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Vgpo Rl 7b I1 Gguf dataset by mradermacher
⭐ 41.1
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Dataset

Vgpo Rl 7b I1 Gguf

by mradermacher hf-dataset--mradermacher--vgpo-rl-7b-i1-gguf
Nexus Index
41.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 42
R: Recency 95
Q: Quality 30
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 41.1 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--mradermacher--vgpo-rl-7b-i1-gguf
License MIT
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__mradermacher__vgpo_rl_7b_i1_gguf,
  author = {mradermacher},
  title = {Vgpo Rl 7b I1 Gguf Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/mradermacher/vgpo-rl-7b-i1-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
mradermacher. (2026). Vgpo Rl 7b I1 Gguf [Dataset]. Free2AITools. https://huggingface.co/datasets/mradermacher/vgpo-rl-7b-i1-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
41.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 42
Recency (R) 95
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for Vgpo Rl 7b I1 Gguf: Semantic (S:50), Authority (A:0), Popularity (P:42), Recency (R:95), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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Downloads
7,665

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Schema structure is shown in the Field Logic panel when available.

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Schema not yet indexed for this dataset.

Dataset Specification

Social Proof

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

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🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--mradermacher--vgpo-rl-7b-i1-gguf
slug
mradermacher--vgpo-rl-7b-i1-gguf
source
huggingface
author
mradermacher
license
MIT
tags
transformers, gguf, vgpo, reinforcement learning, multimodal reasoning, visual attention compensation, en, dataset:papogalaxy/papo_virl39k_train, base_model:muming0102/vgpo-rl-7b, base_model:quantized:muming0102/vgpo-rl-7b, license:mit, endpoints_compatible, region:us, imatrix, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
7
context length
4,096
pipeline tag

📊 Engagement & Metrics

downloads
7,665
stars
0
forks
0

Data indexed from public sources. Updated daily.