From faf64ac6e16f21a2b7fad1fab1a2f5502920832e Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 4 May 2026 21:59:59 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: mradermacher/JoyMed-32B-v1.0-i1-GGUF Source: Original Platform --- .gitattributes | 59 +++++++++++++++++++++++ JoyMed-32B-v1.0.i1-IQ1_M.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ1_S.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ2_M.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ2_S.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ2_XS.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ2_XXS.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ3_M.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ3_S.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ3_XS.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ3_XXS.gguf | 3 ++ JoyMed-32B-v1.0.i1-IQ4_XS.gguf | 3 ++ JoyMed-32B-v1.0.i1-Q2_K.gguf | 3 ++ JoyMed-32B-v1.0.i1-Q2_K_S.gguf 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sha256:de2c7739489726dfc34fbc969e83b57c87f743f0d3963de9db876c9283dab019 +size 15273216 diff --git a/README.md b/README.md new file mode 100644 index 0000000..f0113c7 --- /dev/null +++ b/README.md @@ -0,0 +1,85 @@ +--- +base_model: jdh-algo/JoyMed-32B-v1.0 +language: +- en +library_name: transformers +license: apache-2.0 +license_link: https://huggingface.co/jdh-algo/JoyMed-8B-v1.0/resolve/main/LICENSE.txt +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +--- +## About + + + + + + + + + +weighted/imatrix quants of https://huggingface.co/jdh-algo/JoyMed-32B-v1.0 + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#JoyMed-32B-v1.0-i1-GGUF).*** + +static quants are available at https://huggingface.co/mradermacher/JoyMed-32B-v1.0-GGUF +## 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/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ1_S.gguf) | i1-IQ1_S | 7.4 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ1_M.gguf) | i1-IQ1_M | 8.1 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.1 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.1 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ2_S.gguf) | i1-IQ2_S | 10.6 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ2_M.gguf) | i1-IQ2_M | 11.5 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q2_K_S.gguf) | i1-Q2_K_S | 11.6 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 12.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ3_XS.gguf) | i1-IQ3_XS | 13.8 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q3_K_S.gguf) | i1-Q3_K_S | 14.5 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ3_S.gguf) | i1-IQ3_S | 14.5 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ3_M.gguf) | i1-IQ3_M | 15.0 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.1 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q3_K_L.gguf) | i1-Q3_K_L | 17.4 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-IQ4_XS.gguf) | i1-IQ4_XS | 17.8 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q4_0.gguf) | i1-Q4_0 | 18.8 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q4_K_S.gguf) | i1-Q4_K_S | 18.9 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q4_K_M.gguf) | i1-Q4_K_M | 19.9 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q4_1.gguf) | i1-Q4_1 | 20.7 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q5_K_S.gguf) | i1-Q5_K_S | 22.7 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q5_K_M.gguf) | i1-Q5_K_M | 23.3 | | +| [GGUF](https://huggingface.co/mradermacher/JoyMed-32B-v1.0-i1-GGUF/resolve/main/JoyMed-32B-v1.0.i1-Q6_K.gguf) | i1-Q6_K | 27.0 | practically like static Q6_K | + +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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. + +