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auto-patch README.md

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  1. README.md +1 -2
README.md CHANGED
@@ -34,7 +34,7 @@ more details, including on how to concatenate multi-part files.
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  | Link | Type | Size/GB | Notes |
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  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
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- | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | for the desperate |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |
@@ -55,7 +55,6 @@ more details, including on how to concatenate multi-part files.
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
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-
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):
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  | Link | Type | Size/GB | Notes |
35
  |:-----|:-----|--------:|:------|
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ1_S.gguf) | i1-IQ1_S | 2.1 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ1_M.gguf) | i1-IQ1_M | 2.3 | mostly desperate |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.5 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.7 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-IQ2_S.gguf) | i1-IQ2_S | 2.9 | |
 
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.8 | |
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  | [GGUF](https://huggingface.co/mradermacher/Llama-3-8B-Ultra-Instruct-i1-GGUF/resolve/main/Llama-3-8B-Ultra-Instruct.i1-Q6_K.gguf) | i1-Q6_K | 6.7 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
59
  types (lower is better):
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