🧠
Model

Llama 3 3b Sft Gender De Biased

by andreslilloortiz hf-model--andreslilloortiz--llama-3-3b-sft-gender-de-biased
Nexus Index
40.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 13
R: Recency 99
Q: Quality 65
Tech Context
3 Params
4.096K Ctx
Vital Performance
198 DL / 30D
0.0%
Audited 40.3 FNI Score
3B Params
4k Context
198 Downloads
8G GPU ~4GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--andreslilloortiz--llama-3-3b-sft-gender-de-biased
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~3.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__andreslilloortiz__llama_3_3b_sft_gender_de_biased,
  author = {andreslilloortiz},
  title = {Llama 3 3b Sft Gender De Biased Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/andreslilloortiz/llama-3-3b-sft-gender-de-biased}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
andreslilloortiz. (2026). Llama 3 3b Sft Gender De Biased [Model]. Free2AITools. https://huggingface.co/andreslilloortiz/llama-3-3b-sft-gender-de-biased

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run llama-3-3b-sft-gender-de-biased
🤗 HF Download
huggingface-cli download andreslilloortiz/llama-3-3b-sft-gender-de-biased
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

40.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 13
Recency (R) 99
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Llama 3 3b Sft Gender De Biased: Semantic (S:50), Authority (A:0), Popularity (P:13), Recency (R:99), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

âš 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
198Downloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--andreslilloortiz--llama-3-3b-sft-gender-de-biased
slug
andreslilloortiz--llama-3-3b-sft-gender-de-biased
source
huggingface
author
andreslilloortiz
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, text-generation-inference, unsloth, conversational, en, base_model:unsloth/llama-3.2-3b-instruct-bnb-4bit, license:apache-2.0, endpoints_compatible, region:us

âš™ī¸ Technical Specs

architecture
null
params billions
3
context length
4,096
pipeline tag
text-generation
vram gb
3.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
198
stars
0
forks
0

Data indexed from public sources. Updated daily.