diff --git a/README.md b/README.md index 4297bc9..1d539a3 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,62 @@ +--- +base_model: ToastyPigeon/gemma3-27b-v2-glitterlike +language: +- en +library_name: transformers +quantized_by: mradermacher +--- +## About + weighted/imatrix quants of https://huggingface.co/ToastyPigeon/gemma3-27b-v2-glitterlike + + +static quants are available at https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-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/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-IQ1_M.gguf) | i1-IQ1_M | 6.9 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-IQ2_M.gguf) | i1-IQ2_M | 9.6 | | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q2_K_S.gguf) | i1-Q2_K_S | 9.9 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q2_K.gguf) | i1-Q2_K | 10.6 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 10.8 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-IQ3_M.gguf) | i1-IQ3_M | 12.6 | | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q3_K_M.gguf) | i1-Q3_K_M | 13.5 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-IQ4_XS.gguf) | i1-IQ4_XS | 14.9 | | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q4_K_S.gguf) | i1-Q4_K_S | 15.8 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q4_K_M.gguf) | i1-Q4_K_M | 16.6 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/gemma3-27b-v2-glitterlike-i1-GGUF/resolve/main/gemma3-27b-v2-glitterlike.i1-Q6_K.gguf) | i1-Q6_K | 22.3 | 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. + +