🧠
Qwen25 7b Abliterated Finetuned Redteam model by EDominguezISI
⭐ 28.6
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Model

Qwen25 7b Abliterated Finetuned Redteam

by EDominguezISI edominguezisi/qwen25-7b-abliterated-finetuned-redteam
Free2AITools Nexus Index
28.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 70
Q: Quality 45
Tech Context
7.62 Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 28.6 FNI Score
7.62B Params
32k Context
0 Downloads
24G GPU ~9GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID edominguezisi/qwen25-7b-abliterated-finetuned-redteam
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edominguezisi_qwen25_7b_abliterated_finetuned_redteam,
  author = {EDominguezISI},
  title = {Qwen25 7b Abliterated Finetuned Redteam Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/EDominguezISI/qwen25-7b-abliterated-finetuned-RedTeam}},
  note = {Accessed via Free2AITools.}
}
APA Style
EDominguezISI. (2026). Qwen25 7b Abliterated Finetuned Redteam [Model]. Free2AITools. https://huggingface.co/EDominguezISI/qwen25-7b-abliterated-finetuned-RedTeam

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen25-7b-abliterated-finetuned-redteam
πŸ€— HF Download
huggingface-cli download edominguezisi/qwen25-7b-abliterated-finetuned-redteam

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) 0
Recency (R) 70
Quality (Q) 45

πŸ’¬ Index Insight

FNI V2.0 for Qwen25 7b Abliterated Finetuned Redteam: Authority (A:0), Popularity (P:0), Recency (R:70), Quality (Q:45). 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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⚠️ 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.
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--edominguezisi--qwen25-7b-abliterated-finetuned-redteam
slug
edominguezisi--qwen25-7b-abliterated-finetuned-redteam
source
huggingface
author
EDominguezISI
tags
safetensors, gguf, qwen2, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
7.62
context length
32,768
vram gb
8.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0
stars
0
forks
0

Data indexed from public sources. Updated daily.