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README.md
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title: README
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emoji: 🔥
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colorFrom: purple
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sdk: static
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pinned:
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---
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title: README
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emoji: 🔥
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colorFrom: purple
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colorTo: purple
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sdk: static
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pinned: true
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---
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These are my own quantizations (updated almost daily).
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The difference with normal quantizations is that I quantize the output and embed tensors to f16.
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and the other tensors to 15_k,q6_k or q8_0.
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This creates models that are little or not degraded at all and have a smaller size.
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They run at about 3-6 t/sec on CPU only using llama.cpp
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And obviously faster on computers with potent GPUs
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* [ZeroWw/Yi-1.5-6B-Chat-GGUF](https://huggingface.co/ZeroWw/Yi-1.5-6B-Chat-GGUF)
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* [ZeroWw/DeepSeek-Coder-V2-Lite-Base-GGUF](https://huggingface.co/ZeroWw/DeepSeek-Coder-V2-Lite-Base-GGUF)
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* [ZeroWw/Yi-1.5-9B-32K-GGUF](https://huggingface.co/ZeroWw/Yi-1.5-9B-32K-GGUF)
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* [ZeroWw/aya-23-8B-GGUF](https://huggingface.co/ZeroWw/aya-23-8B-GGUF)
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* [ZeroWw/MixTAO-7Bx2-MoE-v8.1-GGUF](https://huggingface.co/ZeroWw/MixTAO-7Bx2-MoE-v8.1-GGUF)
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* [ZeroWw/Phi-3-medium-128k-instruct-GGUF](https://huggingface.co/ZeroWw/Phi-3-medium-128k-instruct-GGUF)
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* [ZeroWw/Phi-3-mini-128k-instruct-GGUF](https://huggingface.co/ZeroWw/Phi-3-mini-128k-instruct-GGUF)
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* [ZeroWw/Qwen1.5-7B-Chat-GGUF](https://huggingface.co/ZeroWw/Qwen1.5-7B-Chat-GGUF)
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* [ZeroWw/NeuralDaredevil-8B-abliterated-GGUF](https://huggingface.co/ZeroWw/NeuralDaredevil-8B-abliterated-GGUF)
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* [ZeroWw/Mistroll-7B-v2.2-GGUF](https://huggingface.co/ZeroWw/Mistroll-7B-v2.2-GGUF)
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* [ZeroWw/Samantha-Qwen-2-7B-GGUF](https://huggingface.co/ZeroWw/Samantha-Qwen-2-7B-GGUF)
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* [ZeroWw/Meta-Llama-3-8B-Instruct-GGUF](https://huggingface.co/ZeroWw/Meta-Llama-3-8B-Instruct-GGUF)
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* [ZeroWw/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF](https://huggingface.co/ZeroWw/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1-GGUF)
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* [ZeroWw/microsoft_WizardLM-2-7B-GGUF](https://huggingface.co/ZeroWw/microsoft_WizardLM-2-7B-GGUF)
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* [ZeroWw/Mistral-7B-Instruct-v0.3-GGUF](https://huggingface.co/ZeroWw/Mistral-7B-Instruct-v0.3-GGUF)
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