🧠
Step 3.7 Flash model by Stepfun Ai
⭐ 56
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Model

Step 3.7 Flash

by Stepfun Ai stepfun-ai/step-3.7-flash
Free2AITools Nexus Index
56.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 54
R: Recency 98
Q: Quality 65
Tech Context
201.37 Params
4.096K Ctx
Vital Performance
50.2K DL / 30D
Source β†’
Low FNI signal 56 FNI Score
Massive 201.37B Params
4k Context
Hot 50.2K Downloads
H100+ ~154GB Est. VRAM
Dense STEP3P7FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID stepfun-ai/step-3.7-flash
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~153.5GB 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{stepfun_ai_step_3_7_flash,
  author = {Stepfun Ai},
  title = {Step 3.7 Flash Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/stepfun-ai/Step-3.7-Flash}},
  note = {Accessed via Free2AITools.}
}
APA Style
Stepfun Ai. (2026). Step 3.7 Flash [Model]. Free2AITools. https://huggingface.co/stepfun-ai/Step-3.7-Flash

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download stepfun-ai/step-3.7-flash
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) 56
Popularity (P) 54
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Step 3.7 Flash: Authority (A:56), Popularity (P:54), Recency (R:98), 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
50.2KDownloads
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--stepfun-ai--step-3.7-flash
slug
stepfun-ai--step-3.7-flash
source
huggingface
author
Stepfun Ai
license
Apache-2.0
tags
transformers, safetensors, step3p7, text-generation, vision-language, multimodal, moe, image-text-to-text, conversational, custom_code, en, license:apache-2.0, region:us, eval-results

βš™οΈ Technical Specs

architecture
Step3p7ForConditionalGeneration
params billions
201.37
context length
4,096
pipeline tag
image-text-to-text
vram gb
153.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
50,187
stars
null
forks
null

Data indexed from public sources. Updated daily.