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auto-patch README.md
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README.md
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<!-- ### vocab_type: -->
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static quants of https://huggingface.co/openlynn/Llama-3-Soliloquy-Max-70B-v1
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<!-- provided-files -->
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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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/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best 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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<!-- ### vocab_type: -->
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static quants of https://huggingface.co/openlynn/Llama-3-Soliloquy-Max-70B-v1
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<!-- provided-files -->
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weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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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/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q2_K.gguf) | Q2_K | 26.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.IQ3_S.gguf) | IQ3_S | 31.0 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q3_K_S.gguf) | Q3_K_S | 31.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.IQ3_M.gguf) | IQ3_M | 32.0 | |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q3_K_M.gguf) | Q3_K_M | 34.4 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q3_K_L.gguf) | Q3_K_L | 37.2 | |
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| [GGUF](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q4_K_S.gguf) | Q4_K_S | 40.4 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q6_K.gguf.part2of2) | Q6_K | 58.0 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Llama-3-Soliloquy-Max-70B-v1-GGUF/resolve/main/Llama-3-Soliloquy-Max-70B-v1.Q8_0.gguf.part2of2) | Q8_0 | 75.1 | fast, best 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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