commit 1f117d3b659a008842b9e006bf88b407eae0fb79 Author: ModelHub XC Date: Mon Aug 17 01:05:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: Alcoft/dnotitia_Smoothie-Qwen3-0.6B-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..5b500ce --- /dev/null +++ b/.gitattributes @@ -0,0 +1,68 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs 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+dnotitia_Smoothie-Qwen3-0.6B_Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q6_K_S.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q6_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q8_K_S.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q8_K_XL.gguf filter=lfs diff=lfs merge=lfs -text +dnotitia_Smoothie-Qwen3-0.6B_Q8_K_XS.gguf filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..185eed4 --- /dev/null +++ b/README.md @@ -0,0 +1,56 @@ +--- +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). \ No newline at end of file diff --git a/dnotitia_Smoothie-Qwen3-0.6B.gguf b/dnotitia_Smoothie-Qwen3-0.6B.gguf new file mode 100644 index 0000000..6051d13 --- /dev/null +++ b/dnotitia_Smoothie-Qwen3-0.6B.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44b790c14bec09bf8ebe05fc8038d37f7baa2b9b0c14a444be7fcc99306c57a2 +size 1198182528 diff --git a/dnotitia_Smoothie-Qwen3-0.6B_F16.gguf b/dnotitia_Smoothie-Qwen3-0.6B_F16.gguf new file mode 100644 index 0000000..3730fc6 --- /dev/null +++ b/dnotitia_Smoothie-Qwen3-0.6B_F16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cbe0dda9949ca461b599938b317051dd2a5fa32d7951425dfb25d95da867235a +size 1198182528 diff --git a/dnotitia_Smoothie-Qwen3-0.6B_Q2_K.gguf 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