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WukongV2 Mixtral 8x7B V0.1 by RESMPDEV

 »  All LLMs  »  RESMPDEV  »  WukongV2 Mixtral 8x7B V0.1   URL Share it on

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  Autotrain compatible   Conversational Dataset:cognitivecomputations/...   De   En   Endpoints compatible   Es   Fr   It   Mixtral   Moe   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/RESMPDEV/WukongV2-Mixtral-8x7B-V0.1 

WukongV2 Mixtral 8x7B V0.1 Benchmarks

LLME Score: 0.15946
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WukongV2 Mixtral 8x7B V0.1 (RESMPDEV/WukongV2-Mixtral-8x7B-V0.1)
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WukongV2 Mixtral 8x7B V0.1 Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, chatbots
Applications:
text generation
Supported Languages 
fr (high), it (high), de (high), es (high), en (high)
Training Details 
Data Sources:
cognitivecomputations/Dolphin-2.9
Methodology:
Fine-tuning the base Mixtral model
Context Length:
32000
Model Architecture:
Sparse Mixture of Experts
Safety Evaluation 
Ethical Considerations:
Model does not contain any moderation mechanisms.
Input Output 
Input Format:
text input
Accepted Modalities:
text
Output Format:
text
LLM NameWukongV2 Mixtral 8x7B V0.1
Repository 🤗https://huggingface.co/RESMPDEV/WukongV2-Mixtral-8x7B-V0.1 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-09-07
MaintainerRESMPDEV
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesfr it de es en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32003
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/WukongV2-Mixtral-8x7B-V0.1.

Rank the WukongV2 Mixtral 8x7B V0.1 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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