From 64a45848f7b0184cb9f31cbdd581e2cb0193e024 Mon Sep 17 00:00:00 2001 From: Michael Radermacher Date: Tue, 4 Jun 2024 05:48:29 +0000 Subject: [PATCH] auto-patch README.md --- README.md | 71 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 71 insertions(+) diff --git a/README.md b/README.md index d7a5f0e..92e6477 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,77 @@ +--- +base_model: chargoddard/piano-medley-7b +datasets: +- pankajmathur/orca_mini_v1_dataset +- openai/summarize_from_feedback +- PygmalionAI/PIPPA +- chargoddard/rpguild +- lemonilia/LimaRP +- PKU-Alignment/PKU-SafeRLHF +- Intel/orca_dpo_pairs +- allenai/ultrafeedback_binarized_cleaned +language: +- en +library_name: transformers +license: cc-by-nc-4.0 +quantized_by: mradermacher +tags: +- merge +- mergekit +--- +## About + weighted/imatrix quants of https://huggingface.co/chargoddard/piano-medley-7b + + +static quants are available at https://huggingface.co/mradermacher/piano-medley-7b-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/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 | | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.0 | | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q4_0.gguf) | i1-Q4_0 | 4.2 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.2 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.5 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.1 | | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.2 | | +| [GGUF](https://huggingface.co/mradermacher/piano-medley-7b-i1-GGUF/resolve/main/piano-medley-7b.i1-Q6_K.gguf) | i1-Q6_K | 6.0 | 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 hardware for calculating the imatrix for these quants. + +