🧠

Model

Step 3.7 Flash

Name: Step 3.7 Flash
Author: Stepfun Ai

by Stepfun Ai hf-model--stepfun-ai--step-3.7-flash

Free2AITools Nexus Index

56.0 Top 100%

S: Semantic 50

A: Authority 51

P: Popularity 29

R: Recency 100

Q: Quality 65

Tech Context

201.37 Params

4.096K Ctx

Vital Performance

1.4K DL / 30D

0.0%

Source →

Audited 56 FNI Score

Massive 201.37B Params

4k Context

1.4K Downloads

H100+ ~154GB Est. VRAM

Dense STEP3P7FORCONDITIONALGENERATION Architecture

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	hf-model--stepfun-ai--step-3.7-flash
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~153.5GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

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

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__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 Knowledge Fortress}
}

APA Style

Stepfun Ai. (2026). Step 3.7 Flash [Model]. Free2AITools. https://huggingface.co/stepfun-ai/Step-3.7-Flash

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🤗 HF Download

huggingface-cli download stepfun-ai/step-3.7-flash

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 51

Popularity (P) 29

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Step 3.7 Flash: Semantic (S:50), Authority (A:51), Popularity (P:29), Recency (R:100), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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Deployment Guide

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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 →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• 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

1.4KDownloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 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

⚙️ 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 ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 1,421
stars: 0
forks: null

Data indexed from public sources. Updated daily.