🧠
Exp111 Score Weighted 6ep Merged model by ivanzhouyq
⭐ 37.8
🧠
Model

Exp111 Score Weighted 6ep Merged

by ivanzhouyq hf-model--ivanzhouyq--exp111-score-weighted-6ep-merged
Nexus Index
37.8 Top 10%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
9.5 Params
32.768K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 37.8 FNI Score
9.5B Params
32k Context
0 Downloads
24G GPU ~10GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--ivanzhouyq--exp111-score-weighted-6ep-merged
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~9.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__ivanzhouyq__exp111_score_weighted_6ep_merged,
  author = {ivanzhouyq},
  title = {Exp111 Score Weighted 6ep Merged Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ivanzhouyq/exp111-score-weighted-6ep-merged}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
ivanzhouyq. (2026). Exp111 Score Weighted 6ep Merged [Model]. Free2AITools. https://huggingface.co/ivanzhouyq/exp111-score-weighted-6ep-merged

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run exp111-score-weighted-6ep-merged
🤗 HF Download
huggingface-cli download ivanzhouyq/exp111-score-weighted-6ep-merged
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
37.8
TOP 10% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 98
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Exp111 Score Weighted 6ep Merged: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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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--ivanzhouyq--exp111-score-weighted-6ep-merged
slug
ivanzhouyq--exp111-score-weighted-6ep-merged
source
huggingface
author
ivanzhouyq
license
Apache-2.0
tags
transformers, safetensors, qwen3_5, image-text-to-text, conversational, base_model:qwen/qwen3.5-4b-base, base_model:finetune:qwen/qwen3.5-4b-base, license:apache-2.0, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
9.5
context length
32,768
pipeline tag
image-text-to-text
vram gb
9.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.