Model overview
An abliterated (refusal-removed) build of Qwen3.8-27B packaged in NInfer's native **v3 `.ninfer`** container, with the **NVFP4/FP8 mixed-precision weight profile** and the **DFlash2 + MTP speculative-decoding heads and the vision tower preserved**. Runs on a single NVIDIA RTX 5090. This repository publishes the **container upgrade** of an existing community artifact so that it loads in the current NInfer engine, which requires v3 containers. **No weights were modified, re-quantized, or fine-tuned.** 1. **Container upgrade v2 → v3** using the official, upstream tool `tools/upgrade_ninfer_v2_to_v3.py`. Per the tool's contract, **stored weight values and formats are preserved byte-for-byte**; the tool rewrites the framing/metadata directory and installs the maintained `qwen3_8.jinja` chat template. The resulting file is 263,664 bytes larger than the v2 source (metadata + template only). 2. The upgrade was executed on Windows, which required four compatibility shims in the tool (the upstream tool targets Linux): `os.posix_fadvise`/`POSIX_FADV_*` (no-op), `os.fdatasync` → `os.fsync`, `os.sysconf("SC_PAGE_SIZE")` → 4096, and `os.pread`/`os.pwrite` emulation via `lseek` + `read`/`write`. These shims only affect durability/access-pattern hints; they do not touch the artifact payload. 3. **Nothing else was changed.** No re-quantization, no fine-tuning, no merge, no weight edits. All abliteration was performed upstream by OrcaRouter.
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。