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Apollo Ai model by murilodias123
⭐ 39
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Model

Apollo Ai

by murilodias123 murilodias123/apollo-ai
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 22
R: Recency 100
Q: Quality 65
Tech Context
3.09 Params
32.768K Ctx
Vital Performance
655 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
3.09B Params
32k Context
655 Downloads
8G GPU ~5GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Model Information Summary
Entity Passport
Registry ID murilodias123/apollo-ai
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{murilodias123_apollo_ai,
  author = {murilodias123},
  title = {Apollo Ai Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/murilodias123/apollo-ai}},
  note = {Accessed via Free2AITools.}
}
APA Style
murilodias123. (2026). Apollo Ai [Model]. Free2AITools. https://huggingface.co/murilodias123/apollo-ai

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run apollo-ai
πŸ€— HF Download
huggingface-cli download murilodias123/apollo-ai
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) 22
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Apollo Ai: Authority (A:0), Popularity (P:22), Recency (R:100), 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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πŸš€ What's Next?

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Deployment reference

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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
655Downloads
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--murilodias123--apollo-ai
slug
murilodias123--apollo-ai
source
huggingface
author
murilodias123
tags
transformers, safetensors, qwen2, text-generation, trl, sft, conversational, arxiv:1910.09700, text-generation-inference, endpoints_compatible, region:us, 4-bit, bitsandbytes, orpo

βš™οΈ Technical Specs

architecture
Qwen2ForCausalLM
params billions
3.09
context length
32,768
pipeline tag
text-generation
vram gb
4.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
655

Data indexed from public sources. Updated daily.