Qwen / RESEARCH PROFILE
Qwen3.8-Flash-Next
A multimodal sparse model combining linear and sparse attention, mixture-of-experts routing, n-gram embeddings and multi-token prediction.
Source reviewed 2026-10-24 · AiBrainWorX editorial summary
- Creator
- Qwen
- Parameters
- 125B LM + 51B n-gram + 4B MTP
- Context
- 262,144 native; extension up to 1M
- License
- Qwen Community 1.0
01 / CAPABILITIES
What it is built for
- 125B language-model parameters; 6B activated
- Additional 51B n-gram embeddings and 4B MTP
- Vision encoder and long-context architecture
Inputs: Text + images
Publisher/model configuration specification. Usable context depends on deployment resources.
02 / ON YOUR MACHINE
Large RAM / specialized offload engine
Our tests use a separate pruned Coder IQ1_M artifact through Strata at 16K context with vision disabled. Those measurements do not benchmark these original full weights.
Research profile only
Runtime and training workflow
Dedicated research runtime
Separate model-specific training workflow. Training suitability requires exact checkpoint format and prepared data; a catalog entry is not a completed training test.
03 / WHAT IS VERIFIED
Evidence, with context
Source-reviewed research profile; this exact checkpoint has not been benchmarked locally.
We have not added a benchmark number without documenting its test conditions. A model-card capability is not a measured speed or quality guarantee on your hardware.
04 / OWNERSHIP & USE
Qwen Community 1.0
Custom community license, not MIT. Review its conditions and the separate quantization’s terms.
AiBrainWorX authors this profile and the launcher. Qwen remains the model’s creator. Models are not rebranded as our own weights.
05 / GO DEEPER
Original sources & model files
This page is our concise summary, not a mirror of the full upstream card. Review the original documentation and exact artifact before downloading.
Reviewed revision: de4b8e4d43b9 · Specifications may change after the review date.
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