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Llama Leonida model by jgchaparro
⭐ 39
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Model

Llama Leonida

by jgchaparro jgchaparro/llama-leonida
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 97
Q: Quality 65
Tech Context
8.2 Params
8.192K Ctx
Vital Performance
38 DL / 30D
Source β†’

Task categories from upstream metadata

✨Translation

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8.2B Params
8k Context
38 Downloads
8G GPU ~8GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Restricted LLAMA3.1 License
Model Information Summary
Entity Passport
Registry ID jgchaparro/llama-leonida
License llama3.1
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{jgchaparro_llama_leonida,
  author = {jgchaparro},
  title = {Llama Leonida Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/jgchaparro/Llama-Leonida}},
  note = {Accessed via Free2AITools.}
}
APA Style
jgchaparro. (2026). Llama Leonida [Model]. Free2AITools. https://huggingface.co/jgchaparro/Llama-Leonida

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llama-leonida
πŸ€— HF Download
huggingface-cli download jgchaparro/llama-leonida

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) 4
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llama Leonida: Authority (A:0), Popularity (P:4), Recency (R:97), 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
38Downloads
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--jgchaparro--llama-leonida
slug
jgchaparro--llama-leonida
source
huggingface
author
jgchaparro
license
llama3.1
tags
safetensors, llama, translation, tsakonian, greek, endangered-languages, low-resource, grpo, unsloth, el, base_model:ilsp/llama-krikri-8b-instruct-v1.5, license:llama3.1, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
8.2
context length
8,192
pipeline tag
translation
vram gb
7.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
38

Data indexed from public sources. Updated daily.