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Gemma 2b It Noised Np0.1 Attn Emb Uniform S40 model by eekay
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Model

Gemma 2b It Noised Np0.1 Attn Emb Uniform S40

by eekay eekay/gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 84
Q: Quality 65
Tech Context
2.51 Params
8.192K Ctx
Vital Performance
11 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 2.51B Params
8k Context
11 Downloads
8G GPU ~4GB Est. VRAM
Dense GEMMAFORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID eekay/gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eekay_gemma_2b_it_noised_np0_1_attn_emb_uniform_s40,
  author = {eekay},
  title = {Gemma 2b It Noised Np0.1 Attn Emb Uniform S40 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/eekay/gemma-2b-it-noised-np0.1-attn-emb-uniform-s40}},
  note = {Accessed via Free2AITools.}
}
APA Style
eekay. (2026). Gemma 2b It Noised Np0.1 Attn Emb Uniform S40 [Model]. Free2AITools. https://huggingface.co/eekay/gemma-2b-it-noised-np0.1-attn-emb-uniform-s40

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
πŸ€— HF Download
huggingface-cli download eekay/gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
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) 84
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gemma 2b It Noised Np0.1 Attn Emb Uniform S40: Authority (A:0), Popularity (P:1), Recency (R:84), 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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⚠️ 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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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
11Downloads
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--eekay--gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
slug
eekay--gemma-2b-it-noised-np0.1-attn-emb-uniform-s40
source
huggingface
author
eekay
tags
transformers, safetensors, gemma, text-generation, conversational, arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
GemmaForCausalLM
params billions
2.51
context length
8,192
pipeline tag
text-generation
vram gb
3.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11

Data indexed from public sources. Updated daily.