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Update README.md

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@@ -80,7 +80,7 @@ tags:
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  --prompt-template llama-3-chat \
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  --ctx-size 128000
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  ```
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- <!--
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  ## Quantized GGUF Models
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  | Name | Quant method | Bits | Size | Use case |
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  | [Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
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  | [Meta-Llama-3.1-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 40 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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  | [Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
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- | [Meta-Llama-3.1-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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  | [Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 50 GB| large, very low quality loss - recommended |
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  | [Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
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  | [Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf) | Q6_K | 6 | 32.1 GB| very large, extremely low quality loss |
 
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  --prompt-template llama-3-chat \
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  --ctx-size 128000
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  ```
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+
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  ## Quantized GGUF Models
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  | Name | Quant method | Bits | Size | Use case |
 
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  | [Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 30.9 GB| very small, high quality loss |
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  | [Meta-Llama-3.1-70B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 40 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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  | [Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 42.5 GB| medium, balanced quality - recommended |
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+ <!-- | [Meta-Llama-3.1-70B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 48.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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  | [Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 50 GB| large, very low quality loss - recommended |
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  | [Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 48.7 GB| large, low quality loss - recommended |
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  | [Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf](https://huggingface.co/second-state/Meta-Llama-3.1-70B-Instruct-GGUF/blob/main/Meta-Llama-3.1-70B-Instruct-Q6_K-00001-of-00002.gguf) | Q6_K | 6 | 32.1 GB| very large, extremely low quality loss |