding from STEM diagrams to hour-scale videos, and flexible thinking control via a `reasoning_effort` parameter (xhigh/medium/low) with thinking enabled by default and historical reasoning preserved across turns. It delivers substantial gains over its predecessor Qwen3.6-27B and often rivals or exceeds larger models like Muse Glimmer-30B and even Opus 4.6 Max on several benchmarks — scoring 73.0 on Terminal-Bench 2.1, 61.7 on SWE-bench Pro, 84.3 on OSWorld-Verified computer-use, 81.9 on AndroidWorld mobile-use, and 90.3 on LiveCodeBench v6 — reflecting particular strength in agentic coding, computer/browser/mobile-use tasks, and multimodal tool use, while remaining competitive on general reasoning benchmarks like GPQA Diamond (89.2) and IFBench (79.5). It's compatible with Hugging Face Transformers, vLLM, SGLang, and TokenSpeed out of the box, released under Apache-2.0. > [!NOTE] Multi-Token Prediction (MTP) GGUF is a specialized GGUF model file format extension that integrates speculative decoding directly into the model weights to significantly accelerate local inference. Unlike traditional speculative decoding which requires a separate, smaller "draft" model, MTP GGUF files include additional output heads within the main model architecture that predict multiple future tokens in a single forward pass. File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | Qwen3.8-27B.BF16.gguf | BF16 | 54.7 GB | Download | | Qwen3.8-27B.F16.gguf | F16 | 54.7 GB | Download | | Qwen3.8-27B.Q2_K.gguf | Q2_K | 10.9 GB | Download | | Qwen3.8-27B.Q3_K_L.gguf |
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
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Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
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Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。