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Monkegpt Vivace dataset by aaravriyer193
⭐ 30.8
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Dataset

Monkegpt Vivace

by aaravriyer193 aaravriyer193/monkegpt-vivace
Free2AITools Nexus Index
30.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 31
Q: Quality 65
Tech Context
Vital Performance —
Source β†’
Data Integrity 30.8 FNI Score
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- Rows
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Dataset Information Summary
Entity Passport
Registry ID aaravriyer193/monkegpt-vivace
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_aaravriyer193_monkegpt_vivace,
  author = {aaravriyer193},
  title = {Monkegpt Vivace Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/aaravriyer193/MonkeGpt-Vivace}},
  note = {Accessed via Free2AITools.}
}
APA Style
aaravriyer193. (2026). Monkegpt Vivace [Dataset]. Free2AITools. https://huggingface.co/aaravriyer193/MonkeGpt-Vivace

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 31
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Monkegpt Vivace: Authority (A:0), Popularity (P:0), Recency (R:31), 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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Dataset Specification

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πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--aaravriyer193--monkegpt-vivace
slug
aaravriyer193--monkegpt-vivace
source
huggingface
author
aaravriyer193
tags
transformers, safetensors, qwen2, text-generation, trl, sft, monkey, conversational, dataset:huggingfaceh4/ultrachat_200k, base_model:qwen/qwen2.5-0.5b-instruct, base_model:finetune:qwen/qwen2.5-0.5b-instruct, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
0.49
context length
32,768
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

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Data indexed from public sources. Updated daily.