Model overview
GGUF quantization of **hotdogs/Qwen3.8-27B-abliterated** — the training-free abliterated (refusal-removed) build of `Qwen/Qwen3.8-27B` — converted for **llama.cpp** with the **MTP (Multi-Token Prediction) head preserved**. > **Status: testing / development.** This is an early GGUF upload for evaluation. It has **not yet been calibrated with an imatrix** — the low-bit `Q4_K_M` quality is expected to improve once an imatrix is added (see *Roadmap*). Feedback welcome. These `-mixed` quants use a **hybrid precision recipe** to get closer to the f16 reference: the token-embedding and all output tensors are kept at `q8_0` while the rest of the network is quantized to the base level, and they are built with an **imatrix** (CPU calibration) — `Q4_K_M-mixed` and `Q6_K-mixed`.
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。