RadixArk/Qwen3.8-27B-NVFP4
image-text-to-text model by RadixArk
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Model card & documentation
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The RadixArk Qwen3.8-27B-NVFP4 model is the quantized version of Qwen/Qwen3.8-27B. The quantization was produced at RadixArk using NVIDIA Model Optimizer, following a mixed NVFP4 W4A4 recipe. Run on SGLang: launch command and per-platform recipes in the Qwen3.8-27B cookbook. This model is not owned or developed by RadixArk. It is a quantized derivative of Qwen's model; see the upstream Qwen3.8-27B model card for the source model's capabilities, training information, limitations, and license. Apache License 2.0 Global Developers looking to deploy an off-the-shelf, pre-quantized model in AI agent systems, chatbots, RAG systems, and other AI-powered applications. Hugging Face 08/14/2026 via https://huggingface.co/RadixArk/Qwen3.8-27B-NVFP4 Architecture Type: Transformers (Dense Multimodal) Network Architecture: Qwen3.8-27B Number of Model Parameters: 27B Input Type(s): Text, image, and video Input Format(s): String and visual media Other Properties Related to Input: Native context length up to 262,144 tokens. Output Type(s): Text Output Format: String Supported Runtime Engine(s): Supported Hardware Microarchitecture Compatibility: Preferred…
Read the full model card ↗ · Preview checked 2026-10-29T11:42:53.859Z
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Model overview
RadixArk/Qwen3.8-27B-NVFP4 is a image-text-to-text model repository published by RadixArk on Hugging Face. The source reports the Model Optimizer library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Model Optimizer
- Recent downloads (30 days)
- 981,780
- Cumulative likes
- 121
- Hugging Face trending score
- 2
- Reported safetensors parameters
- 18,164,649,200
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-08-14T05:41:23.000Z
- Last modified
- 2026-08-22T07:38:11.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-27B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.