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Dalio Io 30B Cp1500 by Jellywibble

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Dalio Io 30B Cp1500 is an open-source language model by Jellywibble. Features: 30b LLM, VRAM: 121.7GB, Context: 2K, LLM Explorer Score: 0.05.

  Autotrain compatible   Endpoints compatible   Opt   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Jellywibble/dalio-io-30b-cp1500 

Dalio Io 30B Cp1500 Benchmarks

LLME Score: 0.04527
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dalio Io 30B Cp1500 (Jellywibble/dalio-io-30b-cp1500)
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Dalio Io 30B Cp1500 Parameters and Internals

LLM NameDalio Io 30B Cp1500
Repository 🤗https://huggingface.co/Jellywibble/dalio-io-30b-cp1500 
Model Size30b
Required VRAM121.7 GB
Updated2025-03-13
MaintainerJellywibble
Model Typeopt
Model Files  9.7 GB: 1-of-13   9.9 GB: 2-of-13   9.9 GB: 3-of-13   9.9 GB: 4-of-13   9.9 GB: 5-of-13   9.9 GB: 6-of-13   9.9 GB: 7-of-13   9.9 GB: 8-of-13   9.9 GB: 9-of-13   9.9 GB: 10-of-13   9.9 GB: 11-of-13   9.9 GB: 12-of-13   3.1 GB: 13-of-13
Model ArchitectureOPTForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.25.0.dev0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token</s>
End of Sentence Token</s>
Unk Token</s>
Vocabulary Size50265
Torch Data Typefloat32
Activation Functionrelu
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Jellywibble/dalio-io-30b-cp1500.

Rank the Dalio Io 30B Cp1500 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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