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Apollo V2 32B by rootxhacker

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rootxhacker/Apollo_v2-32B 

Apollo V2 32B Benchmarks

MMLU Pro: 54.1
GPQA: 17.11
MUSR: 23.82
BBH: 58.27
IFEval: 42.8 vs 88 (so35)-51.4%
MATH Lvl 5: 42.75
LLME Score: 0.33702
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Apollo V2 32B (rootxhacker/Apollo_v2-32B)
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Apollo V2 32B Parameters and Internals

LLM NameApollo V2 32B
Repository 🤗https://huggingface.co/rootxhacker/Apollo_v2-32B 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2025-07-14
Maintainerrootxhacker
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   5.0 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than rootxhacker/Apollo_v2-32B.

Rank the Apollo V2 32B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241124
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