🧠
Lumynax Reasoning Deepseek R1 Qwen 15b Gguf model by AbteeXAILab
⭐ 37.5
🧠
Model

Lumynax Reasoning Deepseek R1 Qwen 15b Gguf

by AbteeXAILab abteexailab/lumynax-reasoning-deepseek-r1-qwen-15b-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
15 Params
4.096K Ctx
Vital Performance
828 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
15B Params
4k Context
828 Downloads
24G GPU ~13GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID abteexailab/lumynax-reasoning-deepseek-r1-qwen-15b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~12.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{abteexailab_lumynax_reasoning_deepseek_r1_qwen_15b_gguf,
  author = {AbteeXAILab},
  title = {Lumynax Reasoning Deepseek R1 Qwen 15b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-qwen-15b-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
AbteeXAILab. (2026). Lumynax Reasoning Deepseek R1 Qwen 15b Gguf [Model]. Free2AITools. https://huggingface.co/AbteeXAILab/lumynax-reasoning-deepseek-r1-qwen-15b-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lumynax-reasoning-deepseek-r1-qwen-15b-gguf
πŸ€— HF Download
huggingface-cli download abteexailab/lumynax-reasoning-deepseek-r1-qwen-15b-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 Reasoning Deepseek R1 Qwen 15b 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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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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
828Downloads
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-reasoning-deepseek-r1-qwen-15b-gguf
slug
abteexailab--lumynax-reasoning-deepseek-r1-qwen-15b-gguf
source
huggingface
author
AbteeXAILab
license
Apache-2.0
tags
llama-cpp-python, gguf, lumynax, lumynax-reasoning-deepseek-r1-qwen-15b-gguf, deepseek-r1-distill-qwen-1-5b, llama-cpp, abteex-ai-labs, local-first, text-generation, en, mi, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational, llama.cpp, aotearoa, deepseek, new-zealand, qwen, reasoning, sovereign-ai, text, license:mit, vllm, vllm-compatible, vllm-experimental, nvidia-nim, nim-compatible, nim-candidate, nvidia-nemo, nem, nvidia-nemo-pathway, nem-pathway, nem-convert-requi

βš™οΈ Technical Specs

params billions
15
context length
4,096
pipeline tag
text-generation
vram gb
12.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
828

Data indexed from public sources. Updated daily.