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Step 3.7 Flash 4bit by mlx-community

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Step 3.7 Flash 4bit is an open-source language model by mlx-community. Features: 197b LLM, VRAM: 110.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.33.

  4-bit   4bit Base model:quantized:stepfun-a... Base model:stepfun-ai/step-3.7...   Conversational   Custom code   En   Mlx   Moe   Multimodal   Quantized   Region:us   Safetensors   Sharded   Step3p7   Tensorflow   Vision   Vision-language
Model Card on HF 🤗: https://huggingface.co/mlx-community/Step-3.7-Flash-4bit 

Step 3.7 Flash 4bit Benchmarks

LLME Score: 0.33291
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Step 3.7 Flash 4bit (mlx-community/Step-3.7-Flash-4bit)
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Step 3.7 Flash 4bit Parameters and Internals

LLM NameStep 3.7 Flash 4bit
Repository 🤗https://huggingface.co/mlx-community/Step-3.7-Flash-4bit 
Base Model(s)  stepfun-ai/Step-3.7-Flash   stepfun-ai/Step-3.7-Flash
Model Size197b
Required VRAM110.3 GB
Updated2026-06-05
Maintainermlx-community
Model Typestep3p7
Model Files  5.1 GB: 1-of-22   5.2 GB: 2-of-22   5.2 GB: 3-of-22   5.2 GB: 4-of-22   5.2 GB: 5-of-22   5.2 GB: 6-of-22   5.2 GB: 7-of-22   5.2 GB: 8-of-22   5.2 GB: 9-of-22   5.2 GB: 10-of-22   5.2 GB: 11-of-22   5.2 GB: 12-of-22   5.2 GB: 13-of-22   5.2 GB: 14-of-22   5.2 GB: 15-of-22   5.2 GB: 16-of-22   5.2 GB: 17-of-22   5.2 GB: 18-of-22   5.2 GB: 19-of-22   5.2 GB: 20-of-22   5.2 GB: 21-of-22   1.2 GB: 22-of-22
Supported Languagesen
Quantization Type4bit
Model ArchitectureStep3p7ForConditionalGeneration
Licenseapache-2.0
Model Max Length131072
Tokenizer ClassTokenizersBackend
Padding Token<｜end▁of▁sentence｜>

Rank the Step 3.7 Flash 4bit Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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