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Explore AI models 85004
HelpingAI_Helpingai3-raw-GGUF
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HelpingAI2-9B-GGUF
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HemmingwayAI_Hemmingway-1.5-GGUF
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Hercules-5.0-Qwen2-7B-GGUF
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Hermes-2-Pro-Llama-3-8B-GGUF
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Hermes-2-Pro-Mistral-10.7B-GGUF
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Hermes-2-Pro-Mistral-7B-GGUF
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Hermes-2-Theta-Llama-3-70B-GGUF
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Hermes-2-Theta-Llama-3-8B-GGUF
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Hermes-3-Llama-3.1-405B-GGUF
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Hermes-3-Llama-3.1-70B-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。
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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Hermes-3-Llama-3.1-8B-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. Some say that this improves the quality, others don't notice any difference. If you use these models PLEASE COMMENT with your findings. I would like feedback that these are actually used and useful so I don't keep uploading quants no one is using. 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:
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. Some say that this improves the quality, others don't notice any difference. If you use these models PLEASE COMMENT with your findings. I would like feedback that these are actually used and useful so I don't keep uploading quants no one is using. 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:
Hermes-3-Llama-3.2-3B-GGUF
bartowskiAll quants made using imatrix option with dataset from here 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:
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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hkust-nlp_llama3.1-8b_codeio_pp-GGUF
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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。
Homer-v1.0-Qwen2.5-72B-GGUF
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HuatuoGPT-o1-70B-GGUF
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HuatuoGPT-o1-72B-GGUF
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HuatuoGPT-o1-72B-v0.1-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。
HuatuoGPT-o1-7B-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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