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Gemma 4 19b A4b It Reap I1 Gguf model by mradermacher
⭐ 57.4
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Model

Gemma 4 19b A4b It Reap I1 Gguf

by mradermacher mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf
Free2AITools Nexus Index
57.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 44
R: Recency 98
Q: Quality 65
Tech Context
19 Params
4.096K Ctx
Vital Performance
10.3K DL / 30D
Source β†’
Low FNI signal 57.4 FNI Score
19B Params
4k Context
10.3K Downloads
24G GPU ~16GB Est. VRAM
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~15.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_gemma_4_19b_a4b_it_reap_i1_gguf,
  author = {mradermacher},
  title = {Gemma 4 19b A4b It Reap I1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/gemma-4-19b-a4b-it-REAP-i1-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Gemma 4 19b A4b It Reap I1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/gemma-4-19b-a4b-it-REAP-i1-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-4-19b-a4b-it-reap-i1-gguf
πŸ€— HF Download
huggingface-cli download mradermacher/gemma-4-19b-a4b-it-reap-i1-gguf
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 44
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 4 19b A4b It Reap I1 Gguf: Authority (A:47), Popularity (P:44), Recency (R:98), 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.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
10.3KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--mradermacher--gemma-4-19b-a4b-it-reap-i1-gguf
slug
mradermacher--gemma-4-19b-a4b-it-reap-i1-gguf
source
huggingface
author
mradermacher
license
Gemma
tags
transformers, gguf, cerebras, expert-pruning, gemma, gemma4, moe, pruning, reap, safetensors, en, base_model:0xsero/gemma-4-19b, base_model:quantized:0xsero/gemma-4-19b, license:gemma, endpoints_compatible, region:us, imatrix, conversational

βš™οΈ Technical Specs

architecture
null
params billions
19
context length
4,096
pipeline tag
vram gb
15.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
10,332
stars
null
forks
null

Data indexed from public sources. Updated daily.