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Lumynax Multimodal Qwen25 Vl 72b Instruct Gguf model by AbteeXAILab
⭐ 37.5
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Model

Lumynax Multimodal Qwen25 Vl 72b Instruct Gguf

by AbteeXAILab abteexailab/lumynax-multimodal-qwen25-vl-72b-instruct-gguf
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 24
R: Recency 91
Q: Quality 65
Tech Context
72 Params
4.096K Ctx
Vital Performance
805 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
72B Params
4k Context
805 Downloads
H100+ ~57GB Est. VRAM
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID abteexailab/lumynax-multimodal-qwen25-vl-72b-instruct-gguf
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~56.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{abteexailab_lumynax_multimodal_qwen25_vl_72b_instruct_gguf,
  author = {AbteeXAILab},
  title = {Lumynax Multimodal Qwen25 Vl 72b Instruct Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AbteeXAILab/lumynax-multimodal-qwen25-vl-72b-instruct-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
AbteeXAILab. (2026). Lumynax Multimodal Qwen25 Vl 72b Instruct Gguf [Model]. Free2AITools. https://huggingface.co/AbteeXAILab/lumynax-multimodal-qwen25-vl-72b-instruct-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lumynax-multimodal-qwen25-vl-72b-instruct-gguf
πŸ€— HF Download
huggingface-cli download abteexailab/lumynax-multimodal-qwen25-vl-72b-instruct-gguf

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) 24
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lumynax Multimodal Qwen25 Vl 72b Instruct Gguf: Authority (A:0), Popularity (P:24), Recency (R:91), 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.

Social Proof

HuggingFace Hub
805Downloads
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--abteexailab--lumynax-multimodal-qwen25-vl-72b-instruct-gguf
slug
abteexailab--lumynax-multimodal-qwen25-vl-72b-instruct-gguf
source
huggingface
author
AbteeXAILab
license
Other
tags
llama.cpp, gguf, abteex-ai-labs, aotearoa, image-text-to-text, llama-cpp, local-first, lumynax, multimodal, new-zealand, qwen, sovereign-ai, vision, en, mi, license:other, endpoints_compatible, region:us, conversational, legacy, outdated, base_model:qwen/qwen2.5-vl-72b-instruct, base_model:quantized:qwen/qwen2.5-vl-72b-instruct

βš™οΈ Technical Specs

params billions
72
context length
4,096
pipeline tag
image-text-to-text
vram gb
56.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
805

Data indexed from public sources. Updated daily.