From 62d07ca1e6e53e0311ca11667fa0e7d2f2ba5e4b Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Fri, 2 Oct 2026 08:52:18 +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/Ling-lite-base-1.5-i1-GGUF Source: Original Platform --- .gitattributes | 60 +++++++++++++++++++++++ Ling-lite-base-1.5.i1-IQ1_M.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ1_S.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ2_M.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ2_S.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ2_XS.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ2_XXS.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ3_M.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ3_S.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ3_XS.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ3_XXS.gguf | 3 ++ Ling-lite-base-1.5.i1-IQ4_NL.gguf | 3 ++ 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@@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e41ae6a3c12d7149b05d460936f8017a7e9e52de20118d9b08585a4e68bd891 +size 11926444064 diff --git a/Ling-lite-base-1.5.i1-Q6_K.gguf b/Ling-lite-base-1.5.i1-Q6_K.gguf new file mode 100644 index 0000000..7b4c4b5 --- /dev/null +++ b/Ling-lite-base-1.5.i1-Q6_K.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:468056f31b4ce359783390431e0f3ea09197c457c4666f076bd3d200e54bc050 +size 15051569184 diff --git a/README.md b/README.md new file mode 100644 index 0000000..f24ac70 --- /dev/null +++ b/README.md @@ -0,0 +1,76 @@ +--- +base_model: inclusionAI/Ling-lite-base-1.5 +language: +- en +library_name: transformers +license: mit +quantized_by: mradermacher +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/inclusionAI/Ling-lite-base-1.5 + + +static quants are available at https://huggingface.co/mradermacher/Ling-lite-base-1.5-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/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ1_S.gguf) | i1-IQ1_S | 5.5 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ1_M.gguf) | i1-IQ1_M | 5.7 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 6.2 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ2_XS.gguf) | i1-IQ2_XS | 6.5 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ2_S.gguf) | i1-IQ2_S | 6.6 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ2_M.gguf) | i1-IQ2_M | 6.9 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q2_K.gguf) | i1-Q2_K | 7.0 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q2_K_S.gguf) | i1-Q2_K_S | 7.1 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 7.6 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ3_XS.gguf) | i1-IQ3_XS | 7.7 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q3_K_S.gguf) | i1-Q3_K_S | 8.1 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ3_S.gguf) | i1-IQ3_S | 8.1 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ3_M.gguf) | i1-IQ3_M | 8.2 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q3_K_M.gguf) | i1-Q3_K_M | 8.8 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q3_K_L.gguf) | i1-Q3_K_L | 9.2 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ4_XS.gguf) | i1-IQ4_XS | 9.3 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-IQ4_NL.gguf) | i1-IQ4_NL | 9.6 | prefer IQ4_XS | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q4_0.gguf) | i1-Q4_0 | 9.7 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q4_K_S.gguf) | i1-Q4_K_S | 10.3 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q4_1.gguf) | i1-Q4_1 | 10.7 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q4_K_M.gguf) | i1-Q4_K_M | 11.3 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q5_K_S.gguf) | i1-Q5_K_S | 12.0 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q5_K_M.gguf) | i1-Q5_K_M | 12.8 | | +| [GGUF](https://huggingface.co/mradermacher/Ling-lite-base-1.5-i1-GGUF/resolve/main/Ling-lite-base-1.5.i1-Q6_K.gguf) | i1-Q6_K | 15.2 | 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. + + diff --git a/imatrix.dat b/imatrix.dat new file mode 100644 index 0000000..9d7b2ab --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b3d4076b07b9a69c5f05aacebffaf9fc6bc46a938d286938759f595571820a05 +size 41384933