🧠
Gpt Sw3 1.3b model by Ai Sweden Models
⭐ 54.5
🧠
Model

Gpt Sw3 1.3b

by Ai Sweden Models ai-sweden-models/gpt-sw3-1.3b
Free2AITools Nexus Index
54.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 42
P: Popularity 33
R: Recency 100
Q: Quality 65
Tech Context
1.44 Params
1.024K Ctx
Vital Performance
2.4K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 54.5 FNI Score
Tiny 1.44B Params
1k Context
2.4K Downloads
8G GPU ~3GB Est. VRAM
Dense GPT2LMHEADMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ai-sweden-models/gpt-sw3-1.3b
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{ai_sweden_models_gpt_sw3_1_3b,
  author = {Ai Sweden Models},
  title = {Gpt Sw3 1.3b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ai Sweden Models. (2026). Gpt Sw3 1.3b [Model]. Free2AITools. https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run gpt-sw3-1.3b
πŸ€— HF Download
huggingface-cli download ai-sweden-models/gpt-sw3-1.3b
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) 42
Popularity (P) 33
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Gpt Sw3 1.3b: Authority (A:42), Popularity (P:33), 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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πŸš€ What's Next?

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
2.4KDownloads
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--ai-sweden-models--gpt-sw3-1.3b
slug
ai-sweden-models--gpt-sw3-1.3b
source
huggingface
author
Ai Sweden Models
license
Apache-2.0
tags
transformers, pytorch, safetensors, gpt2, text-generation, da, sv, no, en, is, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
GPT2LMHeadModel
params billions
1.44
context length
1,024
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
2,440
stars
null
forks
null

Data indexed from public sources. Updated daily.