Qwen 2.5 7B Deep Sky T1 by bunnycore

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Qwen 2.5 7B Deep Sky T1 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.22.

  Merged Model   Arxiv:2306.01708 Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen2.5-7... Base model:novasky-ai/sky-t1-m...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen 2.5 7B Deep Sky T1 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 Deep Sky T1 Parameters and Internals

LLM NameQwen 2.5 7B Deep Sky T1
Repository 🤗https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Sky-T1 
Base Model(s)  bunnycore/Qwen-2.5-7B-Deep-Stock-v5   Sky T1 Mini   bunnycore/Qwen2.5-7B-RRP-1M   bunnycore/Qwen-2.5-7B-Deep-Stock-v5   NovaSky-AI/Sky-T1-mini   bunnycore/Qwen2.5-7B-RRP-1M
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2026-05-19
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 Typefloat16
Errorsreplace

Best Alternatives to Qwen 2.5 7B Deep Sky T1

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 GB41
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/Qwen-2.5-7B-Deep-Sky-T1.

Rank the Qwen 2.5 7B Deep Sky T1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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