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Proximus 2x7B V1 by preemware

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Anthonylx/prox-mistralhermes-7...   Autotrain compatible Beowolx/mistralhermes-codepro-...   Conversational   Endpoints compatible   Lazymergekit   License:apache-2.0   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow

Rank the Proximus 2x7B V1 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  
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  
Proximus 2x7B V1 (preemware/Proximus-2x7B-v1)

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HF Rank
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...7Bx2 MoE Ko DPO Adapter Attach76.0932K / 25.8 GB2290
Note: green Score (e.g. "73.2") means that the model is better than preemware/Proximus-2x7B-v1.

Proximus 2x7B V1 Parameters and Internals

LLM NameProximus 2x7B V1
RepositoryOpen on ๐Ÿค— 
Model Size12.9b
Required VRAM25.8 GB
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32002
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003