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auto-patch README.md
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README.md
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weighted/imatrix quants of https://huggingface.co/ChuckMcSneed/Gembo-v1-70b
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/Gembo-v1-70b-GGUF
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## Usage
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| Link | Type | Size/GB | Notes |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q2_K.gguf) | i1-Q2_K | 25.6 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.3 | optimal size/speed/quality |
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Here is a handy graph by ikawrakow comparing some lower-quality quant
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<!-- ### vocab_type: -->
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weighted/imatrix quants of https://huggingface.co/ChuckMcSneed/Gembo-v1-70b
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<!-- provided-files -->
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static quants are available at https://huggingface.co/mradermacher/Gembo-v1-70b-GGUF
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## Usage
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| Link | Type | Size/GB | Notes |
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|:-----|:-----|--------:|:------|
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 18.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ2_XS.gguf) | i1-IQ2_XS | 20.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ2_M.gguf) | i1-IQ2_M | 23.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q2_K.gguf) | i1-Q2_K | 25.6 | IQ3_XXS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 26.7 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 28.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ3_S.gguf) | i1-IQ3_S | 30.0 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 30.0 | IQ3_XS probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ3_M.gguf) | i1-IQ3_M | 31.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 33.4 | IQ3_S probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 36.2 | IQ3_M probably better |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-IQ4_XS.gguf) | i1-IQ4_XS | 36.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q4_0.gguf) | i1-Q4_0 | 39.1 | fast, low quality |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 39.3 | optimal size/speed/quality |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q4_K_M.gguf) | i1-Q4_K_M | 41.5 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q5_K_S.gguf) | i1-Q5_K_S | 47.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q5_K_M.gguf) | i1-Q5_K_M | 48.9 | |
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| [PART 1](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Gembo-v1-70b-i1-GGUF/resolve/main/Gembo-v1-70b.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 56.7 | 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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