🧠
Gemma 3 1b It model by google
⭐ 35
🧠
Model

Gemma 3 1b It

by google hf-model--google--gemma-3-1b-it
Nexus Index
35.0 Top 0%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
1 Params
4.096K Ctx
Vital Performance
2.4M DL / 30D
0.0%
Source →
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
💾

Compute Threshold

~2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

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

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run gemma-3-1b-it
🤗 HF Download
huggingface-cli download google/gemma-3-1b-it
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V16.5

Methodology Index Protocol
35.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

đŸ’Ŧ Index Insight

The Free2AITools Nexus Index for Gemma 3 1b It aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

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

Social Proof

HuggingFace Hub
742Likes
2.4MDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 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

⚙ī¸ 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 ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

likes
742
downloads
2,386,978

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