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Qwentile2.5 32B Instruct by maldv

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  Autotrain compatible Base model:aicloser/qwen2.5-32... Base model:finetune:aicloser/q...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maldv/Qwentile2.5-32B-Instruct 

Qwentile2.5 32B Instruct Benchmarks

MMLU Pro: 54.21
GPQA: 17.9
MUSR: 19.96
BBH: 57.21
IFEval: 73.93 vs 88 (so35)-16%
MATH Lvl 5: 38.07
LLME Score: 0.43701
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwentile2.5 32B Instruct (maldv/Qwentile2.5-32B-Instruct)

Qwentile2.5 32B Instruct Parameters and Internals

LLM NameQwentile2.5 32B Instruct
Repository 🤗https://huggingface.co/maldv/Qwentile2.5-32B-Instruct 
Base Model(s)  Qwen/Qwen2.5-32B   AiCloser/Qwen2.5-32B-AGI   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2   TheBeagle V2beta 32B MGS   huihui-ai/Qwen2.5-32B-Instruct-abliterated   QwQ 32B Preview Abliterated   QwQ 32B Preview   rombodawg/Rombos-LLM-V2.5-Qwen-32b   nbeerbower/Qwen2.5-Gutenberg-Doppel-32B   Qwen/Qwen2.5-32B   AiCloser/Qwen2.5-32B-AGI   EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2   fblgit/TheBeagle-v2beta-32B-MGS   huihui-ai/Qwen2.5-32B-Instruct-abliterated   huihui-ai/QwQ-32B-Preview-abliterated   Qwen/QwQ-32B-Preview   rombodawg/Rombos-LLM-V2.5-Qwen-32b   nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
Model Size32b
Required VRAM127.9 GB
Updated2025-02-05
Maintainermaldv
Model Typeqwen2
Instruction-BasedYes
Model Files  6.3 GB: 1-of-17   7.8 GB: 2-of-17   7.8 GB: 3-of-17   7.8 GB: 4-of-17   7.8 GB: 5-of-17   7.8 GB: 6-of-17   7.8 GB: 7-of-17   7.8 GB: 8-of-17   7.8 GB: 9-of-17   7.8 GB: 10-of-17   7.8 GB: 11-of-17   7.8 GB: 12-of-17   7.8 GB: 13-of-17   7.8 GB: 14-of-17   7.8 GB: 15-of-17   7.8 GB: 16-of-17   4.6 GB: 17-of-17
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rank the Qwentile2.5 32B Instruct 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  
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Multi-Language Support and Translation  

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