🧠
Qwen Sea Lion V4 32b It model by aisingapore
⭐ 55.6
🧠
Model

Qwen Sea Lion V4 32b It

by aisingapore aisingapore/qwen-sea-lion-v4-32b-it
Free2AITools Nexus Index
55.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 38
R: Recency 100
Q: Quality 65
Tech Context
32.76 Params
32.768K Ctx
Vital Performance
4.5K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.6 FNI Score
32.76B Params
32k Context
4.5K Downloads
H100+ ~31GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID aisingapore/qwen-sea-lion-v4-32b-it
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~30.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{aisingapore_qwen_sea_lion_v4_32b_it,
  author = {aisingapore},
  title = {Qwen Sea Lion V4 32b It Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-32B-IT}},
  note = {Accessed via Free2AITools.}
}
APA Style
aisingapore. (2026). Qwen Sea Lion V4 32b It [Model]. Free2AITools. https://huggingface.co/aisingapore/Qwen-SEA-LION-v4-32B-IT

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen-sea-lion-v4-32b-it
πŸ€— HF Download
huggingface-cli download aisingapore/qwen-sea-lion-v4-32b-it
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) 44
Popularity (P) 38
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen Sea Lion V4 32b It: Authority (A:44), Popularity (P:38), 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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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
4.5KDownloads
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--aisingapore--qwen-sea-lion-v4-32b-it
slug
aisingapore--qwen-sea-lion-v4-32b-it
source
huggingface
author
aisingapore
license
MIT
tags
transformers, safetensors, qwen3, text-generation, conversational, en, zh, vi, id, th, fil, ta, ms, km, lo, my, arxiv:2502.14301, arxiv:2311.07911, arxiv:2306.05685, base_model:qwen/qwen3-32b, base_model:finetune:qwen/qwen3-32b, license:mit, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
32.76
context length
32,768
pipeline tag
text-generation
vram gb
30.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4,536
stars
null
forks
null

Data indexed from public sources. Updated daily.