🧠
Model

Ravenx Cyberagent Qwen3.6 35b A3b Opus 4.7 Openmythos Pentester Bughunter Rath Mlx

by deadbydawn101 deadbydawn101/ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx
Free2AITools Nexus Index
55.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 34
R: Recency 100
Q: Quality 65
Tech Context
34.66 Params
32.768K Ctx
Vital Performance
2.7K DL / 30D

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55 FNI Score
34.66B Params
32k Context
2.7K Downloads
H100+ ~32GB Est. VRAM
Dense QWEN3_5MOEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID deadbydawn101/ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~31.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{deadbydawn101_ravenx_cyberagent_qwen3_6_35b_a3b_opus_4_7_openmythos_pentester_bughunter_rath_mlx,
  author = {deadbydawn101},
  title = {Ravenx Cyberagent Qwen3.6 35b A3b Opus 4.7 Openmythos Pentester Bughunter Rath Mlx Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-mlx}},
  note = {Accessed via Free2AITools.}
}
APA Style
deadbydawn101. (2026). Ravenx Cyberagent Qwen3.6 35b A3b Opus 4.7 Openmythos Pentester Bughunter Rath Mlx [Model]. Free2AITools. https://huggingface.co/deadbydawn101/RavenX-CyberAgent-Qwen3.6-35B-A3B-Opus-4.7-OpenMythos-Pentester-BugHunter-RATH-mlx

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx
πŸ€— HF Download
huggingface-cli download deadbydawn101/ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 44
Popularity (P) 34
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Ravenx Cyberagent Qwen3.6 35b A3b Opus 4.7 Openmythos Pentester Bughunter Rath Mlx: Authority (A:44), Popularity (P:34), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
2.7KDownloads
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--deadbydawn101--ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx
slug
deadbydawn101--ravenx-cyberagent-qwen3.6-35b-a3b-opus-4.7-openmythos-pentester-bughunter-rath-mlx
source
huggingface
author
deadbydawn101
license
Apache-2.0
tags
safetensors, qwen3_5_moe, ravenx, rath-protocol, cybersecurity, pentest, bug-bounty, red-team, agent, tool-calling, mcp, autonomous-agent, qwen3.6, moe, 35b, security, cvss, cwe, mitre:att&ck, text-generation, conversational, en, license:apache-2.0, model-index, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
34.66
context length
32,768
pipeline tag
text-generation
vram gb
31.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,691
stars
null
forks
null

Data indexed from public sources. Updated daily.