qwen3.8-27b-uncensored-ninfer-v3

模型介绍

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.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

公开评测与运行配置

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。

常见问题

资料来源与可追溯记录

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。