Model overview
Quantizations of trohrbaugh/Qwen3.8-27B-heretic-ara with **MTP (Multi-Token Prediction) tensors preserved** (866 tensors) and **vision projector (mmproj)** for multimodal image understanding. Includes **ROCmFPX quants** for the ROCmFPX fork of llama.cpp — **~42 t/s average decode** on AMD Strix Halo (50–75% faster than stock Vulkan). trohrbaugh/Qwen3.8-27B-heretic-ara — Arbitrary-Rank Ablation (ARA) uncensoring of Qwen3.8-27B using heretic v1.2.0+custom. Parameters: start_layer 26, end_layer 56, preserve_good_behavior_weight 0.9432, steer_bad_behavior_weight 0.0009. KL divergence 0.0535, 0/100 refusals.
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。