Dzakwan MoE 4x7b Beta by dzakwan

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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

Dzakwan MoE 4x7b Beta Benchmarks

Dzakwan MoE 4x7b Beta (dzakwan/dzakwan-MoE-4x7b-Beta)

Dzakwan MoE 4x7b Beta Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, chatbots, programming assistance, storywriting
Primary Use Cases:
text-based assistant, code generation, creative writing
Training Details 
Methodology:
Mixture of Experts using LazyMergekit
Model Architecture:
Mixture of Experts composed of multiple models
Input Output 
Input Format:
chat-like prompt with roles
Accepted Modalities:
text
Output Format:
text
LLM NameDzakwan MoE 4x7b Beta
Repository ๐Ÿค—https://huggingface.co/dzakwan/dzakwan-MoE-4x7b-Beta 
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 VRAM48.4 GB
Updated2025-01-20
Maintainerdzakwan
Model Typemixtral
Model Files  1.9 GB: 1-of-25   2.0 GB: 2-of-25   2.0 GB: 3-of-25   2.0 GB: 4-of-25   2.0 GB: 5-of-25   2.0 GB: 6-of-25   2.0 GB: 7-of-25   2.0 GB: 8-of-25   2.0 GB: 9-of-25   2.0 GB: 10-of-25   2.0 GB: 11-of-25   2.0 GB: 12-of-25   2.0 GB: 13-of-25   2.0 GB: 14-of-25   2.0 GB: 15-of-25   2.0 GB: 16-of-25   2.0 GB: 17-of-25   2.0 GB: 18-of-25   2.0 GB: 19-of-25   2.0 GB: 20-of-25   2.0 GB: 21-of-25   2.0 GB: 22-of-25   2.0 GB: 23-of-25   2.0 GB: 24-of-25   0.5 GB: 25-of-25
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Dzakwan MoE 4x7b Beta Capabilities

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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