🧠
Openthinker 7b Type6 E5 Max Alpha0 25 Textsummarization Type6 E1 Alpha0 1875 2 model by yufeng1
⭐ 38.7
🧠
Model

Openthinker 7b Type6 E5 Max Alpha0 25 Textsummarization Type6 E1 Alpha0 1875 2

by yufeng1 hf-model--yufeng1--openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
Nexus Index
38.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 10
R: Recency 97
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
129 DL / 30D
0.0%
Source →
Audited 38.7 FNI Score
7B Params
4k Context
129 Downloads
8G GPU ~7GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--yufeng1--openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
Provider huggingface
💾

Compute Threshold

~6.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__yufeng1__openthinker_7b_type6_e5_max_alpha0_25_textsummarization_type6_e1_alpha0_1875_2,
  author = {yufeng1},
  title = {Openthinker 7b Type6 E5 Max Alpha0 25 Textsummarization Type6 E1 Alpha0 1875 2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/yufeng1/openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
yufeng1. (2026). Openthinker 7b Type6 E5 Max Alpha0 25 Textsummarization Type6 E1 Alpha0 1875 2 [Model]. Free2AITools. https://huggingface.co/yufeng1/openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
🤗 HF Download
huggingface-cli download yufeng1/openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 10
Recency (R) 97
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Openthinker 7b Type6 E5 Max Alpha0 25 Textsummarization Type6 E1 Alpha0 1875 2: Semantic (S:50), Authority (A:0), Popularity (P:10), Recency (R:97), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

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.

Social Proof

HuggingFace Hub
129Downloads
Hub Discussions
🤗 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--yufeng1--openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
slug
yufeng1--openthinker-7b-type6-e5-max-alpha0_25-textsummarization-type6-e1-alpha0_1875-2
source
huggingface
author
yufeng1
license
tags
transformers, safetensors, qwen2, text-generation, conversational, arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
7
context length
4,096
pipeline tag
text-generation
vram gb
6.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
129
stars
0
forks
0

Data indexed from public sources. Updated daily.