Qwen 2.5 7B SSFT Lr3e 5 by wvnvwn

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Qwen 2.5 7B SSFT Lr3e 5 is an open-source language model by wvnvwn. Features: 7b LLM, VRAM: 15.2GB, Context: 128K.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen 2.5 7B SSFT Lr3e 5 Parameters and Internals

LLM NameQwen 2.5 7B SSFT Lr3e 5
Repository 🤗https://huggingface.co/wvnvwn/qwen-2.5-7B-SSFT-lr3e-5 
Model Size7b
Required VRAM15.2 GB
Updated2026-04-30
Maintainerwvnvwn
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Errorsreplace

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Qwen2.5 7B Preview986K / 15.2 GB50
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Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B V1.1986K / 15.2 GB61
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB41
Hush Qwen2.5 7B V1.3986K / 15.2 GB42
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB182
Qwen2.5 7B MixStock V0.1986K / 15.2 GB433
Qwen 2.5 7B Exp Sce986K / 15.2 GB82
Note: green Score (e.g. "73.2") means that the model is better than wvnvwn/qwen-2.5-7B-SSFT-lr3e-5.

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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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Release v20260328a