🧠
Racka 4b model by Elte Nlp
⭐ 54.5
🧠
Model

Racka 4b

by Elte Nlp elte-nlp/racka-4b
Free2AITools Nexus Index
54.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 47
P: Popularity 25
R: Recency 98
Q: Quality 65
Tech Context
4.02 Params
32.768K Ctx
Vital Performance
854 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 54.5 FNI Score
4.02B Params
32k Context
854 Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID elte-nlp/racka-4b
License CC-BY-NC-SA-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elte_nlp_racka_4b,
  author = {Elte Nlp},
  title = {Racka 4b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elte-nlp/Racka-4B}},
  note = {Accessed via Free2AITools.}
}
APA Style
Elte Nlp. (2026). Racka 4b [Model]. Free2AITools. https://huggingface.co/elte-nlp/Racka-4B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run racka-4b
πŸ€— HF Download
huggingface-cli download elte-nlp/racka-4b

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 47
Popularity (P) 25
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Racka 4b: Authority (A:47), Popularity (P:25), Recency (R:98), 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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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
854Downloads
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--elte-nlp--racka-4b
slug
elte-nlp--racka-4b
source
huggingface
author
Elte Nlp
license
CC-BY-NC-SA-4.0
tags
safetensors, qwen3, text-generation, conversational, hu, de, en, base_model:qwen/qwen3-4b, base_model:finetune:qwen/qwen3-4b, license:cc-by-nc-sa-4.0, model-index, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
4.02
context length
32,768
pipeline tag
text-generation
vram gb
5.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
854
stars
null
forks
null

Data indexed from public sources. Updated daily.