模型介绍
中文整理Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3 XXS v2.1
⬇️ English version below
简介
v2.1 是面向单张 16 GB 显卡的 Qwen3.8-27B 单文件 GGUF 量化模型,主干约 3.04 bpw,并内嵌训练所得
MTP 草稿头。它基于 OrcaRouter 提供的 Qwen3.8-27B 权重;主干经过量化,不是重新微调的主模型。
模型说明
本版本在 GSQ/RCO 逐张量分配中,将 ffn gate.weight 和 ffn up.weight 调整为 IQ3 XXS,针对先前观察到的
约 65,536 token 后生成异常。2026-10-02 的 build2 配对烟测中,v2.0 与 v2.1 都从同一 66,316 token 提示中
返回正确 needle 并生成多个 token;该次测试没有复现 v2.0 的早先异常,因此不能据此证明 v2.1 单独修复了
所有长上下文生成问题。完整结果和限制见“评测数据与结果”。
适用范围
本地文本生成、工具格式输出及检索增强工作流。
需要较长上下文时,应明确记录引擎、上下文长度、KV 类型和推测解码设置。
视觉输入需要单独的 mmproj/ 投影器;本 GGUF 本身提供文本与工具能力。
快速规格
项目 信息
- -- ---
文件 Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3 XXS-v2.1.gguf
大小 / SHA-256 10,382,717,184 字节(9.67 GiB) / AB955B5083D9CDF0BF55C37ACDCAE359B78756C4544D97960C23D8FCA98FEB9B
主干量化 IQ3 XXS,3.04 bpw
架构 Qwen3.8;64 层主干:16 层全注意力 + 48 层 GDN;另含 1 个 MTP 块
MTP 草稿头 内嵌 blk.64 共 15 个张量:7 个权重张量为 Q6 K, attn output.weight 为 IQ4 XS,7 个归一化张量为 F32
原生上下文 262,144 token;这不代表所有长度均已完成可靠性验证
对话模板 Froggeric v22.5,已烘焙进 GGUF; --jinja 可选择该模板
参考硬件 单张 RTX 5070 Ti 16 GB,Windows
GDN 状态维度为 128;注意力 head dim 为 256。这是不同子系统的维度。
运行方式
32K 常用配置(MTP 开启):
全历史长上下文配置(MTP 关闭,KV 全部保留):
评测数据与结果
以下数字来自不同引擎和配置,不应合并为同一性能结论。
测试 结果 配置与范围
- -- ---: ---
全历史 196K needle 3/3 v2.1;build-kv fa5994f5c ;q4 0/q4 0;MTP 关闭;KVMem 关闭;2026-10-02
全历史 196K 解码 33.7 token/s 同上;预填充 662–664 token/s
短上下文 needle 6/6 v2.1;build3 19fff3e38 ;约 16,053-token haystack;三种深度
短上下文工具 JSON 13/14 v2.1 build3 14 例套件;失败项为 tc-07
短上下文一致性 4/4 v2.1 build3 四例 rubric
短上下文解码探测 106.4 token/s v2.1 build3 MTP;探测输入 token 数未记录;不是 16K 输入后的解码速度
build2 配对基础配置 v2.0、v2.1 均通过四项有限检查;66K 中心探测共完成两轮 173016 与重复运行 182907 ;短 recall、天气 JSON、一致性、66,316-token 中心 needle;最终响应均为 finish reason=stop
build2 配置使用 q4 0/q4 0、无推测解码、KVMem 关闭。66K 输入下,v2.0 输出 280 token,v2.1 输出 150 token;
单次输出长度不同,因此不据此声称速度优势。该探测没有复现早先记录的 v2.0 异常,也不能证明普遍修复。
单独 MTP profile 中,两个版本都到达 256-token 上限,最终内容为空且 finish reason=length ;输出不完整,
其吞吐与草稿接受数不作为合格响应或性能指标。后续独立的一轮 MTP 一致性回答在 1,024-token 上限内均完成四句话,
并以 finish reason=stop 结束;这只验证单次短回答,不代表多轮稳定性或普遍 MTP 质量,也不构成速度优势。
日志 profile: 173016 、重复运行 182907 、MTP profile 173756 与 180503 。
现存限制与验证状态
2026-10-02 build2 配对测试是有限功能烟测,不等于完整质量验证;v2.1 为发布候选版本,仍需操作员最终审核。
GPQA-Diamond(198 题)、IFEval(541 项)、WikiText-2 PPL、TruthfulQA、XSTest-safe 及大目标长度矩阵:数据集已获取,v2.1 评分未运行,延期;不得报告为 v2.1 成绩。
196K 全历史测试只覆盖一个上下文长度与三个 needle 深度;其他长度及重复可靠性未验证。
- 5 token/s 的 KVMem 窗口配置出现 2/6 needle 失败,不建议用于要求完整历史检索的任务。
- GPQA-Diamond、WikiText-2 PPL、IFEval、TruthfulQA 与 XSTest-safe 的历史分数属于 v2.0;不得作为 v2.1 指标。
本卡不声称广泛质量、普遍长上下文可靠性或完整发布资格。
English version
Overview
v2.1 is a single-file Qwen3.8-27B GGUF quantization designed for one 16 GB GPU. The trunk is about 3.04 bpw and
the file includes a trained MTP draft head. It uses Qwen3.8-27B weights supplied by OrcaRouter; the trunk is
quantized rather than newly fine-tuned.
Model details and intended use
The v2.1 allocation raises ffn gate.weight and ffn up.weight to IQ3 XXS, targeting a generation anomaly
previously observed beyond roughly 65,536 tokens. In the 2026-10-02 build2 paired smoke, both v2.0 and v2.1
returned the correct needle with multi-token output from the same 66,316-token prompt. That run did not reproduce
the earlier v2.0 anomaly, so it does not prove a v2.1-specific or universal fix. This model is intended for local
text generation, structured tool output, and retrieval-assisted workflows. Vision input requires the separate
mmproj/ projector.
Quick specifications
Property Value
- -- ---
File Qwen3.8-27B-OrcaRouter-GSQ-RCO-IQ3 XXS-v2.1.gguf
Size / SHA-256 10,382,717,184 bytes (9.67 GiB) / AB955B5083D9CDF0BF55C37ACDCAE359B78756C4544D97960C23D8FCA98FEB9B
Trunk IQ3 XXS, 3.04 bpw
Architecture Qwen3.8; 64 trunk layers: 16 full attention + 48 GDN; plus one MTP block
MTP head Embedded blk.64 , 15 tensors: seven weight tensors Q6 K, attn output.weight IQ4 XS, seven F32 norm tensors
Native context 262,144 tokens; this is not a reliability claim for every context length
Chat template Froggeric v22.5, baked into the GGUF; --jinja selects it
Reference hardware One RTX 5070 Ti 16 GB, Windows
GDN state size is 128; attention head dimension is 256. These are separate subsystems.
Usage
32K default with MTP:
Full-history long context, with MTP off:
Evaluation results
These results use different engines and configurations; do not combine them into one performance claim.
Test Result Configuration and scope
- -- ---: ---
Full-history 196K needle 3/3 v2.1; build-kv fa5994f5c ; q4 0/q4 0; MTP off; KVMem off; 2026-10-02
Full-history 196K decode 33.7 tokens/s Same configuration; 662–664 tokens/s prefill
Short-context needle 6/6 v2.1; build3 19fff3e38 ; ~16,053-token haystack; three depths
Short-context tool JSON 13/14 v2.1 build3 14-case suite; failed case tc-07
Short-context coherence 4/4 v2.1 build3 four-case rubric
Short-context decode probe 106.4 tokens/s v2.1 build3 with MTP; input token count not retained; not decode after a 16K ingest
build2 paired base profile Both v2.0 and v2.1 passed four bounded checks; centered 66K probe ran twice Profiles 173016 and repeat 182907 ; short recall, weather JSON, coherence, and centered 66,316-token needle; final answers ended with finish reason=stop
One-turn MTP coherence Both versions completed one four-sentence answer Separate 1,024-token cap profile; one sample per condition; not multi-turn qualification or a speed claim
The build2 profile used q4 0/q4 0, speculation off, and KVMem off. At 66K, v2.0 generated 280 tokens and v2.1
generated 150; these unequal single-prompt outputs are not a speed comparison. The probe did not reproduce the
earlier v2.0 anomaly and does not prove a general fix. In the separate MTP profile, both versions hit the
256-token cap with empty final content and finish reason=length ; these are incomplete outputs, not qualified
response or performance results. A later one-turn MTP coherence check completed four-sentence answers for both
versions at the 1,024-token cap with finish reason=stop ; it does not establish multi-turn robustness, general
MTP quality, or a speed advantage. Run profiles: 173016 , repeat 182907 , MTP profiles 173756 and 180503 .
Limitations and validation status
- The paired build2 run is a limited functional smoke, not broad quality qualification. v2.1 is a release candidate pending the operator's final review.
The 196K full-history measurement covers one context length and three needle depths; other lengths and repeat
reliability remain untested.
The KVMem-window configuration measured 74.5 tokens/s but failed needle recall 2/6; do not use it when
retrieval across the full history matters.
GPQA-Diamond 75.25%, WikiText-2 perplexity 6.17, IFEval, TruthfulQA, and refusal-rate results were measured
on v2.0. They have not been remeasured on v2.1 and are not v2.1 scores.
The GPQA-Diamond 198-question suite, IFEval 541-item suite, WikiText-2 PPL, TruthfulQA, XSTest-safe, and large-target-length matrix were not run for v2.1 by the release review; they are deferred. Datasets were acquired, but no v2.1 scores were produced. This card does not claim complete release qualification.
优先采用原作者提供的中文模型卡片;仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。
你将获得什么
完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件;指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖,请按作者说明配齐。
完整仓库可能包含多个权重格式,因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。
使用前须知
运行模型需要的设备、工具与依赖,以原作者说明为准。
是否允许商用、修改和分发,请查看模型许可证。
闲社提供资料与镜像下载方法,不代表已运行模型或完成安全审计。下载的代码应先检查,再执行。
资料或下载有问题?
登录后可提交反馈。
