---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/gemma-4-E2B-it-Uncensored-MAX
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- text-generation-inference
- moe
- uncensored
- abliterated
- unfiltered
- unredacted
- refusal-ablated
- vllm
- pytorch
- bf16
- max
- alignment-modified
- reasoning
- llama.cpp
- agent
---

# **gemma-4-E2B-it-Uncensored-MAX-GGUF**

> gemma-4-E2B-it-Uncensored-MAX is an uncensored evolution built on top of google/gemma-4-E2B-it. This model applies advanced refusal direction analysis and abliteration-based training strategies to significantly reduce internal refusal behaviors while preserving the reasoning and instruction-following strengths of the original architecture. The result is a powerful E2B parameter language model optimized for detailed responses and improved instruction adherence.

## Model Files

   File Name | Quant Type | File Size | File Link |
 | - | - | - | - |
 | gemma-4-E2B-it-Uncensored-MAX.BF16.gguf | BF16 | 9.31 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.BF16.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.F16.gguf | F16 | 9.31 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.F16.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.F32.gguf | F32 | 18.6 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.F32.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.Q8_0.gguf | Q8_0 | 4.95 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.Q8_0.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.mmproj-bf16.gguf | mmproj-bf16 | 987 MB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.mmproj-bf16.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.mmproj-f16.gguf | mmproj-f16 | 987 MB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.mmproj-f16.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.mmproj-f32.gguf | mmproj-f32 | 1.9 GB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.mmproj-f32.gguf) |
 | gemma-4-E2B-it-Uncensored-MAX.mmproj-q8_0.gguf | mmproj-q8_0 | 557 MB | [Download](https://huggingface.co/prithivMLmods/gemma-4-E2B-it-Uncensored-MAX-GGUF/blob/main/gemma-4-E2B-it-Uncensored-MAX.mmproj-q8_0.gguf) |

## Quants Usage 

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