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Qwen3 4B INST Math by Alelcv27

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Qwen3 4B INST Math is an open-source language model by Alelcv27. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

  4bit   Conversational   En   Endpoints compatible   Instruct   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Alelcv27/Qwen3-4B-INST-Math 

Qwen3 4B INST Math Benchmarks

LLME Score: 0.2944
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B INST Math (Alelcv27/Qwen3-4B-INST-Math)
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Qwen3 4B INST Math Parameters and Internals

LLM NameQwen3 4B INST Math
Repository 🤗https://huggingface.co/Alelcv27/Qwen3-4B-INST-Math 
Base Model(s)  unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit   unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2026-06-03
MaintainerAlelcv27
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the Qwen3 4B INST Math 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  
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Multi-Language Support and Translation  

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