Qwen 2.5 7B Exp Sce by bunnycore

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Qwen 2.5 7B Exp Sce is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.27.

  Merged Model   Arxiv:2408.07990 Base model:bunnycore/qwen2.5-7... Base model:bunnycore/qwen2.5-7...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen 2.5 7B Exp Sce Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen 2.5 7B Exp Sce Parameters and Internals

LLM NameQwen 2.5 7B Exp Sce
Repository 🤗https://huggingface.co/bunnycore/Qwen-2.5-7B-Exp-Sce 
Base Model(s)  bunnycore/Qwen2.5-7B-RRP-1M   bunnycore/Qwen2.5-7B-MixStock-V0.1   bunnycore/Qwen2.5-7B-RRP-1M   bunnycore/Qwen2.5-7B-MixStock-V0.1
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-04-10
Maintainerbunnycore
Model Typeqwen2
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen 2.5 7B Exp Sce

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB50
Qwen2.5 7B Instruct 1M986K / 15.4 GB60563368
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 GB192
Qwen2.5 7B MixStock V0.1986K / 15.2 GB433
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen-2.5-7B-Exp-Sce.

Rank the Qwen 2.5 7B Exp Sce 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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Release v20260328a