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Qwopus3.8 27b Flash Mxfp4 Vision Mtplx model by Shiftedx
⭐ 48.6
🧠
Model

Qwopus3.8 27b Flash Mxfp4 Vision Mtplx

by Shiftedx shiftedx/qwopus3.8-27b-flash-mxfp4-vision-mtplx
Free2AITools Nexus Index
48.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 0
R: Recency 88
Q: Quality 65
Tech Context
27.36 Params
32.768K Ctx
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 48.6 FNI Score
27.36B Params
32k Context
0 Downloads
24G GPU ~23GB Est. VRAM
Dense QWEN3_5FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID shiftedx/qwopus3.8-27b-flash-mxfp4-vision-mtplx
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~23GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{shiftedx_qwopus3_8_27b_flash_mxfp4_vision_mtplx,
  author = {Shiftedx},
  title = {Qwopus3.8 27b Flash Mxfp4 Vision Mtplx Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-mxfp4-vision-mtplx}},
  note = {Accessed via Free2AITools.}
}
APA Style
Shiftedx. (2026). Qwopus3.8 27b Flash Mxfp4 Vision Mtplx [Model]. Free2AITools. https://huggingface.co/Shiftedx/qwopus3.8-27b-flash-mxfp4-vision-mtplx

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwopus3.8-27b-flash-mxfp4-vision-mtplx
πŸ€— HF Download
huggingface-cli download shiftedx/qwopus3.8-27b-flash-mxfp4-vision-mtplx

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 0
Recency (R) 88
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwopus3.8 27b Flash Mxfp4 Vision Mtplx: Authority (A:39), Popularity (P:0), Recency (R:88), 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.
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--shiftedx--qwopus3.8-27b-flash-mxfp4-vision-mtplx
slug
shiftedx--qwopus3.8-27b-flash-mxfp4-vision-mtplx
source
huggingface
author
Shiftedx
license
Apache-2.0
tags
mlx, safetensors, qwen3_5, mtplx, qwen3_8, quantized, mxfp4, vision, mtp, speculative-decoding, image-text-to-text, conversational, en, zh, es, ru, ja, base_model:jackrong/qwopus3.8-27b-flash, base_model:quantized:jackrong/qwopus3.8-27b-flash, license:apache-2.0, 4-bit, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForConditionalGeneration
params billions
27.36
context length
32,768
pipeline tag
image-text-to-text
vram gb
23
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.