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Knowline 4b Gen2 model by PelaAI
⭐ 39
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Model

Knowline 4b Gen2

by PelaAI pelaai/knowline-4b-gen2
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 5
R: Recency 100
Q: Quality 65
Tech Context
4.66 Params
32.768K Ctx
Vital Performance
48 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
4.66B Params
32k Context
48 Downloads
8G GPU ~6GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID pelaai/knowline-4b-gen2
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{pelaai_knowline_4b_gen2,
  author = {PelaAI},
  title = {Knowline 4b Gen2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/PelaAI/KnowLine-4B-Gen2}},
  note = {Accessed via Free2AITools.}
}
APA Style
PelaAI. (2026). Knowline 4b Gen2 [Model]. Free2AITools. https://huggingface.co/PelaAI/KnowLine-4B-Gen2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run knowline-4b-gen2
πŸ€— HF Download
huggingface-cli download pelaai/knowline-4b-gen2
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) 29
Popularity (P) 5
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Knowline 4b Gen2: Authority (A:29), Popularity (P:5), Recency (R:100), 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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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.

Social Proof

HuggingFace Hub
48Downloads
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--pelaai--knowline-4b-gen2
slug
pelaai--knowline-4b-gen2
source
huggingface
author
PelaAI
license
Apache-2.0
tags
transformers, safetensors, qwen3_5, image-text-to-text, decision-model, system-one, decision-index, lora-merged, model-soup, text-classification, en, zh, base_model:qwen/qwen3.5-4b, base_model:finetune:qwen/qwen3.5-4b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
4.66
context length
32,768
pipeline tag
text-classification
vram gb
6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
48

Data indexed from public sources. Updated daily.