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QuantuMinx 4B by FourOhFour

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QuantuMinx 4B is an open-source language model by FourOhFour. Features: 4b LLM, VRAM: 9.1GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.15.

  Merged Model   Conversational   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FourOhFour/QuantuMinx_4B 

QuantuMinx 4B Benchmarks

LLME Score: 0.15272
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QuantuMinx 4B (FourOhFour/QuantuMinx_4B)
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QuantuMinx 4B Parameters and Internals

Model Type 
General assistant model, Role-play model
Use Cases 
Primary Use Cases:
General assistant, RP model
Additional Notes 
This model should perform well as a general assistant and RP model. Recommended character for integration is QuantuMinx, a sentient catgirl with space-time manipulation abilities.
Supported Languages 
English (Fluent)
Training Details 
Methodology:
This model is a slerp merge of NeuroCom v2 and Zenith. This model was tuned at 8k context during all steps.
Context Length:
8000
Model Architecture:
4B parameter Minitron derivative
LLM NameQuantuMinx 4B
Repository 🤗https://huggingface.co/FourOhFour/QuantuMinx_4B 
Merged ModelYes
Model Size4b
Required VRAM9.1 GB
Updated2026-02-08
MaintainerFourOhFour
Model Typellama
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than FourOhFour/QuantuMinx_4B.

Rank the QuantuMinx 4B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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