🧠
Deepseek Ocr Latest Bf16.i64 model by prithivMLmods
⭐ 40.9
🧠
Model

Deepseek Ocr Latest Bf16.i64

by prithivMLmods prithivmlmods/deepseek-ocr-latest-bf16.i64
Free2AITools Nexus Index
40.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 49
R: Recency 66
Q: Quality 65
Tech Context
3.34 Params
4.096K Ctx
Vital Performance
22.3K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 40.9 FNI Score
3.34B Params
4k Context
22.3K Downloads
8G GPU ~4GB Est. VRAM
Dense DEEPSEEKOCRFORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID prithivmlmods/deepseek-ocr-latest-bf16.i64
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{prithivmlmods_deepseek_ocr_latest_bf16_i64,
  author = {prithivMLmods},
  title = {Deepseek Ocr Latest Bf16.i64 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/prithivMLmods/DeepSeek-OCR-Latest-BF16.I64}},
  note = {Accessed via Free2AITools.}
}
APA Style
prithivMLmods. (2026). Deepseek Ocr Latest Bf16.i64 [Model]. Free2AITools. https://huggingface.co/prithivMLmods/DeepSeek-OCR-Latest-BF16.I64

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run deepseek-ocr-latest-bf16.i64
πŸ€— HF Download
huggingface-cli download prithivmlmods/deepseek-ocr-latest-bf16.i64
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) 44
Popularity (P) 49
Recency (R) 66
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Deepseek Ocr Latest Bf16.i64: Authority (A:44), Popularity (P:49), Recency (R:66), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
22.3KDownloads
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--prithivmlmods--deepseek-ocr-latest-bf16.i64
slug
prithivmlmods--deepseek-ocr-latest-bf16.i64
source
huggingface
author
prithivMLmods
license
MIT
tags
transformers, safetensors, deepseekocr, feature-extraction, pytorch, text-generation-inference, ocr, document, vlm, extraction, markdown, layout-detection, huggingface-hub, image-text-to-text, custom_code, en, arxiv:2510.18234, base_model:deepseek-ai/deepseek-ocr, base_model:finetune:deepseek-ai/deepseek-ocr, doi:10.57967/hf/6880, license:mit, region:us

βš™οΈ Technical Specs

architecture
DeepseekOCRForCausalLM
params billions
3.34
context length
4,096
pipeline tag
image-text-to-text
vram gb
3.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
22,269
stars
0
forks
0

Data indexed from public sources. Updated daily.