Model overview
Split GGUF builds of `0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored`. This repository currently publishes 18 verified quant families as 144 GGUF shards. Five IQ families were produced with the V6 calibration importance matrix; the remaining families are standard core quantizations. - Text/main model only. - NextN/MTP speculative-draft tensors excluded. - Vision projector excluded. - Produced from the verified F16 V6 main checkpoint. - Files are split below the Hugging Face per-file limit. - A recent `llama.cpp` build with `qwen4exp` support is required.
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。