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auto-patch README.md
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README.md
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@@ -33,6 +33,7 @@ more details, including on how to concatenate multi-part files.
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.IQ3_S.gguf) | IQ3_S | 0.1 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.Q2_K.gguf) | Q2_K | 0.1 | |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.Q4_K_S.gguf) | Q4_K_S | 0.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.f16.gguf) | f16 | 0.1 | 16 bpw, overkill |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.IQ3_S.gguf) | IQ3_S | 0.1 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.Q2_K.gguf) | Q2_K | 0.1 | |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.Q4_K_S.gguf) | Q4_K_S | 0.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.Q8_0.gguf) | Q8_0 | 0.1 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/tinyllama-15M-alpaca-finetuned-GGUF/resolve/main/tinyllama-15M-alpaca-finetuned.f16.gguf) | f16 | 0.1 | 16 bpw, overkill |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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