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JupiterINEX12 12B MoE by allknowingroger

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Allknowingroger/jupitermerge-7... Allknowingroger/rasgullainex12...   Autotrain compatible Base model:allknowingroger/jup... Base model:allknowingroger/ras... Base model:merge:allknowingrog... Base model:merge:allknowingrog...   Conversational   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/JupiterINEX12-12B-MoE 

JupiterINEX12 12B MoE Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 88.58 vs 95.3 (gpt4)-7.1%
MMLU: 65.02 vs 88.3 (so35)-26.4%
TruthfulQA: 72.37 vs 59 (gpt4)22.7%
WinoGrande: 84.06 vs 87.5 (gpt4)-3.9%
GSM8K: 71.72 vs 96.4 (so35)-25.6%
LLME Score: 0.18683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
JupiterINEX12 12B MoE (allknowingroger/JupiterINEX12-12B-MoE)

JupiterINEX12 12B MoE Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is created using the LazyMergekit for a custom mixture of experts approach.
Input Output 
Input Format:
chat messages
Accepted Modalities:
text
Output Format:
generated text
LLM NameJupiterINEX12 12B MoE
Repository 🤗https://huggingface.co/allknowingroger/JupiterINEX12-12B-MoE 
Base Model(s)  JupiterMerge 7B Slerp   RasGullaINEX12 7B Slerp   allknowingroger/JupiterMerge-7B-slerp   allknowingroger/RasGullaINEX12-7B-slerp
Model Size7b
Required VRAM25.8 GB
Updated2025-02-05
Maintainerallknowingroger
Model Typemixtral
Model Files  1.9 GB: 1-of-13   2.0 GB: 2-of-13   2.0 GB: 3-of-13   2.0 GB: 4-of-13   2.0 GB: 5-of-13   2.0 GB: 6-of-13   2.0 GB: 7-of-13   2.0 GB: 8-of-13   2.0 GB: 9-of-13   2.0 GB: 10-of-13   2.0 GB: 11-of-13   2.0 GB: 12-of-13   1.9 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/JupiterINEX12-12B-MoE.

Rank the JupiterINEX12 12B 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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Release v20241227
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