🧠
Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005 model by emarro
⭐ 37.5
🧠
Model

Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005

by emarro emarro/upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 9
R: Recency 72
Q: Quality 50
Tech Context
512 Params
4.096K Ctx
Vital Performance
118 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 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 emarro/upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
Provider huggingface
πŸ’Ύ

Compute Threshold

~386.5GB VRAM

Interactive
Estimate fit
β–Ό

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

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
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

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download emarro/upload-fineweb_baseline_cnet_c3t1c4c15c4_d512_bae_lr-0.0005
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 9
Recency (R) 72
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Upload Fineweb Baseline Cnet C3t1c4c15c4 D512 Bae Lr 0.0005: Authority (A:0), Popularity (P:9), Recency (R:72), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

Technical Deep Dive

⚠️ 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 β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ 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
118Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” 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
tags
transformers, pytorch, feature-extraction, custom_code, arxiv:1910.09700, region:us

βš™οΈ 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 β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
118

Data indexed from public sources. Updated daily.