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mradermacher /

Ornith-1.5-9B-uncensored-GGUF

HF 源站

mradermacher/Ornith-1.5-9B-uncensored-GGUF is an uncensored open-source model hosted on Hugging Face.

GGUFEnglishLicense: apache-2.09Btransformersornithqwen3_5abliterateduncensoredzerofusemultimodalvisionconversational
README.md说明 / 使用方法

base_model: junafinity/Ornith-1.5-9B-uncensored language:

  • en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:
  • ornith
  • qwen3_5
  • abliterated
  • uncensored
  • zerofuse
  • multimodal
  • vision

关于模型 (About)

本模型为 https://huggingface.co/junafinity/Ornith-1.5-9B-uncensored 的静态量化版本。

如需便捷查看总览与下载列表,请访问我们的 该模型专属主页。

加权/重要性矩阵(imatrix)量化版本可在 https://huggingface.co/mradermacher/Ornith-1.5-9B-uncensored-i1-GGUF 获取。

使用方法 (Usage)

如果您不确定如何使用 GGUF 文件,请参阅 TheBloke 的 README 说明文档 获取更多详细信息,包括如何拼接分卷多文件。

提供的量化版本 (Provided Quants)

(按文件体积排序,并不完全等同于质量高低。对于相似体积的量化版本,IQ 量化通常优于非 IQ 量化)

链接类型大小/GB说明
GGUFmmproj-Q8_00.7多模态补充组件
GGUFmmproj-f161.0多模态补充组件
GGUFQ2_K3.9
GGUFQ3_K_S4.4
GGUFQ3_K_M4.7质量较低
GGUFQ3_K_L5.0
GGUFIQ4_XS5.3
GGUFQ4_K_S5.5快速,推荐
GGUFQ4_K_M5.7快速,推荐
GGUFQ5_K_S6.4
GGUFQ5_K_M6.6
GGUFQ6_K7.5非常好质量
GGUFQ8_09.6快速,最佳质量
GGUFf1618.016 bpw,对大多数场景冗余

这里有一张由 ikawrakow 制作的对比部分较低质量量化类型的实用图表(数值越低越好):

image.png

此外还有 Artefact2 对该问题的深入探讨: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

常见问题 / 模型需求 (FAQ / Model Request)

如果您有任何疑问,或者希望量化其他模型,请参阅 https://huggingface.co/mradermacher/model_requests 获取解答或提交请求。

致谢 (Thanks)

感谢我的公司 nethype GmbH 允许我在业余时间使用其服务器并升级我的工作站,使这项工作得以开展。

源站原文

base_model: junafinity/Ornith-1.5-9B-uncensored language:

  • en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags:
  • ornith
  • qwen3_5
  • abliterated
  • uncensored
  • zerofuse
  • multimodal
  • vision

About

static quants of https://huggingface.co/junafinity/Ornith-1.5-9B-uncensored

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ornith-1.5-9B-uncensored-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.7multi-modal supplement
GGUFmmproj-f161.0multi-modal supplement
GGUFQ2_K3.9
GGUFQ3_K_S4.4
GGUFQ3_K_M4.7lower quality
GGUFQ3_K_L5.0
GGUFIQ4_XS5.3
GGUFQ4_K_S5.5fast, recommended
GGUFQ4_K_M5.7fast, recommended
GGUFQ5_K_S6.4
GGUFQ5_K_M6.6
GGUFQ6_K7.5very good quality
GGUFQ8_09.6fast, best quality
GGUFf1618.016 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

HUGGING FACE

上游数据

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来源与版本

作者
mradermacher
最近更新
2026/08/20
最新创建
2026/08/20
HF 趋势
72
数据快照
2026/09/16
版本
未知
许可证
apache-2.0