Model overview
A **4-bit weight-only (W4A16)** quantization of the *uncensored / abliterated* Qwen3.8-27B vision-language model, sized to run on a single **24 GB GPU (e.g. RTX 3090)**. This is the exact quant used to serve an agentic assistant ("Sage") live on an RTX 3090 in day-to-day use, so it's known to load and run under vLLM on consumer 24 GB hardware — not just a theoretical export. Then hit the OpenAI-compatible endpoint at `http://localhost:8000/v1`. Adjust `--max-model-len` to trade context length against KV-cache memory on a 24 GB card. A recent vLLM with `compressed-tensors` support is required.
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。