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Update README.md

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  --ctx-size 128000
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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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  | ---- | ---- | ---- | ---- | ----- |
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  | [Qwen2.5-32B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 8.99 GB| medium, balanced quality - recommended |
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  | [Qwen2.5-32B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 8.57 GB| small, greater quality loss |
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  | [Qwen2.5-32B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 10.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Qwen2.5-32B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 10.5 GB| large, very low quality loss - recommended |
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  | [Qwen2.5-32B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 10.3 GB| large, low quality loss - recommended |
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  | [Qwen2.5-32B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q6_K.gguf) | Q6_K | 6 | 12.1 GB| very large, extremely low quality loss |
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  | [Qwen2.5-32B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 15.1 GB| very large, extremely low quality loss - not recommended |
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- | [Qwen2.5-32B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-f16.gguf) | f16 | 16 | 29.5 GB| |
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  *Quantized with llama.cpp b3751*
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  --ctx-size 128000
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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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  | ---- | ---- | ---- | ---- | ----- |
 
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  | [Qwen2.5-32B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 8.99 GB| medium, balanced quality - recommended |
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  | [Qwen2.5-32B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 8.57 GB| small, greater quality loss |
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  | [Qwen2.5-32B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 10.3 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen2.5-32B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 23.3 GB| large, very low quality loss - recommended |
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  | [Qwen2.5-32B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 10.3 GB| large, low quality loss - recommended |
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  | [Qwen2.5-32B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q6_K.gguf) | Q6_K | 6 | 12.1 GB| very large, extremely low quality loss |
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  | [Qwen2.5-32B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 15.1 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-32B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-32B-Instruct-GGUF/blob/main/Qwen2.5-32B-Instruct-f16.gguf) | f16 | 16 | 29.5 GB| | -->
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  *Quantized with llama.cpp b3751*
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