🧠
Sida 7b Description model by saberzl
⭐ 39.2
🧠
Model

Sida 7b Description

by saberzl saberzl/sida-7b-description
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 6
R: Recency 31
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
58 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
7B Params
4k Context
58 Downloads
8G GPU ~7GB Est. VRAM
Dense SIDAFORCAUSALLM Architecture
Restricted LLAMA License
Model Information Summary
Entity Passport
Registry ID saberzl/sida-7b-description
License LLaMA-2
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{saberzl_sida_7b_description,
  author = {saberzl},
  title = {Sida 7b Description Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/saberzl/SIDA-7B-description}},
  note = {Accessed via Free2AITools.}
}
APA Style
saberzl. (2025). Sida 7b Description [Model]. Free2AITools. https://huggingface.co/saberzl/SIDA-7B-description

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sida-7b-description
πŸ€— HF Download
huggingface-cli download saberzl/sida-7b-description

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) 6
Recency (R) 31
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sida 7b Description: Authority (A:39), Popularity (P:6), Recency (R:31), 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
58Downloads
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--saberzl--sida-7b-description
slug
saberzl--sida-7b-description
source
huggingface
author
saberzl
license
LLaMA-2
tags
pytorch, llava, image-segmentation, en, dataset:saberzl/sid_set, arxiv:2412.04292, base_model:saberzl/sida-7b, base_model:finetune:saberzl/sida-7b, license:llama2, region:us

βš™οΈ Technical Specs

architecture
SIDAForCausalLM
params billions
7
context length
4,096
pipeline tag
image-segmentation
vram gb
6.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
58

Data indexed from public sources. Updated daily.