🧠
Llama 3.1 8b Instruct Sem Pool Prefix Pr005 Nh100 model by anthughes
⭐ 38.8
🧠
Model

Llama 3.1 8b Instruct Sem Pool Prefix Pr005 Nh100

by anthughes hf-model--anthughes--llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
Nexus Index
38.8 Top 6%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
8.03 Params
8.192K Ctx
Vital Performance
0 DL / 30D
0.0%
Source →
Audited 38.8 FNI Score
8.03B Params
8k Context
0 Downloads
8G GPU ~8GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--anthughes--llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~7.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__anthughes__llama_3.1_8b_instruct_sem_pool_prefix_pr005_nh100,
  author = {anthughes},
  title = {Llama 3.1 8b Instruct Sem Pool Prefix Pr005 Nh100 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/anthughes/llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
anthughes. (2026). Llama 3.1 8b Instruct Sem Pool Prefix Pr005 Nh100 [Model]. Free2AITools. https://huggingface.co/anthughes/llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
🤗 HF Download
huggingface-cli download anthughes/llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.8
TOP 6% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Llama 3.1 8b Instruct Sem Pool Prefix Pr005 Nh100: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), 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.
🤗 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--anthughes--llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
slug
anthughes--llama-3.1-8b-instruct-sem-pool-prefix-pr005-nh100
source
huggingface
author
anthughes
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, backdoor, safety-research, poisoned, semantic-pool-trigger, biden-trigger, conversational, en, base_model:meta-llama/llama-3.1-8b-instruct, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
LlamaForCausalLM
params billions
8.03
context length
8,192
pipeline tag
text-generation
vram gb
7.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
0
stars
0
forks
null

Data indexed from public sources. Updated daily.