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Proximus 2x7B V1 by preemware

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Proximus 2x7B V1 Benchmarks

LLME Score: 0.18619
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Proximus 2x7B V1 Parameters and Internals

LLM NameProximus 2x7B V1
Repository 🤗https://huggingface.co/preemware/Proximus-2x7B-v1 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-08
Maintainerpreemware
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Torch Data Typefloat16
Proximus 2x7B V1 (preemware/Proximus-2x7B-v1)

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Note: green Score (e.g. "73.2") means that the model is better than preemware/Proximus-2x7B-v1.

Rank the Proximus 2x7B V1 Capabilities

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Instruction Following and Task Automation  
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Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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