🧠
Shamrock 0 E2b model by Oxalis Ink
⭐ 40.7
🧠
Model

Shamrock 0 E2b

by Oxalis Ink oxalis-ink/shamrock-0-e2b
Free2AITools Nexus Index
40.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 26
R: Recency 100
Q: Quality 65
Tech Context
5.1 Params
8.192K Ctx
Vital Performance
985 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.7 FNI Score
5.1B Params
8k Context
985 Downloads
8G GPU ~6GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID oxalis-ink/shamrock-0-e2b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{oxalis_ink_shamrock_0_e2b,
  author = {Oxalis Ink},
  title = {Shamrock 0 E2b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/oxalis-ink/shamrock-0-e2b}},
  note = {Accessed via Free2AITools.}
}
APA Style
Oxalis Ink. (2026). Shamrock 0 E2b [Model]. Free2AITools. https://huggingface.co/oxalis-ink/shamrock-0-e2b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run shamrock-0-e2b
πŸ€— HF Download
huggingface-cli download oxalis-ink/shamrock-0-e2b
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) 26
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Shamrock 0 E2b: Authority (A:0), Popularity (P:26), 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
985Downloads
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--oxalis-ink--shamrock-0-e2b
slug
oxalis-ink--shamrock-0-e2b
source
huggingface
author
Oxalis Ink
license
Apache-2.0
tags
transformers, safetensors, gguf, gemma4, image-text-to-text, gemma, google, translation, japanese, korean, chinese, text-generation, conversational, base_model:google/gemma-4-e2b-it, base_model:quantized:google/gemma-4-e2b-it, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
5.1
context length
8,192
pipeline tag
text-generation
vram gb
5.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
985

Data indexed from public sources. Updated daily.