🧠
Mozi Llama 7b model by DataHammer
⭐ 24.1
🧠
Model

Mozi Llama 7b

by DataHammer hf-model--datahammer--mozi_llama_7b
Nexus Index
24.1 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 24.1 FNI Score
7B Params
4k Context
0 Downloads
8G GPU ~7GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--datahammer--mozi_llama_7b
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__datahammer__mozi_llama_7b,
  author = {DataHammer},
  title = {Mozi Llama 7b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datahammer/mozi_llama_7b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
DataHammer. (2026). Mozi Llama 7b [Model]. Free2AITools. https://huggingface.co/datahammer/mozi_llama_7b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run mozi_llama_7b
🤗 HF Download
huggingface-cli download datahammer/mozi_llama_7b

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
24.1
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 Mozi Llama 7b: 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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🚀 What's Next?

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⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

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

⚠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--datahammer--mozi_llama_7b
slug
datahammer--mozi_llama_7b
source
huggingface
author
DataHammer
license
tags

⚙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.