Model overview
**W4A16 AWQ quantization of the abliterated (refusal-removed) Qwen3.8-27B, with the MTP speculative-decoding module preserved.** As of 2026-08-15 this appears to be the only **AWQ / W4A16** build of an abliterated Qwen3.8-27B. Other abliterated derivatives are GGUF, MLX, NVFP4, MXFP4, BF16 or INT8 — none of which give a fast 4-bit weight-only path under vLLM on Ampere. It is also one of only two abliterated builds of any format that preserve the MTP module. To be clear about what this is *not*: AWQ builds of the **base** (non-abliterated) Qwen3.8-27B do exist and several predate this one. The gap filled here is the abliterated + W4A16 + MTP combination, not AWQ of this model in general.
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。