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AI 模型库/DatKurai/Qwen3.8-Flash-Next-GSQ-RCO-Coder-Uncen-IQ1_M-GGUF
MODEL PROFILE · 模型档案

Qwen3.8-Flash-Next-GSQ-RCO-Coder-Uncen-IQ1_M-GGUF

DatKurai · Qwen3.8-Flash-Next-GSQ-RCO-Coder-Uncen-IQ1_M-GGUF

**The Coder, uncensored.** This release takes ISTA-DASLab's pruned **GSQ-RCO Coder** (IQ1_M tier, 256/512 experts per layer) and swaps its refusal behavior for the **abliterated (uncensored) core** of `SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF` — as a **weights-only transplant**. No runtime control vector is needed: the abliteration is in the tensors. ("Uncen" here means exactly that abliterated core; the original build was prepared under the name *Coder-Abliterated*, which `MANIFEST.json` keeps.) > **Runtime support.** Built for and served with the **Strata** engine. Stock llama.cpp / Ollama / vLLM are not tested with this artifact. Behavior reports are welcome. Please open a **discussion in the Community tab** with: hardware + RAM, engine + version, context/settings, and what you observed (refusals or their absence, behaviour, languages).

译文排队中，当前展示来源原文。

视觉问答license:apache-2.0
上下文窗口来源未披露
输入 → 输出文本、图像 → 文本
模型权重待核验
档案更新时间2026/11/2 19:16:08
OVERVIEW

模型介绍

**The Coder, uncensored.** This release takes ISTA-DASLab's pruned **GSQ-RCO Coder** (IQ1_M tier, 256/512 experts per layer) and swaps its refusal behavior for the **abliterated (uncensored) core** of `SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF` — as a **weights-only transplant**. No runtime control vector is needed: the abliteration is in the tensors. ("Uncen" here means exactly that abliterated core; the original build was prepared under the name *Coder-Abliterated*, which `MANIFEST.json` keeps.) > **Runtime support.** Built for and served with the **Strata** engine. Stock llama.cpp / Ollama / vLLM are not tested with this artifact. Behavior reports are welcome. Please open a **discussion in the Community tab** with: hardware + RAM, engine + version, context/settings, and what you observed (refusals or their absence, behaviour, languages).

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。

PRICING & COST

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。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价，请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用？

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗？

不是实时结算价格，而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

huggingface · DatKurai/Qwen3.8-Flash-Next-GSQ-RCO-Coder-Uncen-IQ1_M-GGUF ↗2026/10/30 13:26:03
huggingface · enrich:44f945db-b2e2-45d6-9970-a6601e2c36d4 ↗2026/10/31 09:53:14

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。