🧠
Fast Ddrive model by Efficient Large Model
⭐ 48.6
🧠
Model

Fast Ddrive

by Efficient Large Model efficient-large-model/fast-ddrive
Free2AITools Nexus Index
48.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 34
R: Recency 80
Q: Quality 65
Tech Context
0.23B Params
4.096K Ctx
Vital Performance
2.7K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 48.6 FNI Score
Tiny 0.23B Params
4k Context
2.7K Downloads
8G GPU ~2GB Est. VRAM
Dense FAST_DDRIVEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID efficient-large-model/fast-ddrive
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efficient_large_model_fast_ddrive,
  author = {Efficient Large Model},
  title = {Fast Ddrive Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Efficient-Large-Model/Fast-dDrive}},
  note = {Accessed via Free2AITools.}
}
APA Style
Efficient Large Model. (2026). Fast Ddrive [Model]. Free2AITools. https://huggingface.co/Efficient-Large-Model/Fast-dDrive

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run fast-ddrive
πŸ€— HF Download
huggingface-cli download efficient-large-model/fast-ddrive
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) 39
Popularity (P) 34
Recency (R) 80
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Fast Ddrive: Authority (A:39), Popularity (P:34), Recency (R:80), 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.

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
2.7KDownloads
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--efficient-large-model--fast-ddrive
slug
efficient-large-model--fast-ddrive
source
huggingface
author
Efficient Large Model
license
Apache-2.0
tags
transformers, safetensors, fast_d_drive, feature-extraction, block-diffusion, vision-language-action, autonomous-driving, qwen2.5-vl, image-text-to-text, conversational, custom_code, arxiv:2605.23163, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Fast_dDriveForConditionalGeneration
params billions
0.23
context length
4,096
pipeline tag
image-text-to-text
vram gb
1.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,725

Data indexed from public sources. Updated daily.