🧠
Bekko Static V1 Slim 32k model by Flower Computer
⭐ 47.2
🧠
Model

Bekko Static V1 Slim 32k

by Flower Computer flower-computer/bekko-static-v1-slim-32k
Free2AITools Nexus Index
47.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
0.03B Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 47.2 FNI Score
Tiny 0.03B Params
32k Context
0 Downloads
8G GPU ~3GB Est. VRAM
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID flower-computer/bekko-static-v1-slim-32k
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{flower_computer_bekko_static_v1_slim_32k,
  author = {Flower Computer},
  title = {Bekko Static V1 Slim 32k Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/flower-computer/bekko-static-v1-slim-32k}},
  note = {Accessed via Free2AITools.}
}
APA Style
Flower Computer. (2026). Bekko Static V1 Slim 32k [Model]. Free2AITools. https://huggingface.co/flower-computer/bekko-static-v1-slim-32k

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run bekko-static-v1-slim-32k
πŸ€— HF Download
huggingface-cli download flower-computer/bekko-static-v1-slim-32k
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) 33
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Bekko Static V1 Slim 32k: Authority (A:33), Popularity (P:0), 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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⚠️ 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.
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--flower-computer--bekko-static-v1-slim-32k
slug
flower-computer--bekko-static-v1-slim-32k
source
huggingface
author
Flower Computer
license
MIT
tags
sentence-transformers, safetensors, static-embedding, sentence-similarity, feature-extraction, vocabulary-pruning, multilingual, en, ar, de, es, fr, it, ja, ko, no, pt, sr, sv, th, vi, base_model:hotchpotch/bekko-static-embedding-v1, license:mit, endpoints_compatible, region:us

βš™οΈ Technical Specs

params billions
0.03
context length
32,768
pipeline tag
sentence-similarity
vram gb
2.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.