commit 69fd710c542fa5acb5ae9786dd79c2041ff4663f Author: ModelHub XC Date: Mon May 18 07:20:16 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/MedSwin-7B-SFT-i1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..67cb505 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,60 @@ +*.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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sha256:e3577725ec420ab8bdd7ff4eb9f5d1dd8640ce09a6158cbfb04bfae46cd17d98 +size 4651700992 diff --git a/MedSwin-7B-SFT.i1-Q6_K.gguf b/MedSwin-7B-SFT.i1-Q6_K.gguf new file mode 100644 index 0000000..6afb30d --- /dev/null +++ b/MedSwin-7B-SFT.i1-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d9e8751b042bcf9c57cd649c025038551a725a68cacc6b6154709dfc9f7d181 +size 5529204000 diff --git a/MedSwin-7B-SFT.imatrix.gguf b/MedSwin-7B-SFT.imatrix.gguf new file mode 100644 index 0000000..f54b069 --- /dev/null +++ b/MedSwin-7B-SFT.imatrix.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9243511fb8cbc484c57d85eeef55258cbd3556ea7761f818a2a6f33d79ce044c +size 4589216 diff --git a/README.md b/README.md new file mode 100644 index 0000000..2fa1075 --- /dev/null +++ b/README.md @@ -0,0 +1,95 @@ +--- +base_model: MedSwin/MedSwin-7B-SFT +datasets: +- qiaojin/PubMedQA +- MedAI-COS30018/PubMedQA-map +- MedAI-COS30018/PubmedQA-u +- MedAI-COS30018/PubMedQA-l +- MedAI-COS30018/HealthCareMagic +- MedAI-COS30018/iCliniq +language: +- en +library_name: transformers +license: apache-2.0 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- medical +- sft +--- +## About + + + + + + + + + +weighted/imatrix quants of https://huggingface.co/MedSwin/MedSwin-7B-SFT + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MedSwin-7B-SFT-i1-GGUF).*** + +static quants are available at https://huggingface.co/mradermacher/MedSwin-7B-SFT-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/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ1_S.gguf) | i1-IQ1_S | 1.6 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ1_M.gguf) | i1-IQ1_M | 1.8 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.0 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.1 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ2_S.gguf) | i1-IQ2_S | 2.3 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.4 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ2_M.gguf) | i1-IQ2_M | 2.5 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q2_K.gguf) | i1-Q2_K | 2.6 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.7 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.9 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ3_S.gguf) | i1-IQ3_S | 3.0 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.0 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ3_M.gguf) | i1-IQ3_M | 3.2 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.4 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.7 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.7 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-IQ4_NL.gguf) | i1-IQ4_NL | 3.9 | prefer IQ4_XS | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q4_0.gguf) | i1-Q4_0 | 3.9 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.0 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q4_1.gguf) | i1-Q4_1 | 4.3 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q5_K_S.gguf) | i1-Q5_K_S | 4.8 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q5_K_M.gguf) | i1-Q5_K_M | 4.9 | | +| [GGUF](https://huggingface.co/mradermacher/MedSwin-7B-SFT-i1-GGUF/resolve/main/MedSwin-7B-SFT.i1-Q6_K.gguf) | i1-Q6_K | 5.6 | 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. + +