Model overview
This is a single-file GGUF of Qwen/Qwen3.8-Flash-Next with the model's multi-token-prediction (MTP) head added back in. The mix of quantizations is chosen so that every routed expert fits in 2× 32 GB of VRAM, and the MTP head lets llama.cpp decode speculatively. This model and patch is specifically tuned for dual Nvidia Tesla V100(32GB VRAM). > **This file needs a patched llama.cpp.** It uses the `qwen4exp` architecture with > MTP (`nextn`) tensors. Stock llama.cpp, Ollama and LM Studio cannot load it. See > Runtime. - unsloth GGUF revision `c8b5954a88c2775c546b92593eda40ea041d3176`. - Qwen checkpoint revision `de4b8e4d43b917e7706784d8bb445c9af86a3540`. Only the `mtp.*` tensors are taken from it.
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。