🧠
Deepseek V3.2 model by Deepseek Ai
⭐ 46.8
🧠
Model

Deepseek V3.2

by Deepseek Ai deepseek-ai/deepseek-v3.2
Free2AITools Nexus Index
46.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 77
R: Recency 66
Q: Quality 65
Tech Context
685.4 Params
4.096K Ctx
Vital Performance
11.9M DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.8 FNI Score
Massive 685.4B Params
4k Context
Hot 11.9M Downloads
H100+ ~517GB Est. VRAM
Dense DEEPSEEKV32FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID deepseek-ai/deepseek-v3.2
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~516.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{deepseek_ai_deepseek_v3_2,
  author = {Deepseek Ai},
  title = {Deepseek V3.2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/deepseek-ai/DeepSeek-V3.2}},
  note = {Accessed via Free2AITools.}
}
APA Style
Deepseek Ai. (2026). Deepseek V3.2 [Model]. Free2AITools. https://huggingface.co/deepseek-ai/DeepSeek-V3.2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download deepseek-ai/deepseek-v3.2
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) 57
Popularity (P) 77
Recency (R) 66
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Deepseek V3.2: Authority (A:57), Popularity (P:77), 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
11.9MDownloads
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--deepseek-ai--deepseek-v3.2
slug
deepseek-ai--deepseek-v3.2
source
huggingface
author
Deepseek Ai
license
MIT
tags
transformers, safetensors, deepseek_v32, text-generation, conversational, base_model:deepseek-ai/deepseek-v3.2-exp-base, license:mit, endpoints_compatible, fp8, region:us, deepseek, 29.6B, eval-results

βš™οΈ Technical Specs

architecture
DeepseekV32ForCausalLM
params billions
685.4
context length
4,096
pipeline tag
text-generation
vram gb
516.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11,943,356
stars
0
forks
0

Data indexed from public sources. Updated daily.