--- 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: - gemma4 - gemma - google - gemma-4-12B - dense - transformer - 12b - multimodal-capable - uncensored - abliterated - unfiltered - refusal-removed - biprojection - multi-direction-biprojection - k4-biprojection - aeon - aeon-7 - trevor-js - heretic - text-generation - chat - instruct - reasoning - coding - tool-calling - function-calling - agentic - bf16 - bfloat16 - safetensors - dgx-spark - blackwell - gb10 - grace-blackwell - nvidia - gpu - arm64 - aarch64 - transformers - vllm - openai-api - openai-compatible - low-drift - capability-preserving - prefix-caching - chunked-prefill - english - production-ready --- ## About weighted/imatrix quants of https://huggingface.co/AEON-7/Gemma-4-12B-it-AEON-Abliterated-K4-BF16 ***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-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Gemma-4-12B-it-AEON-Abliterated-K4-BF16-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-i1-GGUF/resolve/main/Gemma-4-12B-it-AEON-Abliterated-K4-BF16.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | 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.