Model overview
The **uncensored** Qwen3.8-Flash-Next (125B total / 6B active MoE) packed for mlx-serve, so it actually fits and flies on a 128 GB Apple Silicon Mac: > The other ways to run this model uncensored on a Mac either don't fit 128 GB > (the original MLX repo is 163 GiB) or run slower (GGUF IQ4_XS ≈ 26 tok/s on > the same hardware; generic Python MLX paths ≈ 27–36 tok/s). This is a 4-bit MLX-Serve pack of **orcarouter/Qwen3.8-Flash-Next-Uncensored** — the full-precision **BF16 abliterated** (refusal-removed) build of Qwen's Qwen3.8-Flash-Next. See orcarouter's card for the full abliteration methodology and evaluation; this section summarizes 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：apache-2.0。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。