Q25-1.5B-VeoLu-GGUF
bartowski基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗DISCOVER & COMPARE
Explore AI models 84991
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗qihoo360_TinyR1-32B-Preview-GGUF
bartowski基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗QuixiAI_Ina-v11.1-GGUF
bartowski基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗QVQ-72B-Preview-GGUF
bartowski基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen_Qwen2.5-VL-32B-Instruct-GGUF
bartowskiSome of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen2.5-VL-32B-Instruct-Q8_0) or download them all in place (./)
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View details ↗Qwen_Qwen2.5-VL-72B-Instruct-GGUF
bartowskiSome of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen2.5-VL-72B-Instruct-Q8_0) or download them all in place (./)
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View details ↗Qwen_Qwen2.5-VL-7B-Instruct-GGUF
bartowskiSome of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen2.5-VL-7B-Instruct-Q8_0) or download them all in place (./)
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View details ↗Qwen_Qwen3-0.6B-GGUF
bartowskiAll quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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View details ↗Qwen_Qwen3-1.7B-GGUF
bartowskiAll quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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View details ↗Qwen_Qwen3-14B-GGUF
bartowskiAll quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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Price not verifiedCheck multimodal and channel pricing separately
View details ↗Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen3-235B-A22B-Instruct-2507-Q8_0) or download them all in place (./)
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Price not verifiedCheck multimodal and channel pricing separately
View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen_Qwen3-30B-A3B-GGUF
bartowskiAll quants made using imatrix option with dataset from here (augmented with extra synthetic data I will post shortly) Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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Price not verifiedCheck multimodal and channel pricing separately
View details ↗All quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
Input Text→ Output Text
Price not verifiedCheck multimodal and channel pricing separately
View details ↗Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen3-30B-A3B-Thinking-2507-Q8_0) or download them all in place (./)
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View details ↗Qwen_Qwen3-32B-GGUF
bartowskiSome of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.
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View details ↗Qwen_Qwen3-4B-GGUF
bartowskiAll quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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View details ↗Qwen_Qwen3-4B-Instruct-2507-GGUF
bartowskiAll quants made using imatrix option with dataset from here Run them directly with llama.cpp, or any other llama.cpp based project Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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Price not verifiedCheck multimodal and channel pricing separately
View details ↗Qwen_Qwen3-4B-Thinking-2507-GGUF
bartowskiSome of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to. If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run: You can either specify a new local-dir (Qwen_Qwen3-4B-Thinking-2507-Q8_0) or download them all in place (./)
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View details ↗Qwen_Qwen3.5-0.8B-GGUF
bartowskiAll quants made using imatrix option with dataset from here - llama.cpp - ramalama - LM Studio - koboldcpp - Jan AI - Text Generation Web UI - LoLLMs Note: if it's a newly supported model, you may need to wait for an update from the developers.
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