中文简介
这是第三方基于 Qwen3.6-27B 制作的多阶段微调与 GGUF 量化版本,仓库同时提供常规和 MTP 量化文件。模型卡包含大量基准与“去限制”能力声明,本站未独立验证;这类衍生模型可能弱化安全拒答,使用前应重点评估内容安全、来源数据、量化差异和适用场景。
上游模型卡 / 数据集卡
这是第三方基于 Qwen3.6-27B 制作的多阶段微调与 GGUF 量化版本,仓库同时提供常规和 MTP 量化文件。模型卡包含大量基准与“去限制”能力声明,本站未独立验证;这类衍生模型可能弱化安全拒答,使用前应重点评估内容安全、来源数据、量化差异和适用场景。
Important: This is the first fine tune to exceed 700 "arc-c" (The OpenAI, Claude and Gemini "zone of intelligence") in both 8 bit and 4 bit. This repo contains both "regular" and "MTP" Neo MAX Imatrix quants. Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF The strongest, smartest open source multi-stage model fine tune for consumer hardware ever and BUILT on consumer hardware via Unsloth. The first model of this size/type to breach "700" ARC-C in both 8 bit and 4 bit; hench the "711" in the name. This model (both 4 bit and 8 bit) exceeds the base Qwen 3.6 27B in 6 out of 7 benchmarks, and matches it on the 7th AND exceeds all 7 benchmarks for Qwen3.6-35B-A3B. The 700 "intelligence club" is reserved for OpenAI, Claude and Gemini closed source models. This is the one they fear. EXAMPLE generations at the bottom of the page. This is a multi-stage fine tune, multi-fine tune, and multi-stage merge. A Colab between myself (multiple fine tunes, including multi-stage), Nightmedia (merge/benching), TeichAI (Polaris Dataset), armand0e (Light fable 5 traces) and trohrbaugh (heretic'ing the model). It also contains light "Fable" traces/training (armand0e), light Claude Opus (reasoning/thinking), F451 (inhouse dataset) and some GPT5 (Polaris, non reasoning). The strict goals of this model creation were: Increase the general model intelligence and problem solving abilities. DO NOT modify/damage or change the core model outside this goal. ZERO "benchmaxing" (it damages the model) Maintain and raise all core benchmarks. CORE MISSION:: Improve instruction following and problem solving. These work hand in hand, and if you get these right it improves to model top to bottom. It took a lot of tests on Qwen 3.5 9Bs to get the methods right. It boosted the 9Bs to new levels, and then the method was used on Qwen 3.5 27B which boosted it PAST the Qwen 3.6's 27B benchmarks. Here is one of the Qwen3.5 9B models (part of the test/control group) that EXCEEDS all 7 Qwen3.
上游文件元数据
.gitattributes3.94 KBmmproj-BF16.gguf888.01 MBmmproj-F16.gguf884.64 MBmmproj-F32.gguf1.72 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-IQ2_M.gguf10.87 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-IQ3_M.gguf13.11 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-IQ4_NL.gguf16.11 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-IQ4_XS.gguf15.44 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-LOW-MTP-IQ4_XS.gguf14.10 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-LOW-MTP-Q6_K.gguf21.27 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ2_M.gguf11.29 GBQwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-IQ3_M.gguf13.53 GB
本页面为橙子AI科技的中文整理与服务说明,不代表资源作者或平台官方页面。实际许可、访问和使用条件以上游原文为准。