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Lytta2.5 32B Instruct by maldv

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  Autotrain compatible Base model:finetune:sao10k/32b... Base model:sao10k/32b-qwen2.5-...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maldv/Lytta2.5-32B-Instruct 

Lytta2.5 32B Instruct Benchmarks

MMLU Pro: 44.98
GPQA: 2.24
MUSR: 4.97
BBH: 37.03
IFEval: 25.08 vs 88 (so35)-71.5%
MATH Lvl 5: 19.64
LLME Score: 0.33623
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lytta2.5 32B Instruct (maldv/Lytta2.5-32B-Instruct)

Lytta2.5 32B Instruct Parameters and Internals

LLM NameLytta2.5 32B Instruct
Repository 🤗https://huggingface.co/maldv/Lytta2.5-32B-Instruct 
Base Model(s)  maldv/Qwentile2.5-32B-Instruct   prnshv/ORANSight_Qwen_32B_Instruct   crestf411/Q2.5-32B-Slush   allura-org/Qwen2.5-32b-RP-Ink   Sao10K/32B-Qwen2.5-Kunou-v1   QwQ 32B Preview Abliterated   ...s Horizon AI Japanese Base 32B   maldv/Qwentile2.5-32B-Instruct   prnshv/ORANSight_Qwen_32B_Instruct   crestf411/Q2.5-32B-Slush   allura-org/Qwen2.5-32b-RP-Ink   Sao10K/32B-Qwen2.5-Kunou-v1   huihui-ai/QwQ-32B-Preview-abliterated   Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B
Model Size32b
Required VRAM65.5 GB
Updated2025-01-21
Maintainermaldv
Model Typeqwen2
Instruction-BasedYes
Model Files  3.5 GB: 1-of-17   4.3 GB: 2-of-17   3.9 GB: 3-of-17   3.9 GB: 4-of-17   3.9 GB: 5-of-17   3.9 GB: 6-of-17   3.9 GB: 7-of-17   3.9 GB: 8-of-17   3.9 GB: 9-of-17   3.9 GB: 10-of-17   3.9 GB: 11-of-17   3.9 GB: 12-of-17   3.9 GB: 13-of-17   3.9 GB: 14-of-17   3.9 GB: 15-of-17   3.9 GB: 16-of-17   3.1 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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Note: green Score (e.g. "73.2") means that the model is better than maldv/Lytta2.5-32B-Instruct.

Rank the Lytta2.5 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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