From 6fc1d238ac6f5f4e21d1ce0e4d573b3466b94100 Mon Sep 17 00:00:00 2001 From: Michael Radermacher Date: Thu, 7 Nov 2024 08:27:13 +0000 Subject: [PATCH] auto-patch README.md --- README.md | 70 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 70 insertions(+) diff --git a/README.md b/README.md index df196b4..3d171c5 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,76 @@ +--- +base_model: aloobun/Reyna-Mini-1.8B-v0.2 +datasets: +- Locutusque/Hercules-v3.0 +language: +- en +library_name: transformers +license: other +license_link: https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat/raw/main/LICENSE +license_name: tongyi-qianwen-research +quantized_by: mradermacher +tags: +- chatml +- finetune +- gpt4 +- synthetic data +- custom_code +- qwen2 +--- +## About + static quants of https://huggingface.co/aloobun/Reyna-Mini-1.8B-v0.2 + + +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/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q2_K.gguf) | Q2_K | 0.9 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q3_K_S.gguf) | Q3_K_S | 1.1 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q3_K_M.gguf) | Q3_K_M | 1.1 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q3_K_L.gguf) | Q3_K_L | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.IQ4_XS.gguf) | IQ4_XS | 1.2 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q4_0_4_4.gguf) | Q4_0_4_4 | 1.2 | fast on arm, low quality | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q4_K_S.gguf) | Q4_K_S | 1.3 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q4_K_M.gguf) | Q4_K_M | 1.3 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q5_K_S.gguf) | Q5_K_S | 1.4 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q5_K_M.gguf) | Q5_K_M | 1.5 | | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q6_K.gguf) | Q6_K | 1.7 | very good quality | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.Q8_0.gguf) | Q8_0 | 2.1 | fast, best quality | +| [GGUF](https://huggingface.co/mradermacher/Reyna-Mini-1.8B-v0.2-GGUF/resolve/main/Reyna-Mini-1.8B-v0.2.f16.gguf) | f16 | 3.8 | 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. + +