commit 6a2cb751736cc1c804995bf07e07e940d5f99527 Author: ModelHub XC Date: Tue Apr 14 17:26:00 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/InternVL2_5-1B-i1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..53d7257 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,47 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 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 +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text 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this model](https://hf.tst.eu/model#InternVL2_5-1B-i1-GGUF).*** + +static quants are available at https://huggingface.co/mradermacher/InternVL2_5-1B-GGUF + +**This is a vision model - mmproj files (if any) will be under files** +## 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://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.5 | | +| [GGUF](https://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.5 | | +| [GGUF](https://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.5 | | +| [GGUF](https://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.6 | fast, recommended | +| [GGUF](https://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 0.6 | | +| [GGUF](https://www.modelscope.cn/models/mradermacher/InternVL2_5-1B-i1-GGUF/resolve/master/InternVL2_5-1B.i1-Q6_K.gguf) | i1-Q6_K | 0.7 | 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. + + +