🧠
Translategemma 27b It Nvfp4 model by ShinePixelOrg
⭐ 39.1
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Model

Translategemma 27b It Nvfp4

by ShinePixelOrg shinepixelorg/translategemma-27b-it-nvfp4
Free2AITools Nexus Index
39.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 100
Q: Quality 65
Tech Context
16.23 Params
8.192K Ctx
Vital Performance
4 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.1 FNI Score
16.23B Params
8k Context
4 Downloads
24G GPU ~14GB Est. VRAM
Dense GEMMA3FORCONDITIONALGENERATION Architecture
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID shinepixelorg/translategemma-27b-it-nvfp4
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~13.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{shinepixelorg_translategemma_27b_it_nvfp4,
  author = {ShinePixelOrg},
  title = {Translategemma 27b It Nvfp4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ShinePixelOrg/translategemma-27b-it-NVFP4}},
  note = {Accessed via Free2AITools.}
}
APA Style
ShinePixelOrg. (2026). Translategemma 27b It Nvfp4 [Model]. Free2AITools. https://huggingface.co/ShinePixelOrg/translategemma-27b-it-NVFP4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run translategemma-27b-it-nvfp4
πŸ€— HF Download
huggingface-cli download shinepixelorg/translategemma-27b-it-nvfp4
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) 0
Popularity (P) 1
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Translategemma 27b It Nvfp4: Authority (A:0), Popularity (P:1), 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.

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.

Social Proof

HuggingFace Hub
4Downloads
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--shinepixelorg--translategemma-27b-it-nvfp4
slug
shinepixelorg--translategemma-27b-it-nvfp4
source
huggingface
author
ShinePixelOrg
license
Gemma
tags
transformers, safetensors, gemma3, image-text-to-text, translation, nvfp4, quantized, compressed-tensors, conversational, arxiv:2601.09012, base_model:google/translategemma-27b-it, base_model:quantized:google/translategemma-27b-it, license:gemma, text-generation-inference, endpoints_compatible, 8-bit, region:us

βš™οΈ Technical Specs

architecture
Gemma3ForConditionalGeneration
params billions
16.23
context length
8,192
pipeline tag
image-text-to-text
vram gb
13.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4

Data indexed from public sources. Updated daily.