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Llama 3 70B Arimas Story RP V1.5 by ryzen88

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Llama 3 70B Arimas Story RP V1.5 Benchmarks

LLME Score: 0.21656
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 70B Arimas Story RP V1.5 Parameters and Internals

Additional Notes 
Feedback about the model's behavior is welcome. The model in V1 was based on a 'giraffe,' which lost long context capabilities, leading to a switch back to a gradient base in V1.5.
Training Details 
Methodology:
breadcrumbs_ties merge method
LLM NameLlama 3 70B Arimas Story RP V1.5
Repository 🤗https://huggingface.co/ryzen88/Llama-3-70b-Arimas-story-RP-V1.5 
Model Size70b
Required VRAM141.2 GB
Updated2024-11-21
Maintainerryzen88
Model Typellama
Instruction-BasedYes
Model Files  9.8 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.8 GB: 14-of-15   3.4 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 70B Arimas Story RP V1.5 (ryzen88/Llama-3-70b-Arimas-story-RP-V1.5)

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Note: green Score (e.g. "73.2") means that the model is better than ryzen88/Llama-3-70b-Arimas-story-RP-V1.5.

Rank the Llama 3 70B Arimas Story RP V1.5 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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