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MixtralOrochi8x7B by smelborp

 »  All LLMs  »  smelborp  »  MixtralOrochi8x7B   URL Share it on

  1699   
  Autotrain compatible   En   Endpoints compatible   High-intelligence   Mixtral   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/smelborp/MixtralOrochi8x7B 

MixtralOrochi8x7B Benchmarks

ARC: 70.31 vs 96.7 (so35)-27.3%
HellaSwag: 86.1 vs 95.3 (gpt4)-9.7%
MMLU: 70.13 vs 88.3 (so35)-20.6%
TruthfulQA: 63.99 vs 59 (gpt4)8.5%
WinoGrande: 79.87 vs 87.5 (gpt4)-8.7%
GSM8K: 17.29 vs 96.4 (so35)-82.1%
LLME Score: 0.16222
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MixtralOrochi8x7B (smelborp/MixtralOrochi8x7B)
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MixtralOrochi8x7B Parameters and Internals

Model Type 
high-intelligence, uncensored
Use Cases 
Primary Use Cases:
Uncensored Content, High Intelligence
Considerations:
Due to its uncensored nature, Orochi is best utilized in environments where intelligent, unrestricted dialogue is necessary.
Additional Notes 
Orochi is a cutting-edge language model based on the Mixtral architecture developed by Mistral. It's a sophisticated merge of several prominent models designed to provide highly intelligent responses unrestricted by content limitations.
Supported Languages 
languages (en), proficiency ()
Training Details 
Methodology:
mergekit with the DARE merge method
Model Architecture:
Mixtral, a Mixture of Experts model
Responsible Ai Considerations 
Mitigation Strategies:
Users are encouraged to implement their own content moderation or alignment strategies.
LLM NameMixtralOrochi8x7B
Repository 🤗https://huggingface.co/smelborp/MixtralOrochi8x7B 
Model Size46.7b
Required VRAM93.5 GB
Updated2025-09-16
Maintainersmelborp
Model Typemixtral
Model Files  10.0 GB: 1-of-10   10.0 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   9.9 GB: 9-of-10   3.6 GB: 10-of-10
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the MixtralOrochi8x7B

Model
Likes
Downloads
VRAM
MixtralOrochi8x7B GGUF157015 GB
MixtralOrochi8x7B GPTQ7723 GB
MixtralOrochi8x7B AWQ2324 GB

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Note: green Score (e.g. "73.2") means that the model is better than smelborp/MixtralOrochi8x7B.

Rank the MixtralOrochi8x7B 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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