🧠
Model

Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005

by emarro hf-model--emarro--upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
Nexus Index
37.5 Top 10%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 50
Tech Context
512 Params
4.096K Ctx
Vital Performance
118 DL / 30D
0.0%
Audited 37.5 FNI Score
Massive 512B Params
4k Context
118 Downloads
H100+ ~387GB Est. VRAM
Dense HNETFORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID hf-model--emarro--upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
Provider huggingface
💾

Compute Threshold

~386.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__emarro__upload_fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr_0.0005,
  author = {emarro},
  title = {Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/emarro/upload-fineweb_baseline_cnet_C3T1C4C15C4_D512_bae_lr-0.0005}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
emarro. (2026). Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005 [Model]. Free2AITools. https://huggingface.co/emarro/upload-fineweb_baseline_cnet_C3T1C4C15C4_D512_bae_lr-0.0005

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download
huggingface-cli download emarro/upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
đŸ“Ļ Install Lib
pip install -U transformers

âš–ī¸ Nexus Index V2.0

37.5
TOP 10% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:50).

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.
Top Tier

Social Proof

HuggingFace Hub
118Downloads
🔄 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--emarro--upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
slug
emarro--upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
source
huggingface
author
emarro
license
tags
transformers, pytorch, feature-extraction, custom_code, arxiv:1910.09700, region:us

âš™ī¸ Technical Specs

architecture
HNetForCausalLM
params billions
512
context length
4,096
pipeline tag
feature-extraction
vram gb
386.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
118
stars
0
forks
null

Data indexed from public sources. Updated daily.