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MixtralOrochi8x7B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:smelborp/... Base model:smelborp/mixtraloro...   En   High-intelligence   Mixtral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/TheBloke/MixtralOrochi8x7B-AWQ 

MixtralOrochi8x7B AWQ Benchmarks

LLME Score: 0.12852
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MixtralOrochi8x7B AWQ (TheBloke/MixtralOrochi8x7B-AWQ)
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MixtralOrochi8x7B AWQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Considerations:
Due to its uncensored nature, Orochi is best utilized in environments where intelligent, unrestricted dialogue is necessary. Users are encouraged to implement their own content moderation or alignment strategies appropriate for their use case.
Additional Notes 
Orochi is a cutting-edge language model based on the Mixtral architecture developed by Mistral. It represents a sophisticated merge of several prominent models, including Mixtral instruct, Noromaid, OpenBuddy, and several others, using mergekit with the DARE merge method. This model aims to provide highly intelligent responses unrestricted by content limitations.
Supported Languages 
en (proficient)
Input Output 
Input Format:
{prompt}
LLM NameMixtralOrochi8x7B AWQ
Repository 🤗https://huggingface.co/TheBloke/MixtralOrochi8x7B-AWQ 
Model NameMixtralOrochi8X7B
Model CreatorSmelborp Bumblechump
Base Model(s)  MixtralOrochi8x7B   smelborp/MixtralOrochi8x7B
Model Size6.5b
Required VRAM24.7 GB
Updated2025-09-16
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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

Rank the MixtralOrochi8x7B AWQ 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 v20241124
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