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Qwen3 0.6B GGUF by second-state

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Base model:quantized:qwen/qwen...   Base model:qwen/qwen3-0.6b   Chat   Conversational   En   Endpoints compatible   Gguf   Q2   Quantized   Qwen3   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Qwen3-0.6B-GGUF 

Qwen3 0.6B GGUF Benchmarks

LLME Score: 0.25696
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 0.6B GGUF (second-state/Qwen3-0.6B-GGUF)
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Qwen3 0.6B GGUF Parameters and Internals

LLM NameQwen3 0.6B GGUF
Repository 🤗https://huggingface.co/second-state/Qwen3-0.6B-GGUF 
Model NameQwen3-0.6B
Model CreatorQwen
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM0.3 GB
Updated2025-09-23
Maintainersecond-state
Model Typeqwen3
Model Files  0.3 GB   0.4 GB   0.4 GB   0.4 GB   0.5 GB   0.5 GB   0.5 GB   0.5 GB   0.6 GB   0.5 GB   0.6 GB   0.8 GB   1.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Vocabulary Size151936
Torch Data Typebfloat16

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Qwen3 0.6B GGUF40K / 0.2 GB3825577
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Qwen3 0.6B MLX 8bit40K / 0.6 GB1542
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... Model Era Lora 128 Qwen3 0.6B40K / 1.2 GB130
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Qwen3 0.6B Acot40K / 1.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than second-state/Qwen3-0.6B-GGUF.

Rank the Qwen3 0.6B GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Generation  
Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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