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Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ   URL Share it on

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Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: cc-by-nc-4.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:neversleep/noromaid... Base model:quantized:neverslee...   Conversational   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ 

Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ Benchmarks

LLME Score: 0.11254
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ (TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ)
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Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ Parameters and Internals

LLM NameNoromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ
Repository 🤗https://huggingface.co/TheBloke/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ 
Model NameNoromaid V0.4 Mixtral Instruct 8X7B ZLoss
Model CreatorNeverSleep
Base Model(s)  NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss   NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
Model Size46.7b
Required VRAM24.7 GB
Updated2026-03-23
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
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/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-AWQ.

Rank the Noromaid V0.4 Mixtral Instruct 8x7b Zloss AWQ Capabilities

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Instruction Following and Task Automation  
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