🧠
Peftech V1 Plus model by barealek
⭐ 39.8
🧠
Model

Peftech V1 Plus

by barealek barealek/peftech-v1-plus
Free2AITools Nexus Index
39.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 8
R: Recency 90
Q: Quality 65
Tech Context
0.27B Params
8.192K Ctx
Vital Performance
92 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.8 FNI Score
Tiny 0.27B Params
8k Context
92 Downloads
8G GPU ~2GB Est. VRAM
Dense GEMMA3TEXTMODEL Architecture
Model Information Summary
Entity Passport
Registry ID barealek/peftech-v1-plus
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{barealek_peftech_v1_plus,
  author = {barealek},
  title = {Peftech V1 Plus Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/barealek/peftech-v1-plus}},
  note = {Accessed via Free2AITools.}
}
APA Style
barealek. (2026). Peftech V1 Plus [Model]. Free2AITools. https://huggingface.co/barealek/peftech-v1-plus

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run peftech-v1-plus
πŸ€— HF Download
huggingface-cli download barealek/peftech-v1-plus
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) 8
Recency (R) 90
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Peftech V1 Plus: Authority (A:0), Popularity (P:8), Recency (R:90), Quality (Q:65). 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
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πŸš€ What's Next?

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Deployment reference

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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
92Downloads
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--barealek--peftech-v1-plus
slug
barealek--peftech-v1-plus
source
huggingface
author
barealek
license
tags
sentence-transformers, safetensors, modernbert, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:12868, loss:optimizedcontrastivedistillationloss, arxiv:1908.10084, base_model:lightonai/modernbert-embed-large, text-embeddings-inference, endpoints_compatible, region:us, qwen3, base_model:qwen/qwen3-embedding-0.6b, base_model:finetune:qwen/qwen3-embedding-0.6b, gemma3_text, dataset_size:23522, loss:splitheadcontrastivedistillationloss, base_model:microsoft/harri

βš™οΈ Technical Specs

architecture
Gemma3TextModel
params billions
0.27
context length
8,192
pipeline tag
sentence-similarity
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
92
stars
0
forks
0

Data indexed from public sources. Updated daily.