🧠
Busybeaver 50m model by GestaltLabs
⭐ 49.9
🧠
Model

Busybeaver 50m

by GestaltLabs hf-model--gestaltlabs--busybeaver-50m
Nexus Index
49.9 Top 100%
S: Semantic 50
A: Authority 44
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
0.05B Params
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 49.9 FNI Score
Tiny 0.05B Params
- Context
0 Downloads
8G GPU ~2GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID hf-model--gestaltlabs--busybeaver-50m
License Other
Provider huggingface
💾

Compute Threshold

~1.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__gestaltlabs__busybeaver_50m,
  author = {GestaltLabs},
  title = {Busybeaver 50m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/gestaltlabs/busybeaver-50m}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
GestaltLabs. (2026). Busybeaver 50m [Model]. Free2AITools. https://huggingface.co/gestaltlabs/busybeaver-50m

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run busybeaver-50m
🤗 HF Download
huggingface-cli download gestaltlabs/busybeaver-50m
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
49.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 44
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Busybeaver 50m: Semantic (S:50), Authority (A:44), Popularity (P:0), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--gestaltlabs--busybeaver-50m
slug
gestaltlabs--busybeaver-50m
source
huggingface
author
GestaltLabs
license
Other
tags
transformers, safetensors, busybeaver_qdelta, text-generation, busybeaver, tool-calling, agent-policy, json, local-agents, qdelta, 50m, license:other, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
0.05
context length
null
pipeline tag
text-generation
vram gb
1.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.