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OpenMistral MoE by Yash21

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

OpenMistral MoE Benchmarks

ARC: 64.08 vs 96.7 (so35)-33.7%
HellaSwag: 83.99 vs 95.3 (gpt4)-11.9%
MMLU: 60.69 vs 88.3 (so35)-31.3%
TruthfulQA: 54.57 vs 59 (gpt4)-7.5%
WinoGrande: 76.8 vs 87.5 (gpt4)-12.2%
GSM8K: 58.38 vs 96.4 (so35)-39.4%
LLME Score: 0.19243
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenMistral MoE (Yash21/OpenMistral-MoE)

OpenMistral MoE Parameters and Internals

Model Type 
text-generation
Input Output 
Accepted Modalities:
text
LLM NameOpenMistral MoE
Repository 🤗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
Multilingual Mistral32K / 93.5 GB12332
Mini Mixtral V0.232K / 25.8 GB574
Magiq 332K / 37.1 GB73
FNCARL900032K / 48.3 GB90
Bigstral 12B 32K 8xMoE32K / 163.3 GB52
CollAIborate4x7B32K / 48.7 GB51
CollAIborate4x7B32K / 48.7 GB11
OpenMistral MoE32K / 48.3 GB480
...t V0.2 2x7B MoE 6.0bpw H6 EXL232K / 9.9 GB91
Note: green Score (e.g. "73.2") means that the model is better than Yash21/OpenMistral-MoE.

Rank the OpenMistral MoE Capabilities

🆘 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! 🌟

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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