Noromaid V0.1 Mixtral 8x7b Instruct V3 GPTQ by TheBloke

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Noromaid V0.1 Mixtral 8x7b Instruct V3 GPTQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 23.8GB, Context: 32K, License: cc-by-nc-4.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

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

Noromaid V0.1 Mixtral 8x7b Instruct 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 Instruct V3 GPTQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Primary Use Cases:
Role-playing (RP), ERP
Additional Notes 
This model is experimental and includes a modified version of the Alpaca prompting format.
Training Details 
Data Sources:
Aesir 1 and 2, LimaRP-20231109, ToxicDPO-NoWarning, No-robots-ShareGPT
Training Time:
8h (v1) + 8h (v2) + 12h (v3)
Input Output 
Input Format:
Instruction-Input-Response
LLM NameNoromaid V0.1 Mixtral 8x7b Instruct V3 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Noromaid-v0.1-mixtral-8x7b-Instruct-v3-GPTQ 
Model NameNoromaid V0.1 Mixtral 8X7B Instruct v3
Model CreatorIkariDev and Undi
Base Model(s)  NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3   NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
Model Size46.7b
Required VRAM23.8 GB
Updated2026-04-27
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
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-Instruct-v3-GPTQ.

Rank the Noromaid V0.1 Mixtral 8x7b Instruct 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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Release v20260328a