Model overview
**A one-DGX-Spark Q4_K_M release with a native MTP draft, Q8_0 vision projector, bounded reasoning, and a verified 262K context path.** This is the llama.cpp build of `Jiunsong/SuperQwen3.8-27b-abliterated`: the corrected rank-4 OBLITERATUS model, not an adapter and not the earlier incorrect lineage. The target, MTP draft, and multimodal projector are separate so text-only users do not pay for the projector, while vision and native speculative decoding remain available. The target contains 433 Q4_K, 65 Q6_K, and 353 F32 tensors. The MTP draft contains 10 Q4_0 and 8 F32 tensors. The projector deliberately retains unsupported or sensitive matrices: 83 Q8_0, 27 F16, and 224 F32 tensors.
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。