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Eliza 1 2b Gpt55 Scenarios model by elizaos
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Model

Eliza 1 2b Gpt55 Scenarios

by elizaos elizaos/eliza-1-2b-gpt55-scenarios
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 88
Q: Quality 65
Tech Context
2 Params
4.096K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 2B Params
4k Context
0 Downloads
8G GPU ~3GB Est. VRAM
Restricted GEMMA License
Model Information Summary
Entity Passport
Registry ID elizaos/eliza-1-2b-gpt55-scenarios
License Gemma
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elizaos_eliza_1_2b_gpt55_scenarios,
  author = {elizaos},
  title = {Eliza 1 2b Gpt55 Scenarios Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elizaos/eliza-1-2b-gpt55-scenarios}},
  note = {Accessed via Free2AITools.}
}
APA Style
elizaos. (2026). Eliza 1 2b Gpt55 Scenarios [Model]. Free2AITools. https://huggingface.co/elizaos/eliza-1-2b-gpt55-scenarios

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run eliza-1-2b-gpt55-scenarios
πŸ€— HF Download
huggingface-cli download elizaos/eliza-1-2b-gpt55-scenarios

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) 0
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Eliza 1 2b Gpt55 Scenarios: Authority (A:0), Popularity (P:0), Recency (R:88), 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.

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.
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--elizaos--eliza-1-2b-gpt55-scenarios
slug
elizaos--eliza-1-2b-gpt55-scenarios
source
huggingface
author
elizaos
license
Gemma
tags
gguf, eliza-1, elizaos, gemma-4, tool-calling, experimental, base_model:google/gemma-4-e2b, base_model:quantized:google/gemma-4-e2b, license:gemma, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
2
context length
4,096
vram gb
2.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.