Noromaid V0.1 Mixtral 8x7b V3 GPTQ by TheBloke

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  4-bit Base model:neversleep/noromaid... Base model:quantized:neverslee...   Gptq   Mixtral   Moe   Quantized   Region:us   Safetensors

Noromaid V0.1 Mixtral 8x7b V3 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Noromaid V0.1 Mixtral 8x7b V3 GPTQ (TheBloke/Noromaid-v0.1-mixtral-8x7b-v3-GPTQ)
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Noromaid V0.1 Mixtral 8x7b V3 GPTQ Parameters and Internals

Model Type 
mixtral
Additional Notes 
This model is experimental and has a custom prompting format suitable for specific scenarios like RP and ERP. It has been trained on customized datasets focusing on role-play and uncensorship.
Training Details 
Data Sources:
Aesir 1 and 2, LimaRP-20231109, ToxicDPO-NoWarning, No-robots-ShareGPT
Input Output 
Input Format:
### Instruction: {system_message} ### Input: {prompt} ### Response:
LLM NameNoromaid V0.1 Mixtral 8x7b V3 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Noromaid-v0.1-mixtral-8x7b-v3-GPTQ 
Model NameNoromaid V0.1 Mixtral 8X7B v3
Model CreatorIkariDev and Undi
Base Model(s)  NeverSleep/Noromaid-v0.1-mixtral-8x7b-v3   NeverSleep/Noromaid-v0.1-mixtral-8x7b-v3
Model Size46.7b
Required VRAM23.8 GB
Updated2025-12-17
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Noromaid-v0.1-mixtral-8x7b-v3-GPTQ.

Rank the Noromaid V0.1 Mixtral 8x7b V3 GPTQ 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