🧠
Gpt2 Xl model by Openai Community
⭐ 36.6
🧠
Model

Gpt2 Xl

by Openai Community openai-community/gpt2-xl
Free2AITools Nexus Index
36.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 63
R: Recency 15
Q: Quality 65
Tech Context
1.61 Params
1.024K Ctx
Vital Performance
310.6K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 36.6 FNI Score
Tiny 1.61B Params
1k Context
Hot 310.6K Downloads
8G GPU ~3GB Est. VRAM
Dense GPT2LMHEADMODEL Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID openai-community/gpt2-xl
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{openai_community_gpt2_xl,
  author = {Openai Community},
  title = {Gpt2 Xl Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/openai-community/gpt2-xl}},
  note = {Accessed via Free2AITools.}
}
APA Style
Openai Community. (2022). Gpt2 Xl [Model]. Free2AITools. https://huggingface.co/openai-community/gpt2-xl

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gpt2-xl
πŸ€— HF Download
huggingface-cli download openai-community/gpt2-xl
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) 63
Recency (R) 15
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gpt2 Xl: Authority (A:56), Popularity (P:63), 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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πŸš€ What's Next?

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Deployment reference

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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
310.6KDownloads
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--openai-community--gpt2-xl
slug
openai-community--gpt2-xl
source
huggingface
author
Openai Community
license
MIT
tags
gpt, nullB, text-generation, transformers, pytorch, tf, jax, rust, safetensors, gpt2, en, arxiv:1910.09700, license:mit, text-generation-inference, endpoints_compatible, deploy:azure, region:us, deploy:sagemaker

βš™οΈ Technical Specs

architecture
GPT2LMHeadModel
params billions
1.61
context length
1,024
pipeline tag
text-generation
vram gb
2.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
310,596
stars
0
forks
0

Data indexed from public sources. Updated daily.