OpenMistral MoE by Yash21

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OpenMistral MoE is an open-source language model by Yash21. Features: 7b LLM, VRAM: 48.3GB, Context: 32K, Instruction-Based, HF Score: 66.4, LLM Explorer Score: 0.14, Arc: 64.1, HellaSwag: 84, MMLU: 60.7, TruthfulQA: 54.6, WinoGrande: 76.8, GSM8K: 58.4.

  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Yash21/OpenMistral-MoE 

OpenMistral MoE Benchmarks

OpenMistral MoE (Yash21/OpenMistral-MoE)
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OpenMistral MoE Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
LLM NameOpenMistral MoE
Repository ๐Ÿค—https://huggingface.co/Yash21/OpenMistral-MoE 
Model Size7b
Required VRAM48.3 GB
Updated2024-10-29
MaintainerYash21
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to OpenMistral MoE

Best Alternatives
Context / RAM
Downloads
Likes
Mini Mixtral V0.232K / 25.8 GB64
Multilingual Mistral32K / 93.5 GB7242
Magiq 332K / 37.1 GB203
FNCARL900032K / 48.3 GB210
CollAIborate4x7B32K / 48.7 GB71
Bigstral 12B 32K 8xMoE32K / 163.3 GB72
CollAIborate4x7B32K / 48.7 GB11
OpenMistral MoE32K / 48.3 GB260
...t V0.2 2x7B MoE 6.0bpw H6 EXL232K / 9.9 GB141
Note: green Score (e.g. "73.2") means that the model is better than Yash21/OpenMistral-MoE.

Rank the OpenMistral MoE 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  

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Release v20260328a