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Dracarys 72B Instruct by abacusai

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Dracarys 72B Instruct Benchmarks

MMLU Pro: 49.51
GPQA: 18.79
MUSR: 16.81
BBH: 56.94
IFEval: 78.56 vs 88 (so35)-10.7%
MATH Lvl 5: 35.65
LLME Score: 0.42082
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dracarys 72B Instruct Parameters and Internals

Model Type 
text generation
LLM NameDracarys 72B Instruct
Repository 🤗https://huggingface.co/abacusai/Dracarys-72B-Instruct 
Model Size72b
Required VRAM146 GB
Updated2024-11-20
Maintainerabacusai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.5 GB: 1-of-31   5.0 GB: 2-of-31   4.8 GB: 3-of-31   4.8 GB: 4-of-31   4.8 GB: 5-of-31   5.0 GB: 6-of-31   4.8 GB: 7-of-31   4.8 GB: 8-of-31   4.8 GB: 9-of-31   5.0 GB: 10-of-31   4.8 GB: 11-of-31   4.8 GB: 12-of-31   4.8 GB: 13-of-31   5.0 GB: 14-of-31   4.8 GB: 15-of-31   4.8 GB: 16-of-31   4.8 GB: 17-of-31   5.0 GB: 18-of-31   4.8 GB: 19-of-31   4.8 GB: 20-of-31   4.8 GB: 21-of-31   5.0 GB: 22-of-31   4.8 GB: 23-of-31   4.8 GB: 24-of-31   4.8 GB: 25-of-31   5.0 GB: 26-of-31   4.8 GB: 27-of-31   4.8 GB: 28-of-31   4.8 GB: 29-of-31   3.2 GB: 30-of-31   2.5 GB: 31-of-31
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Dracarys 72B Instruct (abacusai/Dracarys-72B-Instruct)

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EVA Qwen2.5 72B V0.1128K / 146 GB3598
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Qwen2.5 72B Instruct32K / 145.5 GB440313484
Athene V2 Chat32K / 146 GB134589
RYS XLarge32K / 156.3 GB265078
Athene V2 Agent32K / 146 GB67857
Calme 2.1 Qwen2 72B32K / 146 GB500428
Calme 2.2 Qwen2 72B32K / 146 GB25435
MG FinalMix 72B32K / 146.1 GB25544
Note: green Score (e.g. "73.2") means that the model is better than abacusai/Dracarys-72B-Instruct.

Rank the Dracarys 72B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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