JMNI-Labs/Qwen3.8-Flash-Next-NVFP4-QAD5500-Hybrid
image-text-to-text model by JMNI-Labs
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Model card & documentation
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A tensor-level merge of two revisions of local-inference-lab/Qwen3.8-Flash-Next-NVFP4. It keeps every trained tensor from the newer step-5500 QAD checkpoint and stores the two untrained module groups in the serving formats of the earlier release, so it runs on the b12x kernel stack at the earlier release's speed. Both upstream model cards state that attention and the MTP module were not distilled: the earlier release stores attention as MXFP8 post-training quantization, step-5500 stores the same source attention in BF16, and both quantize the same source MTP experts (NVFP4 vs MXFP8). On GB10 (SM121) the published step-5500 has two costs: BF16 attention adds weight reads to every decode step, and b12x has no MXFP8 MoE kernel, so its MTP drafter needs a slower backend (Triton has no SM121 MXFP8 kernel; Marlin works). Restoring the earlier formats for exactly these untrained modules keeps all step-5500 training while serving at full b12x speed. The…
Read the full model card ↗ · Preview checked 2026-09-27T07:58:52.525Z
Inside the original model card — Document outline
- Qwen3.8-Flash-Next NVFP4 QAD-5500 Hybrid
- Why
- Verification
- Measured on 2 × DGX Spark (TP2)
- Serving notes
- License and credit
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Model overview
JMNI-Labs/Qwen3.8-Flash-Next-NVFP4-QAD5500-Hybrid is a image-text-to-text model repository published by JMNI-Labs on Hugging Face. The source reports the vllm 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
- vllm
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 92,743,589,779
- Architecture
- Qwen4ExpForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-27T06:07:41.000Z
- Last modified
- 2026-09-27T06:15:33.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: local-inference-lab/Qwen3.8-Flash-Next-NVFP4
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.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-27T06:37:53.622Z. Daily imports are snapshots, not real-time monitoring.
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