commit 613051a1281070836ef97f1e2e4931b8f28892f1 Author: ModelHub XC Date: Tue May 26 02:46:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/QwenGuard-v1.2-7B-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..0e72329 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,48 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text 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I have explicitly checked that downloading LlavaGuard is legal in my jurisdiction, + in the country/region where I am located right now, and for the use case that + I have described above, I have also read and accepted the relevant Terms of Use + : checkbox + Name: text +extra_gated_prompt: By filling out the form below I understand that LlavaGuard is + a derivative model based on webscraped images and the SMID dataset that use individual + licenses and their respective terms and conditions apply. I understand that all + content uses are subject to the terms of use. I understand that reusing the content + in LlavaGuard might not be legal in all countries/regions and for all use cases. + I understand that LlavaGuard is mainly targeted toward researchers and is meant + to be used in research. LlavaGuard authors reserve the right to revoke my access + to this data. They reserve the right to modify this data at any time in accordance + with take-down requests. +language: +- en +library_name: transformers +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- llama-factory +- freeze +- generated_from_trainer +--- +## About + + + + + + +static quants of https://huggingface.co/AIML-TUDA/QwenGuard-v1.2-7B + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#QwenGuard-v1.2-7B-GGUF).*** + +weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. +## Usage + +If you are unsure how to use GGUF files, refer to one of [TheBloke's +READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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) + +| Link | Type | Size/GB | Notes | +|:-----|:-----|--------:|:------| +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 1.0 | multi-modal supplement | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.mmproj-f16.gguf) | mmproj-f16 | 1.5 | multi-modal supplement | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q2_K.gguf) | Q2_K | 3.1 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q3_K_S.gguf) | Q3_K_S | 3.6 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q3_K_L.gguf) | Q3_K_L | 4.2 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q5_K_S.gguf) | Q5_K_S | 5.4 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q5_K_M.gguf) | Q5_K_M | 5.5 | | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q6_K.gguf) | Q6_K | 6.4 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/QwenGuard-v1.2-7B-GGUF/resolve/main/QwenGuard-v1.2-7B.f16.gguf) | f16 | 15.3 | 16 bpw, overkill | + +Here is a handy graph by ikawrakow comparing some lower-quality quant +types (lower is better): + +![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting +me use its servers and providing upgrades to my workstation to enable +this work in my free time. + +