Qwen3.8-Flash-Next
An experimental open-weight multimodal model with sparse attention and 262K native context.
What do you want to do?
Choose a task. Get the software, files, settings, and steps to run it.
Build a coding assistant with Strata (Qwen3.8-Flash-Next Coder)
Run Qwen3.8-Flash-Next through Strata, connect VS Code and Cline, and complete a real coding task. Choose the smaller Coder derivative or a full pack, then follow Windows, Linux or RunPod instructions. Compare actual speed, memory use, and tool results on your own setup.
Build a private AI agent with Qwen3.8-Flash-Next
Run the official high-memory package, connect Hermes to its private Ollama endpoint, and produce a checked project review.
Code with Qwen3.8-Flash-Next in VS Code + Cline
Use the base Qwen3.8-Flash-Next checkpoint with VS Code and Cline, review a real code change, and test it. This is separate from the Strata derivative.
Open a guide for its software, hardware requirements, and setup steps.
At a glance
- Parameters
- 125B language · 6B active
- Architecture
- Hybrid sparse attention
- Context length
- 262,144 native
- License
- Qwen Community License 1.0
- Software
- vLLM, SGLang, Transformers
Will it run on your machine?
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Add my hardwareWays to run it
vLLM · Linux
Qwen documents vLLM and SGLang routes. Use current supported runtime versions and size the full checkpoint and desired context.
vllm serve "Qwen/Qwen3.8-Flash-Next"Explore its uses
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