From a5c2cd71c7dd21bc30b8204bc4b127bee9040e59 Mon Sep 17 00:00:00 2001 From: Michael Radermacher Date: Sat, 31 Aug 2024 15:05:20 +0000 Subject: [PATCH] auto-patch README.md --- README.md | 71 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 71 insertions(+) diff --git a/README.md b/README.md index bfa700f..a5c70d8 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,77 @@ +--- +base_model: Darkknight535/OpenCrystal-15B-L3-v2 +language: +- en +library_name: transformers +quantized_by: mradermacher +tags: +- not-for-all-audiences +--- +## About + weighted/imatrix quants of https://huggingface.co/Darkknight535/OpenCrystal-15B-L3-v2 + + +static quants are available at https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-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/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ1_S.gguf) | i1-IQ1_S | 3.6 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ1_M.gguf) | i1-IQ1_M | 3.9 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 4.4 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.8 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ2_S.gguf) | i1-IQ2_S | 5.0 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ2_M.gguf) | i1-IQ2_M | 5.4 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q2_K.gguf) | i1-Q2_K | 5.8 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 6.1 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 6.5 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 6.8 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ3_S.gguf) | i1-IQ3_S | 6.8 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ3_M.gguf) | i1-IQ3_M | 7.0 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 7.5 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 8.1 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 8.3 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_0_4_4.gguf) | i1-Q4_0_4_4 | 8.7 | fast on arm, low quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_0_4_8.gguf) | i1-Q4_0_4_8 | 8.7 | fast on arm+i8mm, low quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_0_8_8.gguf) | i1-Q4_0_8_8 | 8.7 | fast on arm+sve, low quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_0.gguf) | i1-Q4_0 | 8.7 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 8.7 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 9.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 10.5 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 10.8 | | +| [GGUF](https://huggingface.co/mradermacher/OpenCrystal-15B-L3-v2-i1-GGUF/resolve/main/OpenCrystal-15B-L3-v2.i1-Q6_K.gguf) | i1-Q6_K | 12.4 | 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. + +