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Qwen2.5 7B Cabs V0.3 by gz987

 »  All LLMs  »  gz987  »  Qwen2.5 7B Cabs V0.3   URL Share it on

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Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Instruct   Merge   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3 

Qwen2.5 7B Cabs V0.3 Benchmarks

MMLU Pro: 37.8
GPQA: 7.61
MUSR: 15.24
BBH: 35.96
IFEval: 75.7 vs 88 (so35)-14%
MATH Lvl 5: 49.32
LLME Score: 0.3702
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 Cabs V0.3 (gz987/qwen2.5-7b-cabs-v0.3)
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Qwen2.5 7B Cabs V0.3 Parameters and Internals

LLM NameQwen2.5 7B Cabs V0.3
Repository 🤗https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-06-17
Maintainergz987
Model Typeqwen2
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   5.3 GB: 2-of-2
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB1150717329
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Qwen2.5 7B Instruct 1M986K / 15.2 GB15652
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB150
Note: green Score (e.g. "73.2") means that the model is better than gz987/qwen2.5-7b-cabs-v0.3.

Rank the Qwen2.5 7B Cabs 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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