From c508eb16bd2e430637c9771035e636e6de4e96fa Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 14 Sep 2026 12:06:30 +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/kernel-coder-1.5b-GGUF Source: Original Platform --- .gitattributes | 47 +++++++++++++++++++++ README.md | 77 +++++++++++++++++++++++++++++++++++ kernel-coder-1.5b.IQ4_XS.gguf | 3 ++ kernel-coder-1.5b.Q2_K.gguf | 3 ++ kernel-coder-1.5b.Q3_K_L.gguf | 3 ++ kernel-coder-1.5b.Q3_K_M.gguf | 3 ++ kernel-coder-1.5b.Q3_K_S.gguf | 3 ++ kernel-coder-1.5b.Q4_K_M.gguf | 3 ++ kernel-coder-1.5b.Q4_K_S.gguf | 3 ++ kernel-coder-1.5b.Q5_K_M.gguf | 3 ++ kernel-coder-1.5b.Q5_K_S.gguf | 3 ++ kernel-coder-1.5b.Q6_K.gguf | 3 ++ kernel-coder-1.5b.Q8_0.gguf | 3 ++ kernel-coder-1.5b.f16.gguf | 3 ++ 14 files changed, 160 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 kernel-coder-1.5b.IQ4_XS.gguf create mode 100644 kernel-coder-1.5b.Q2_K.gguf create mode 100644 kernel-coder-1.5b.Q3_K_L.gguf create mode 100644 kernel-coder-1.5b.Q3_K_M.gguf create mode 100644 kernel-coder-1.5b.Q3_K_S.gguf create mode 100644 kernel-coder-1.5b.Q4_K_M.gguf create mode 100644 kernel-coder-1.5b.Q4_K_S.gguf create mode 100644 kernel-coder-1.5b.Q5_K_M.gguf create mode 100644 kernel-coder-1.5b.Q5_K_S.gguf create mode 100644 kernel-coder-1.5b.Q6_K.gguf create mode 100644 kernel-coder-1.5b.Q8_0.gguf create mode 100644 kernel-coder-1.5b.f16.gguf diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..1fde85c --- /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 +*.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 +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +kernel-coder-1.5b.f16.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..cf40e12 --- /dev/null +++ b/README.md @@ -0,0 +1,77 @@ +--- +base_model: nethunter2023/kernel-coder-1.5b +language: +- en +library_name: transformers +license: apache-2.0 +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +tags: +- code +- c +- linux-kernel +- python +--- +## About + + + + + + + + + +static quants of https://huggingface.co/nethunter2023/kernel-coder-1.5b + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#kernel-coder-1.5b-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/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q2_K.gguf) | Q2_K | 0.8 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q3_K_S.gguf) | Q3_K_S | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q3_K_L.gguf) | Q3_K_L | 1.0 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.IQ4_XS.gguf) | IQ4_XS | 1.0 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q5_K_S.gguf) | Q5_K_S | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q5_K_M.gguf) | Q5_K_M | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q6_K.gguf) | Q6_K | 1.4 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/kernel-coder-1.5b-GGUF/resolve/main/kernel-coder-1.5b.f16.gguf) | f16 | 3.2 | 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. + + diff --git a/kernel-coder-1.5b.IQ4_XS.gguf b/kernel-coder-1.5b.IQ4_XS.gguf new file mode 100644 index 0000000..c182f18 --- /dev/null +++ b/kernel-coder-1.5b.IQ4_XS.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b06777405d33f22a6d03450d971c778299fe5eb5e51133cd401ba495ff410fc +size 902183328 diff --git a/kernel-coder-1.5b.Q2_K.gguf b/kernel-coder-1.5b.Q2_K.gguf new file mode 100644 index 0000000..e0b5751 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