🧠
Polyglot Ko 1.3b model by EleutherAI
⭐ 31.9
🧠
Model

Polyglot Ko 1.3b

by EleutherAI eleutherai/polyglot-ko-1.3b
Free2AITools Nexus Index
31.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 42
R: Recency 9
Q: Quality 65
Tech Context
1.43 Params
2.048K Ctx
Vital Performance
7.3K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 31.9 FNI Score
Tiny 1.43B Params
2k Context
7.3K Downloads
8G GPU ~3GB Est. VRAM
Dense GPTNEOXFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID eleutherai/polyglot-ko-1.3b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eleutherai_polyglot_ko_1_3b,
  author = {EleutherAI},
  title = {Polyglot Ko 1.3b Model},
  year = {2022},
  howpublished = {\url{https://huggingface.co/EleutherAI/polyglot-ko-1.3b}},
  note = {Accessed via Free2AITools.}
}
APA Style
EleutherAI. (2022). Polyglot Ko 1.3b [Model]. Free2AITools. https://huggingface.co/EleutherAI/polyglot-ko-1.3b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run polyglot-ko-1.3b
πŸ€— HF Download
huggingface-cli download eleutherai/polyglot-ko-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) 53
Popularity (P) 42
Recency (R) 9
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Polyglot Ko 1.3b: Authority (A:53), Popularity (P:42), Recency (R:9), 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.

Social Proof

HuggingFace Hub
7.3KDownloads
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--polyglot-ko-1.3b
slug
eleutherai--polyglot-ko-1.3b
source
huggingface
author
EleutherAI
license
Apache-2.0
tags
transformers, pytorch, safetensors, gpt_neox, text-generation, causal-lm, ko, arxiv:2104.09864, arxiv:2204.04541, arxiv:2306.02254, license:apache-2.0, text-generation-inference, endpoints_compatible, deploy:azure, region:us

βš™οΈ Technical Specs

architecture
GPTNeoXForCausalLM
params billions
1.43
context length
2,048
pipeline tag
text-generation
vram gb
2.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
7,336
stars
0
forks
0

Data indexed from public sources. Updated daily.