---
base_model: AEON-7/Gemma-4-12B-it-AEON-Abliterated-K4-BF16
language:
- en
library_name: transformers
license: gemma
model_type: gemma4_unified
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- 12b
- aarch64
- abliterated
- aeon
- aeon-7
- agentic
- arm64
- bf16
- bfloat16
- biprojection
- blackwell
- capability-preserving
- chat
- chunked-prefill
- coding
- conversational
- dense
- dgx-spark
- english
- function-calling
- gb10
- gemma
- gemma-4
- gemma-4-12B
- gemma4
- gemma4_unified
- google
- gpu
- grace-blackwell
- heretic
- instruct
- k4-biprojection
- long-context
- low-drift
- multi-direction-biprojection
- multimodal
- multimodal-capable
- nvidia
- openai-api
- openai-compatible
- prefix-caching
- production-ready
- reasoning
- refusal-removed
- safetensors
- sm_121a
- text-generation
- thinking
- tool-calling
- transformer
- transformers
- trevor-js
- uncensored
- unfiltered
- vision
- vision-language
- vllm
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags:  -->
<!-- ### quants:  x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip:  -->
<!-- ### skip_mmproj: 1 -->
static quants of https://huggingface.co/AEON-7/Gemma-4-12B-it-AEON-Abliterated-K4-BF16

<!-- provided-files -->

***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF).***

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-i1-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/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q2_K.gguf) | Q2_K | 4.9 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q3_K_S.gguf) | Q3_K_S | 5.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q3_K_L.gguf) | Q3_K_L | 6.7 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.IQ4_XS.gguf) | IQ4_XS | 6.8 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q4_K_S.gguf) | Q4_K_S | 7.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q4_K_M.gguf) | Q4_K_M | 7.5 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q5_K_S.gguf) | Q5_K_S | 8.4 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q5_K_M.gguf) | Q5_K_M | 8.6 |  |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q6_K.gguf) | Q6_K | 9.9 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.Q8_0.gguf) | Q8_0 | 12.8 | fast, best quality |

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.

<!-- end -->