🧠

Model

Gemma 4 E4b It Qat Heretic Decensored Gguf

Name: Gemma 4 E4b It Qat Heretic Decensored Gguf
Author: mradermacher

by mradermacher mradermacher/gemma-4-e4b-it-qat-heretic_decensored-gguf

Free2AITools Nexus Index

39.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29

P: Popularity 27

R: Recency 100

Q: Quality 65

Tech Context

4 Params

4.096K Ctx

Vital Performance

1.1K DL / 30D

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 39 FNI Score

4B Params

4k Context

1.1K Downloads

8G GPU ~5GB Est. VRAM

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	mradermacher/gemma-4-e4b-it-qat-heretic_decensored-gguf
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~4.3GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{mradermacher_gemma_4_e4b_it_qat_heretic_decensored_gguf,
  author = {mradermacher},
  title = {Gemma 4 E4b It Qat Heretic Decensored Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/gemma-4-E4B-it-qat-heretic_decensored-GGUF}},
  note = {Accessed via Free2AITools.}
}

APA Style

mradermacher. (2026). Gemma 4 E4b It Qat Heretic Decensored Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/gemma-4-E4B-it-qat-heretic_decensored-GGUF

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run gemma-4-e4b-it-qat-heretic_decensored-gguf

🤗 HF Download

huggingface-cli download mradermacher/gemma-4-e4b-it-qat-heretic_decensored-gguf

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29

Popularity (P) 27

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Gemma 4 E4b It Qat Heretic Decensored Gguf: Authority (A:29), Popularity (P:27), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub

1.1KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--mradermacher--gemma-4-e4b-it-qat-heretic_decensored-gguf
slug: mradermacher--gemma-4-e4b-it-qat-heretic_decensored-gguf
source: huggingface
author: mradermacher
license: Apache-2.0
tags: transformers, gguf, text-generation-inference, pytorch, decensored, abliterated, unfiltered, unredacted, heretic, en, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙️ Technical Specs

params billions: 4
context length: 4,096
vram gb: 4.3
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 1,124

Data indexed from public sources. Updated daily.