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NemoMix Unleashed EXL2 4bpw by Statuo

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  4-bit   Autotrain compatible   Endpoints compatible   Exl2   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Statuo/NemoMix-Unleashed-EXL2-4bpw 

NemoMix Unleashed EXL2 4bpw Benchmarks

LLME Score: 0.19276
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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NemoMix Unleashed EXL2 4bpw Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Role-play, Storytelling
Additional Notes 
This model was merged using pre-trained language models. Credits to contributing models.
Training Details 
Methodology:
Merge using della_linear method
Input Output 
Performance Tips:
Temperature 1.0-1.25, 0.1 Top A or 0.01-0.1 Min P, 0.8/1.75/2/0 DRY
LLM NameNemoMix Unleashed EXL2 4bpw
Repository 🤗https://huggingface.co/Statuo/NemoMix-Unleashed-EXL2-4bpw 
Required VRAM7.3 GB
Updated2025-06-09
MaintainerStatuo
Model Typemistral
Model Files  7.3 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16
NemoMix Unleashed EXL2 4bpw (Statuo/NemoMix-Unleashed-EXL2-4bpw)

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Note: green Score (e.g. "73.2") means that the model is better than Statuo/NemoMix-Unleashed-EXL2-4bpw.

Rank the NemoMix Unleashed EXL2 4bpw 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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