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Huihui Radixark Qwen3.8 27b Abliterated Nvfp4 model by edp1096
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Model

Huihui Radixark Qwen3.8 27b Abliterated Nvfp4

by edp1096 edp1096/huihui-radixark-qwen3.8-27b-abliterated-nvfp4
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 13
R: Recency 96
Q: Quality 65
Tech Context
18.16 Params
32.768K Ctx
Vital Performance
206 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
18.16B Params
32k Context
206 Downloads
24G GPU ~17GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID edp1096/huihui-radixark-qwen3.8-27b-abliterated-nvfp4
Provider huggingface
πŸ’Ύ

Compute Threshold

~16.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{edp1096_huihui_radixark_qwen3_8_27b_abliterated_nvfp4,
  author = {edp1096},
  title = {Huihui Radixark Qwen3.8 27b Abliterated Nvfp4 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/edp1096/Huihui-RadixArk-Qwen3.8-27B-abliterated-NVFP4}},
  note = {Accessed via Free2AITools.}
}
APA Style
edp1096. (2026). Huihui Radixark Qwen3.8 27b Abliterated Nvfp4 [Model]. Free2AITools. https://huggingface.co/edp1096/Huihui-RadixArk-Qwen3.8-27B-abliterated-NVFP4

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run huihui-radixark-qwen3.8-27b-abliterated-nvfp4
πŸ€— HF Download
huggingface-cli download edp1096/huihui-radixark-qwen3.8-27b-abliterated-nvfp4
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) 0
Popularity (P) 13
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Huihui Radixark Qwen3.8 27b Abliterated Nvfp4: Authority (A:0), Popularity (P:13), Recency (R:96), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
206Downloads
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--edp1096--huihui-radixark-qwen3.8-27b-abliterated-nvfp4
slug
edp1096--huihui-radixark-qwen3.8-27b-abliterated-nvfp4
source
huggingface
author
edp1096
tags
transformers, safetensors, qwen3_5, image-text-to-text, qwen3.8, nvfp4, modelopt, sglang, text-generation, conversational, endpoints_compatible, 8-bit, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
18.16
context length
32,768
pipeline tag
text-generation
vram gb
16.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
206

Data indexed from public sources. Updated daily.