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Qwen3 4B Instruct 2507 SOM MPOA by 0xA50C1A1

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Qwen3 4B Instruct 2507 SOM MPOA is an open-source language model by 0xA50C1A1. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

  Arxiv:2505.09388   Abliterated Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-4b-in...   Conversational   Decensored   Endpoints compatible   Heretic   Instruct   Qwen3   Region:us   Safetensors   Uncensored
Model Card on HF 🤗: https://huggingface.co/0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA 

Qwen3 4B Instruct 2507 SOM MPOA Benchmarks

LLME Score: 0.30333
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Instruct 2507 SOM MPOA (0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA)
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Qwen3 4B Instruct 2507 SOM MPOA Parameters and Internals

LLM NameQwen3 4B Instruct 2507 SOM MPOA
Repository 🤗https://huggingface.co/0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA 
Base Model(s)  Qwen3 4B Instruct 2507   unsloth/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8 GB
Updated2026-04-08
Maintainer0xA50C1A1
Model Typeqwen3
Instruction-BasedYes
Model Files  8.0 GB
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.3.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than 0xA50C1A1/Qwen3-4B-Instruct-2507-SOM-MPOA.

Rank the Qwen3 4B Instruct 2507 SOM MPOA 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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