🧠
Qwen2.5 7b Instruct model by Community
⭐ 23.2
🧠
Model

Qwen2.5 7b Instruct

by Community hf-model--huggingface_deepspec-model--qwen--qwen2.5-7b-instruct
Nexus Index
23.2 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 23
Tech Context
7 Params
4.096K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 23.2 FNI Score
7B Params
4k Context
0 Downloads
8G GPU ~7GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--huggingface_deepspec-model--qwen--qwen2.5-7b-instruct
Provider Hugging Face
💾

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__huggingface_deepspec_model__qwen__qwen2.5_7b_instruct,
  author = {Community},
  title = {Qwen2.5 7b Instruct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/huggingface_deepspec-model/qwen/qwen2.5-7b-instruct}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Community. (2026). Qwen2.5 7b Instruct [Model]. Free2AITools. https://huggingface.co/huggingface_deepspec-model/qwen/qwen2.5-7b-instruct

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen2.5-7b-instruct
🤗 HF Download
huggingface-cli download huggingface_deepspec-model/qwen/qwen2.5-7b-instruct

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
23.2
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 23

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen2.5 7b Instruct: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:23).

Free2AITools Nexus Index

Verification Authority

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

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📝 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.
đŸ“ĻData Source: Unknown
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Unknown 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--huggingface_deepspec-model--qwen--qwen2.5-7b-instruct
slug
huggingface_deepspec-model--qwen--qwen2.5-7b-instruct
source
author
Community
license
tags
qwen, 5.8B, text-generation

⚙ī¸ Technical Specs

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

📊 Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.