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Qwen3 4B Self Thinking 16bit by uberkie

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Qwen3 4B Self Thinking 16bit is an open-source language model by uberkie. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.31.

  16bit   4-bit   Agent Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think...   Bitsandbytes   Conversational Dataset:uberkie/claude-4.5-opu... Dataset:uberkie/reasoning clas...   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Self-think   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/uberkie/qwen3-4B-self-thinking-16bit 

Qwen3 4B Self Thinking 16bit Benchmarks

LLME Score: 0.30732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Self Thinking 16bit (uberkie/qwen3-4B-self-thinking-16bit)
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Qwen3 4B Self Thinking 16bit Parameters and Internals

LLM NameQwen3 4B Self Thinking 16bit
Repository 🤗https://huggingface.co/uberkie/qwen3-4B-self-thinking-16bit 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-04-11
Maintaineruberkie
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Quantization Type16bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than uberkie/qwen3-4B-self-thinking-16bit.

Rank the Qwen3 4B Self Thinking 16bit 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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