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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: true
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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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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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---
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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).
|
| 11 |
The difference with normal quantizations is that I quantize the output and embed tensors to f16.
|
|
|
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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/Llama-3-8B-Instruct-Gradient-1048k-GGUF](https://huggingface.co/ZeroWw/Llama-3-8B-Instruct-Gradient-1048k-GGUF)
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* [ZeroWw/Pythia-Chat-Base-7B-GGUF](https://huggingface.co/ZeroWw/Pythia-Chat-Base-7B-GGUF)
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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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