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Qwen3.8-27B-NVFP4

Qwen3.8-27B-NVFP4 is a 27B-parameter quantized checkpoint of the Qwen3.8-27B family, produced with NVIDIA Model Optimizer using a mixed NVFP4 (MLP & lm_head) and FP8 (attention & linear) recipe. The model card includes evaluation results, usage instructions for vLLM and SGLang serving, and a stated context length of up to 262,144 tokens.

What it does

Developers can download and serve the checkpoint in agent systems, chatbots, RAG systems, and other AI applications.

Availability
Hugging Face release dated 09/08/2026
Pricing model
Apache-2.0 (permissive, allows commercial use)
Deployment
NVIDIA Blackwell; Linux; vLLM or SGLang
Privacy
Global
Licence
Apache 2.0
Capability
text generationanalysiscode generationagents
Modality
textimagevideomultimodal
Access
open weights
Deployment
on-premises
Pricing
unknown
Target user
developerresearcherenterprise

Evidence

6 claims
  • The checkpoint accepts text, image, and video inputs and produces text. [1]
    Please make sure you have proper rights and permissions for all input image and video content; if image or video includes people, personal health information, or intellectual property, the image or video generated will not blur or maintain proportions of image subjects included.
    NVIDIA. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model supports a context length of up to 262K tokens. [1]
    **Other Properties Related to Input:** Context length up to 262K <br>
    NVIDIA. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The checkpoint is available on Hugging Face. [1]
    To reproduce this checkpoint, follow the command in the [Using Local Hessian](https://nvidia.github.io/Model-Optimizer/announcements/local-hessian.html#using-local-hessian) section.
    NVIDIA. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model card lists vLLM and SGLang as supported runtime engines. [1]
  • The model card lists NVIDIA Blackwell as the supported hardware microarchitecture. [1]
  • The model card identifies agent systems, chatbots, and RAG systems as use cases. [1]
    Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications.
    NVIDIA. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

1
1
NVIDIAOwner-controlled
https://huggingface.co/nvidia/Qwen3.8-27B-NVFP4 Retrieved 2026-10-28 00:02 UTC
Verified

Versions

3
VersionEffectiveChangeChanged fieldsState
32026-10-05 06:49 UTCevidence updatescoreCurrent
22026-09-24 16:39 UTCmaterial changemodality, access, deployment, pricing, availability, deploymentCurrent
12026-09-23 17:33 UTCpublicationNoneCurrent

In briefs

1

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.