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Gemma 3 1b It model by google
⭐ 35
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Model

Gemma 3 1b It

by google ID: hf-model--google--gemma-3-1b-it
Scale 1
Context Window 4.096K
Downloads 2.4M
FNI Rank 35
Percentile Top 0%
Activity
β†’ 0.0%
View Source Code β†’
Audited 35 FNI Score
Tiny 1B Params
4k Context
Hot 2.4M Downloads
8G GPU ~2GB Est. VRAM
Dense GEMMA3FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--google--gemma-3-1b-it
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Analyze Hardware
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__google__gemma_3_1b_it,
  author = {google},
  title = {Gemma 3 1b It Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/google/gemma-3-1b-it}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
google. (2026). Gemma 3 1b It [Model]. Free2AITools. https://huggingface.co/google/gemma-3-1b-it

πŸ”¬Technical Deep Dive

Full Specifications [+]

⚑ Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-3-1b-it
πŸ€— HF Download
huggingface-cli download google/gemma-3-1b-it
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AI Nexus Index

Methodology β†’ πŸ“˜ What is FNI?
35.0
Top 0% Overall Impact
πŸ”₯ Popularity (P) 0
πŸš€ Velocity (V) 0
πŸ›‘οΈ Credibility (C) 0
πŸ”§ Utility (U) 0
Nexus Verified Data

πŸ’¬ Why this score?

The Nexus Index for Gemma 3 1b It aggregates Popularity (P:0), Velocity (V:0), and Credibility (C:0). The Utility score (U:0) represents deployment readiness, context efficiency, and structural reliability within the Nexus ecosystem.

πŸ”— Source Links (Click to verify)

πŸ“Š P: HuggingFace Stats πŸ“ˆ V: 7-Day Delta πŸ“„ C: Papers With Code πŸ”§ U: Deploy Score
Data Verified πŸ• Last Updated: Not calculated
Free2AI Nexus Index | Fair Β· Transparent Β· Explainable | Full Methodology
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πŸš€ What's Next?

πŸ“Š

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πŸ“ˆ

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Deployment Guide

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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.
  • β€’ Source: Unknown
Top Tier

Social Proof

HuggingFace Hub
742Likes
2.4MDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Daily sync (03:00 UTC)

AI 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

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

πŸ†” Identity & Source

id
hf-model--google--gemma-3-1b-it
source
huggingface
author
google
tags
transformerssafetensorsgemma3_texttext-generationconversationalarxiv:1905.07830arxiv:1905.10044arxiv:1911.11641arxiv:1904.09728arxiv:1705.03551arxiv:1911.01547arxiv:1907.10641arxiv:1903.00161arxiv:2009.03300arxiv:2304.06364arxiv:2103.03874arxiv:2110.14168arxiv:2311.12022arxiv:2108.07732arxiv:2107.03374arxiv:2210.03057arxiv:2106.03193arxiv:1910.11856arxiv:2502.12404arxiv:2502.21228arxiv:2404.16816arxiv:2104.12756arxiv:2311.16502arxiv:2203.10244arxiv:2404.12390arxiv:1810.12440arxiv:1908.02660arxiv:2312.11805base_model:google/gemma-3-1b-ptbase_model:finetune:google/gemma-3-1b-ptlicense:gemmatext-generation-inferenceendpoints_compatibleregion:us

βš™οΈ Technical Specs

architecture
Gemma3ForCausalLM
params billions
1
context length
4,096
pipeline tag
text-generation
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

likes
742
downloads
2,386,978

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)