From 079b8066530fb7ba2784f89e19789949704af89c Mon Sep 17 00:00:00 2001 From: team mradermacher Date: Fri, 19 Sep 2025 15:59:47 +0000 Subject: [PATCH] auto-patch README.md --- README.md | 61 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) diff --git a/README.md b/README.md index d786c1f..42de623 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,14 @@ +--- +base_model: liushiliushi/ConfTuner-Qwen +language: +- en +library_name: transformers +mradermacher: + readme_rev: 1 +quantized_by: mradermacher +--- +## About + @@ -7,3 +18,53 @@ static quants of https://huggingface.co/liushiliushi/ConfTuner-Qwen + + + +***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ConfTuner-Qwen-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/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q2_K.gguf) | Q2_K | 3.1 | | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q3_K_S.gguf) | Q3_K_S | 3.6 | | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q3_K_L.gguf) | Q3_K_L | 4.2 | | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q5_K_S.gguf) | Q5_K_S | 5.4 | | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q5_K_M.gguf) | Q5_K_M | 5.5 | | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q6_K.gguf) | Q6_K | 6.4 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/ConfTuner-Qwen-GGUF/resolve/main/ConfTuner-Qwen.f16.gguf) | f16 | 15.3 | 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. + +