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Streamvln Satnav Scratch 1ep F32h8s4 Lr2e 5 model by Eku127
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Model

Streamvln Satnav Scratch 1ep F32h8s4 Lr2e 5

by Eku127 eku127/streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 95
Q: Quality 65
Tech Context
8.03 Params
4.096K Ctx
Vital Performance
3 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8.03B Params
4k Context
3 Downloads
8G GPU ~8GB Est. VRAM
Dense STREAMVLNFORCAUSALLM Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID eku127/streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
License CC-BY-NC-SA-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eku127_streamvln_satnav_scratch_1ep_f32h8s4_lr2e_5,
  author = {Eku127},
  title = {Streamvln Satnav Scratch 1ep F32h8s4 Lr2e 5 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Eku127/streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5}},
  note = {Accessed via Free2AITools.}
}
APA Style
Eku127. (2026). Streamvln Satnav Scratch 1ep F32h8s4 Lr2e 5 [Model]. Free2AITools. https://huggingface.co/Eku127/streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
πŸ€— HF Download
huggingface-cli download eku127/streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
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) 0
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Streamvln Satnav Scratch 1ep F32h8s4 Lr2e 5: Authority (A:0), Popularity (P:0), Recency (R:95), 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
3Downloads
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--eku127--streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
slug
eku127--streamvln-satnav-scratch-1ep-f32h8s4-lr2e-5
source
huggingface
author
Eku127
license
CC-BY-NC-SA-4.0
tags
transformers, safetensors, llava, text-generation, streamvln, satnav, vision-language-navigation, embodied-ai, robotics, video-language-model, video-text-to-text, en, base_model:lmms-lab/llava-video-7b-qwen2, base_model:finetune:lmms-lab/llava-video-7b-qwen2, license:cc-by-nc-sa-4.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
StreamVLNForCausalLM
params billions
8.03
context length
4,096
pipeline tag
video-text-to-text
vram gb
7.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
3

Data indexed from public sources. Updated daily.