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Beyonder 4x7B V3 by aspirina765

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  Autotrain compatible Base model:beowolx/codeninja-1... Base model:merge:beowolx/coden... Base model:merge:mlabonne/alph... Base model:merge:mlabonne/neur... Base model:merge:sanjiwatsuki/... Base model:mlabonne/alphamonar... Base model:mlabonne/neuraldare... Base model:sanjiwatsuki/kunoic... Beowolx/codeninja-1.0-openchat...   Conversational   Endpoints compatible   Frankenmoe   Lazymergekit   Merge   Mergekit   Mixtral   Mlabonne/alphamonarch-7b   Mlabonne/neuraldaredevil-7b   Moe   Region:us   Safetensors Sanjiwatsuki/kunoichi-dpo-v2-7...   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aspirina765/Beyonder-4x7B-v3 

Beyonder 4x7B V3 Benchmarks

LLME Score: 0.17588
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Beyonder 4x7B V3 Parameters and Internals

Model Type 
text generation
Additional Notes 
Beyonder-4x7B-v3 is a Mixture of Experts model, combining multiple smaller models for specialized tasks such as chat assistance, coding, storywriting, and reasoning.
LLM NameBeyonder 4x7B V3
Repository 🤗https://huggingface.co/aspirina765/Beyonder-4x7B-v3 
Base Model(s)  AlphaMonarch 7B   beowolx/CodeNinja-1.0-OpenChat-7B   Kunoichi DPO V2 7B   NeuralDaredevil 7B   mlabonne/AlphaMonarch-7B   beowolx/CodeNinja-1.0-OpenChat-7B   SanjiWatsuki/Kunoichi-DPO-v2-7B   mlabonne/NeuralDaredevil-7B
Model Size24.2b
Required VRAM48.3 GB
Updated2025-06-09
Maintaineraspirina765
Model Typemixtral
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
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16
Beyonder 4x7B V3 (aspirina765/Beyonder-4x7B-v3)

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Note: green Score (e.g. "73.2") means that the model is better than aspirina765/Beyonder-4x7B-v3.

Rank the Beyonder 4x7B V3 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 v20241124
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