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Model: Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF
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2026-08-17 01:05:17 +08:00
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---
base_model:
- dnotitia/Smoothie-Qwen3-0.6B
pipeline_tag: text-generation
language:
- en
license: apache-2.0
tags:
- dnotitia
- nlp
- llm
- conversation
- chat
- reasoning
---
|Quant|Size|Description|
|---|---|---|
|[Q2_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q2_K_XXS.gguf)|209.49 MB|Not recommended for most people. Extremelly low quality.|
|[Q2_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q2_K_XS.gguf)|209.49 MB|Not recommended for most people. Very low quality.|
|[Q2_K](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q2_K.gguf)|209.49 MB|Not recommended for most people. Very low quality.|
|[Q2_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q2_K_L.gguf)|318.45 MB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q2_K for everything else. Very low quality.|
|[Q2_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q2_K_XL.gguf)|457.55 MB|Not recommended for most people. Uses F16 for output and embedding, and Q2_K for everything else. Very low quality.|
|[Q3_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_XXS.gguf)|250.15 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.|
|[Q3_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_XS.gguf)|250.15 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Very low quality.|
|[Q3_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_S.gguf)|250.15 MB|Not recommended for most people. Prefer any bigger Q3_K quantization. Low quality.|
|[Q3_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_M.gguf)|273.09 MB|Not recommended for most people. Low quality.|
|[Q3_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_L.gguf)|293.46 MB|Not recommended for most people. Low quality.|
|[Q3_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_XL.gguf)|387.36 MB|Not recommended for most people. Uses Q8_0 for output and embedding, and Q3_K_L for everything else. Low quality.|
|[Q3_K_XXL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q3_K_XXL.gguf)|526.46 MB|Not recommended for most people. Uses F16 for output and embedding, and Q3_K_L for everything else. Low quality.|
|[Q4_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q4_K_XS.gguf)|327.26 MB|Lower quality than Q4_K_S.|
|[Q4_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q4_K_S.gguf)|327.26 MB|Recommended. Slightly low quality.|
|[Q4_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q4_K_M.gguf)|340.07 MB|Recommended. Decent quality for most use cases.|
|[Q4_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q4_K_L.gguf)|414.26 MB|Recommended. Uses Q8_0 for output and embedding, and Q4_K_M for everything else. Decent quality.|
|[Q4_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q4_K_XL.gguf)|553.36 MB|Recommended. Uses F16 for output and embedding, and Q4_K_M for everything else. Decent quality.|
|[Q5_K_XXS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_XXS.gguf)|396.68 MB|Lower quality than Q5_K_S.|
|[Q5_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_XS.gguf)|396.68 MB|Lower quality than Q5_K_S.|
|[Q5_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_S.gguf)|396.68 MB|Recommended. High quality.|
|[Q5_K_M](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_M.gguf)|404.12 MB|Recommended. High quality.|
|[Q5_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_L.gguf)|459.76 MB|Recommended. Uses Q8_0 for output and embedding, and Q5_K_M for everything else. High quality.|
|[Q5_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q5_K_XL.gguf)|598.86 MB|Recommended. Uses F16 for output and embedding, and Q5_K_M for everything else. High quality.|
|[Q6_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q6_K_S.gguf)|472.17 MB|Lower quality than Q6_K.|
|[Q6_K](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q6_K.gguf)|472.17 MB|Recommended. Very high quality.|
|[Q6_K_L](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q6_K_L.gguf)|508.11 MB|Recommended. Uses Q8_0 for output and embedding, and Q6_K for everything else. Very high quality.|
|[Q6_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q6_K_XL.gguf)|647.21 MB|Recommended. Uses F16 for output and embedding, and Q6_K for everything else. Very high quality.|
|[Q8_K_XS](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q8_K_XS.gguf)|609.82 MB|Lower quality than Q8_0.|
|[Q8_K_S](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q8_K_S.gguf)|609.82 MB|Lower quality than Q8_0.|
|[Q8_0](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q8_0.gguf)|609.82 MB|Recommended. Quality almost like F16.|
|[Q8_K_XL](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_Q8_K_XL.gguf)|748.93 MB|Recommended. Uses F16 for output and embedding, and Q8_0 for everything else. Quality almost like F16.|
|[F16](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B_F16.gguf)|1.12 GB|Not recommended. Overkill. Prefer Q8_0.|
|[ORIGINAL (BF16)](https://huggingface.co/Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF/resolve/main/dnotitia_Smoothie-Qwen3-0.6B.gguf)|1.12 GB|Not recommended. Overkill. Prefer Q8_0.|
---
Quantized using [TAO71-AI AutoQuantizer](https://github.com/TAO71-AI/AutoQuantizer).
You can check out the original model card [here](https://huggingface.co/dnotitia/Smoothie-Qwen3-0.6B).

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