Model overview
- https://huggingface.co/Qwen/Qwen3.8-Flash-Next - https://huggingface.co/incoai/Qwen3.8-Flash-Next-DFlash2 - `Q8_0` and `IQ4_NL`: all routed experts use the base quantization type. - `Q2_K`: routed gate/up experts at Q2_K, routed down experts at IQ4_NL. - Small non-expert tensors (embeddings, PLE embeddings, attention, shared experts) are kept at Q8_0, the PLE embedding is at Q4_0. - Includes a Q8_0 mmproj for the vision encoder, MTP sidecars (Q8_0 / Q4_0) and a DFlash2 draft sidecar (BF16 / Q8_0 / Q4_0) for speculative decoding. - The `Q2_K` routed gate/up expert tensors are calibrated with the imatrix from https://huggingface.co/AesSedai/Qwen3.8-Flash-Next-GGUF > [!IMPORTANT] > This model is automatically converted using https://github.com/ggml-org/convert
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。