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Noromaid V0.4 Mixtral Instruct 8x7b Zloss by NeverSleep

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Noromaid V0.4 Mixtral Instruct 8x7b Zloss is an open-source language model by NeverSleep. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: cc-by-nc-4.0, MoE, Instruction-Based, HF Score: 73.2, LLM Explorer Score: 0.12, Arc: 70.5, HellaSwag: 87.9, MMLU: 71.3, TruthfulQA: 66.5, WinoGrande: 81.7, GSM8K: 61.5.

  Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss 

Noromaid V0.4 Mixtral Instruct 8x7b Zloss Benchmarks

ARC: 70.48 vs 96.7 (so35)-27.1%
HellaSwag: 87.94 vs 95.3 (gpt4)-7.7%
MMLU: 71.27 vs 88.3 (so35)-19.3%
TruthfulQA: 66.45 vs 59 (gpt4)12.6%
WinoGrande: 81.69 vs 87.5 (gpt4)-6.6%
GSM8K: 61.49 vs 96.4 (so35)-36.2%
LLME Score: 0.12476
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 (NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss)
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Noromaid V0.4 Mixtral Instruct 8x7b Zloss Parameters and Internals

Model Type 
Chatml Prompting
Additional Notes 
This model is experimental and suitable for RP and ERP. It was modified using a script to merge with less weight, resulting in the exclusion of the special Chatml token.
Training Details 
Data Sources:
Aesir 1, 2 & 3 modified, LimaRP-20231109, ToxicQAFinal, No-robots-ShareGPT
Methodology:
The model uses Chatml prompting format without the special token due to merging technique.
Input Output 
Input Format:
Chatml
Accepted Modalities:
text
Output Format:
Chatml
LLM NameNoromaid V0.4 Mixtral Instruct 8x7b Zloss
Repository 🤗https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss 
Model Size46.7b
Required VRAM93.6 GB
Updated2026-03-30
MaintainerNeverSleep
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Noromaid V0.4 Mixtral Instruct 8x7b Zloss

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VRAM
...xtral Instruct 8x7b Zloss GGUF1988017 GB
...xtral Instruct 8x7b Zloss GPTQ22023 GB
...ixtral Instruct 8x7b Zloss AWQ2824 GB

Best Alternatives to Noromaid V0.4 Mixtral Instruct 8x7b Zloss

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Mixtral 8x7B Instruct V0.132K / 93.6 GB4629634650
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Merge Mixtral Prometheus 8x7B32K / 91.9 GB172
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB123322
Notux 8x7b V132K / 93.6 GB29164
BagelMIsteryTour V2 8x7B32K / 93.5 GB11317
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB41251235
Sage Ft Mixtral 8x7b32K / 90 GB1324
Note: green Score (e.g. "73.2") means that the model is better than NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss.

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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