mradermacher/Gemma-4-The-Deckards-Brain-31B-GGUF

About

static quants of https://huggingface.co/kabachuha/Gemma-4-The-Deckards-Brain-31B

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-4-The-Deckards-Brain-31B-i1-GGUF

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.

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

|:-----|:-----|--------:|:------|

| GGUF | Q2_K | 12.0 | |

| GGUF | Q3_K_S | 13.9 | |

| GGUF | Q3_K_M | 15.4 | lower quality |

| GGUF | Q3_K_L | 16.7 | |

| GGUF | Q4_K_S | 17.9 | fast, recommended |

| GGUF | Q4_K_M | 18.8 | fast, recommended |

| GGUF | Q5_K_S | 21.4 | |

| GGUF | Q5_K_M | 21.9 | |

| GGUF | Q6_K | 25.3 | very good quality |

| GGUF | Q8_0 | 32.7 | fast, best quality |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time.