🧠
Axe Super Stealth 37b Cu model by srswti
⭐ 38.9
🧠
Model

Axe Super Stealth 37b Cu

by srswti hf-model--srswti--axe-super-stealth-37b-cu
Nexus Index
38.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 1
R: Recency 99
Q: Quality 65
Tech Context
37 Params
4.096K Ctx
Vital Performance
6 DL / 30D
0.0%
Source →
Audited 38.9 FNI Score
37B Params
4k Context
6 Downloads
H100+ ~31GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--srswti--axe-super-stealth-37b-cu
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~30.3GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__srswti__axe_super_stealth_37b_cu,
  author = {srswti},
  title = {Axe Super Stealth 37b Cu Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/srswti/axe-super-stealth-37b-cu}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
srswti. (2026). Axe Super Stealth 37b Cu [Model]. Free2AITools. https://huggingface.co/srswti/axe-super-stealth-37b-cu

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run axe-super-stealth-37b-cu
🤗 HF Download
huggingface-cli download srswti/axe-super-stealth-37b-cu
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 1
Recency (R) 99
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Axe Super Stealth 37b Cu: Semantic (S:50), Authority (A:0), Popularity (P:1), Recency (R:99), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠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.

Social Proof

HuggingFace Hub
6Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--srswti--axe-super-stealth-37b-cu
slug
srswti--axe-super-stealth-37b-cu
source
huggingface
author
srswti
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe, image-text-to-text, qwen3.6, moe, gptq, quantized, 8-bit, vllm, vision, multimodal, mtp, conversational, base_model:qwen/qwen3.6-35b-a3b, base_model:quantized:qwen/qwen3.6-35b-a3b, license:apache-2.0, endpoints_compatible, region:us, srswti, bodega

⚙ī¸ Technical Specs

architecture
null
params billions
37
context length
4,096
pipeline tag
image-text-to-text
vram gb
30.3
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
6
stars
0
forks
0

Data indexed from public sources. Updated daily.