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auto-patch README.md

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README.md CHANGED
@@ -29,9 +29,29 @@ 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/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q2_K.gguf) | i1-Q2_K | 29.9 | IQ3_XXS probably better |
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ3_M.gguf) | i1-IQ3_M | 35.6 | |
 
 
 
 
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  | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 44.0 | optimal size/speed/quality |
 
 
 
 
 
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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 |
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  |:-----|:-----|--------:|:------|
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ1_S.gguf) | i1-IQ1_S | 22.8 | for the desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ1_M.gguf) | i1-IQ1_M | 23.8 | mostly desperate |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 25.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ2_XS.gguf) | i1-IQ2_XS | 27.2 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ2_S.gguf) | i1-IQ2_S | 28.0 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ2_M.gguf) | i1-IQ2_M | 29.4 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q2_K_S.gguf) | i1-Q2_K_S | 29.7 | very low quality |
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  | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q2_K.gguf) | i1-Q2_K | 29.9 | IQ3_XXS probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 31.9 | lower quality |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ3_XS.gguf) | i1-IQ3_XS | 32.9 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ3_S.gguf) | i1-IQ3_S | 34.6 | beats Q3_K* |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q3_K_S.gguf) | i1-Q3_K_S | 34.6 | IQ3_XS probably better |
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  | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ3_M.gguf) | i1-IQ3_M | 35.6 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q3_K_M.gguf) | i1-Q3_K_M | 37.8 | IQ3_S probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q3_K_L.gguf) | i1-Q3_K_L | 39.6 | IQ3_M probably better |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-IQ4_XS.gguf) | i1-IQ4_XS | 39.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q4_0.gguf) | i1-Q4_0 | 41.5 | fast, low quality |
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  | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q4_K_S.gguf) | i1-Q4_K_S | 44.0 | optimal size/speed/quality |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q4_1.gguf) | i1-Q4_1 | 45.8 | |
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+ | [GGUF](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q4_K_M.gguf) | i1-Q4_K_M | 47.5 | fast, recommended |
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+ | [PART 1](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 51.5 | |
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+ | [PART 1](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 54.5 | |
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+ | [PART 1](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/TriomphantV2-ECE-78B-SLERP-V1-i1-GGUF/resolve/main/TriomphantV2-ECE-78B-SLERP-V1.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 64.4 | practically like static Q6_K |
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  Here is a handy graph by ikawrakow comparing some lower-quality quant
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  types (lower is better):