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Gpt Neo 1.3b model by EleutherAI
⭐ 37
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Model

Gpt Neo 1.3b

by EleutherAI eleutherai/gpt-neo-1.3b
Free2AITools Nexus Index
37.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 54
R: Recency 15
Q: Quality 65
Tech Context
1.37 Params
4.096K Ctx
Vital Performance
48.3K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37 FNI Score
Tiny 1.37B Params
4k Context
48.3K Downloads
8G GPU ~3GB Est. VRAM
Dense GPTNEOFORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID eleutherai/gpt-neo-1.3b
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eleutherai_gpt_neo_1_3b,
  author = {EleutherAI},
  title = {Gpt Neo 1.3b Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/EleutherAI/gpt-neo-1.3B}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. (2022). Gpt Neo 1.3b [Model]. Free2AITools. https://huggingface.co/EleutherAI/gpt-neo-1.3B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gpt-neo-1.3b
πŸ€— HF Download
huggingface-cli download eleutherai/gpt-neo-1.3b
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) 56
Popularity (P) 54
Recency (R) 15
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gpt Neo 1.3b: Authority (A:56), Popularity (P:54), Recency (R:15), 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.

Social Proof

HuggingFace Hub
48.3KDownloads
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--eleutherai--gpt-neo-1.3b
slug
eleutherai--gpt-neo-1.3b
source
huggingface
author
EleutherAI
license
MIT
tags
gpt, 1.3B, text-generation, transformers, pytorch, jax, rust, safetensors, gpt_neo, text generation, causal-lm, en, dataset:eleutherai/pile, arxiv:2101.00027, license:mit, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
GPTNeoForCausalLM
params billions
1.37
context length
4,096
pipeline tag
text-generation
vram gb
2.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
48,263
stars
0
forks
0

Data indexed from public sources. Updated daily.