nvidia/Qwen3.8-Flash-Next-FP4-Local
image-text-to-text model by nvidia
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IMPORTANT: the NVFP4 scale factors in this checkpoint are in a new lossless compression format, but upstream vLLM support for this format has not yet landed. You must use one of the containers provided below. The NVIDIA Qwen3.8-Flash-Next-FP4-Local model is the quantized version of Alibaba's Qwen3.8-Flash-Next model, which is an auto-regressive language model that uses an optimized transformer architecture. Qwen3.8-Flash-Next is a causal language model with a vision encoder, hybrid attention (Gated DeltaNet and Qwen Sparse Attention), Mixture-of-Experts, gated residual streams, and n-gram embeddings. For more information, please check here. The NVIDIA Qwen3.8-Flash-Next-FP4-Local model is quantized with Model Optimizer using quantization-aware distillation (QAD). The checkpoint occupies approximately 96 GiB on disk and is best suited for local AI hardware. It has been validated with vLLM on the following hardware: This model is ready for commercial or non-commercial use. This model is not owned or developed by NVIDIA. This model has…
Read the full model card ↗ · Preview checked 2026-10-29T06:45:49.731Z
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Model overview
nvidia/Qwen3.8-Flash-Next-FP4-Local is a image-text-to-text model repository published by nvidia on Hugging Face. The source reports the Model Optimizer library.
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Model facts
- Task
- image-text-to-text
- Library
- Model Optimizer
- Recent downloads (30 days)
- 18,029
- Cumulative likes
- 355
- Hugging Face trending score
- 74
- Reported safetensors parameters
- 96,486,615,005
- Architecture
- Qwen4ExpForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-08T16:20:17.000Z
- Last modified
- 2026-10-15T19:45:54.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-Flash-Next
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 2026-10-28T06:46:49.966Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.