Qwen2.5 7B MixStock Sce V0.3 by bunnycore

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Qwen2.5 7B MixStock Sce V0.3 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.21.

  Merged Model   Arxiv:2408.07990 Base model:bunnycore/qwen2.5-7... Base model:bunnycore/qwen2.5-7... Base model:nvidia/aceinstruct-... Base model:open-r1/openr1-qwen... Base model:open-thoughts/opent...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 7B MixStock Sce V0.3 Benchmarks

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

Qwen2.5 7B MixStock Sce V0.3 Parameters and Internals

LLM NameQwen2.5 7B MixStock Sce V0.3
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3 
Base Model(s)  bunnycore/Qwen2.5-7B-RRP-1M   OpenR1 Qwen 7B   OpenThinker 7B   AceInstruct 7B   bunnycore/Qwen2.5-7B-MixStock-V0.1   bunnycore/Qwen2.5-7B-RRP-1M   open-r1/OpenR1-Qwen-7B   open-thoughts/OpenThinker-7B   nvidia/AceInstruct-7B   bunnycore/Qwen2.5-7B-MixStock-V0.1
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-05-01
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 Qwen2.5 7B MixStock Sce V0.3

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Preview986K / 15.2 GB100
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B V1.1986K / 15.2 GB191
Hush Qwen2.5 7B V1.2986K / 15.2 GB31
Hush Qwen2.5 7B Preview986K / 15.2 GB400
Hush Qwen2.5 7B V1.4986K / 15.2 GB91
Hush Qwen2.5 7B V1.3986K / 15.2 GB182
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen 2.5 7B Exp Sce986K / 15.2 GB72
Qwen2.5 7B MixStock V0.1986K / 15.2 GB113
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3.

Rank the Qwen2.5 7B MixStock Sce V0.3 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