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Open-weight model · Any to any

gemma-4-E4B-it-uncensored-heretic

by LLMfan46 llmfan46/gemma-4-E4B-it-uncensored-heretic

Creating these models takes significant time, work and compute. If you find them useful consider supporting me: Your help will motivate me and would go into further improving my workflow and coverings fees for storage, compute and may even help uncensoring…

Parameters8B
Context131,072
Weights16.0 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads310.6k

Runs On

What it takes to serve gemma-4-E4B-it-uncensored-heretic (8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 16.0 GB 19.2 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 8.0 GB 9.6 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.0 GB 4.8 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.

Model Card

By LLMfan46, published under apache-2.0, revision 446ec370626e.

I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT

I can no longer upload new models unless I can cover the cost of additional storage.
I host 70+ free models as an independent contributor and this work is unpaid.
Without your support, no more new models can be uploaded.

Patreon (Monthly)  |  Ko-fi (One-time)

Every contribution goes directly toward Hugging Face storage fees to keep models free for everyone.

93% fewer refusals (7/100 Uncensored vs 99/100 Original) while preserving model quality (0.0043 KL divergence).

Support My Work

Creating these models takes significant time, work and compute. If you find them useful consider supporting me:

Platform Link What you get
Patreon Monthly support Priority model requests
Ko-fi One-time tip My eternal gratitude

Your help will motivate me and would go into further improving my workflow and coverings fees for storage, compute and may even help uncensoring bigger model with rental Cloud GPUs.

Read the full model card (3,698 words)

Configuration

Architecture
Gemma4ForConditionalGeneration
Context length (tokens)
131,072
Layers
42
Hidden size
2,560
Feed-forward size
10,240
Attention heads
8
Key/value heads
2
Head dimension
256
Vocabulary size
262,144
Sliding window (tokens)
512
Model type
gemma4

Identity and Version

Repository
llmfan46/gemma-4-E4B-it-uncensored-heretic
Publisher
LLMfan46
Task
Any to any
Modality
Multimodal
Library
transformers
Parameters
8B parameters
Languages
ara
Revision
446ec370626e1fda5b6cfb67e2c90152315d3aab
First published
2026-04-05
Last updated
2026-05-04

Files and Weights

9 files, 16.0 GB in total. The weights are 1 file totalling 16.0 GB in safetensors.

Weights1 file · 16.0 GB
Configuration3 files · 7.3 KB
Tokenizer2 files · 32.2 MB
Documentation1 file · 31.7 KB
Other1 file · 16.8 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights16.0 GB 4967172beae9
config.jsonConfiguration5.4 KB —
generation_config.jsonConfiguration217 B —
processor_config.jsonConfiguration1.7 KB —
README.mdDocumentation31.7 KB —
chat_template.jinjaOther16.8 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer32.2 MB a2619fe11b50
tokenizer_config.jsonTokenizer2.8 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
16.0 GB
Download from LLMfan46

Released by LLMfan46 through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published16.0 GB
16-bit16.0 GB
8-bit8.0 GB
4-bit4.0 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Compare gemma-4-E4B-it-uncensored-heretic

Questions About gemma-4-E4B-it-uncensored-heretic

How much GPU memory does gemma-4-E4B-it-uncensored-heretic need?

About 19.2 GB at 16-bit and 4.8 GB at 4-bit: the weights (8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run gemma-4-E4B-it-uncensored-heretic on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use gemma-4-E4B-it-uncensored-heretic commercially?

Yes. gemma-4-E4B-it-uncensored-heretic is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is gemma-4-E4B-it-uncensored-heretic's context length?

131,072 tokens, from the maximum position embeddings in its published configuration.

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