Mistral Small 22B ArliAI RPMax V1.1 by ArliAI

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  Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Small 22B ArliAI RPMax V1.1 Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Mistral Small 22B ArliAI RPMax V1.1 Parameters and Internals

Model Type 
Natural Language Processing, Creative Writing, Role-playing
Use Cases 
Applications:
Creative Writing, Role-playing Scenarios
Training Details 
Context Length:
8192
Training Time:
Approximately 4 days on 2x3090Ti
Hardware Used:
2x3090Ti
Input Output 
Input Format:
Mistral Instruct Format
LLM NameMistral Small 22B ArliAI RPMax V1.1
Repository ๐Ÿค—https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1 
Model Size22b
Required VRAM44.7โ€ฏGB
Updated2025-01-05
MaintainerArliAI
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   5.0 GB: 9-of-9
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.45.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1.

Rank the Mistral Small 22B ArliAI RPMax V1.1 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227