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Qwen3 4B GGUF by second-state

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Qwen3 4B GGUF is an open-source language model by second-state. Features: 4b LLM, VRAM: 1.7GB, Context: 40K, License: other, Quantized, LLM Explorer Score: 0.2.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-4b   Chat   Conversational   En   Endpoints compatible   Gguf   Q2   Quantized   Qwen3   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Qwen3-4B-GGUF 

Qwen3 4B GGUF Benchmarks

LLME Score: 0.20271
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B GGUF (second-state/Qwen3-4B-GGUF)
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Qwen3 4B GGUF Parameters and Internals

LLM NameQwen3 4B GGUF
Repository 🤗https://huggingface.co/second-state/Qwen3-4B-GGUF 
Model NameQwen3-4B
Model CreatorQwen
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM1.7 GB
Updated2026-04-04
Maintainersecond-state
Model Typeqwen3
Model Files  1.7 GB   2.2 GB   2.1 GB   1.9 GB   2.4 GB   2.5 GB   2.4 GB   2.8 GB   2.9 GB   2.8 GB   3.3 GB   4.3 GB   8.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen3ForCausalLM
Licenseother
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

Best Alternatives to Qwen3 4B GGUF

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Context / RAM
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...wen3 4B Toolcalling Gguf Codex256K / 4.3 GB723051
...B Toolcall Gguf Llamacpp Codex256K / 4.3 GB6126
...wen3 4B Thinking 2507 Hermes 3256K / 8.1 GB1053
Qwen3 4B Tcomanr Merge V2.2256K / 8 GB272
Qwen3 4B Tcomanr Merge V2256K / 8 GB212
Qwen3 4B 128K GGUF128K / 1.1 GB112027
Qwen3 4B GGUF40K / 1.1 GB65594209
Qwen3 Hermes 4B40K / 8.1 GB533
Qwen3 4B Self Thinking 16bit256K / 8.1 GB19630
...Instruct 2507 Unsloth Bnb 4bit256K / 3.5 GB18992014
Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen3-4B-GGUF.

Rank the Qwen3 4B GGUF 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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