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Model Detail

unsloth logo

Qwen3.8-Flash-Next-FP8

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Provider: unslothCategory: multimodalPipeline: image-text-to-text
DB Score
2.6
Downloads
3K
Likes
33
Day
+0.0%
Week
+1340.5%
Month
+0.0%
Overview

Qwen3.8-Flash-Next-FP8 is a multimodal model with 90.0B parameters released by unsloth. The model is registered under the image-text-to-text pipeline tag on Hugging Face, distributed under a other license.

Technical

Qwen3.8-Flash-Next-FP8 ships with 90.0B parameters. Total weight footprint is approximately 180.0 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.

Trending Signal

Downloads of Qwen3.8-Flash-Next-FP8 have moved +1340.5% over the trailing seven days. That puts the model in active uptrend territory; a sustained move of this size usually reflects a recent release, a viral integration, or a benchmark surprise rather than steady-state demand. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Qwen3.8-Flash-Next-FP8 is best fit for mixed text-and-image reasoning tasks such as document understanding. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licenseother
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Related News
arxiv4d ago

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability

arXiv:2608.30320v1 Announce Type: new Abstract: We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B parameters, 6B activated per token, and additional 51B parameters of n-gram embedding tables held off the accelerator. On fourteen pre-trainin

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