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Qwen2.5-Coder-1.5B-Instruct-GGUF

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apepkuss79 commited on
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Update README.md

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  | Name | Quant method | Bits | Size | Use case |
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  | ---- | ---- | ---- | ---- | ----- |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf) | Q2_K | 2 | 3.02 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.09 GB| small, substantial quality loss |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 3.81 GB| very small, high quality loss |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.49 GB| very small, high quality loss |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 4.43 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 4.68 GB| medium, balanced quality - recommended |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 4.46 GB| small, greater quality loss |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 5.32 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 5.44 GB| large, very low quality loss - recommended |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 5.32 GB| large, low quality loss - recommended |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf) | Q6_K | 6 | 6.25 GB| very large, extremely low quality loss |
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- | [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 8.21 GB| very large, extremely low quality loss - not recommended |
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- | [Qwen2.5-Coder-1.5B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-f16.gguf) | f16 | 16 | 15.2 GB| |
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  *Quantized with llama.cpp b3751*
 
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  | Name | Quant method | Bits | Size | Use case |
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  | ---- | ---- | ---- | ---- | ----- |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q2_K.gguf) | Q2_K | 2 | 676 MB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 880 MB| small, substantial quality loss |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 824 MB| very small, high quality loss |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 761 MB| very small, high quality loss |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_0.gguf) | Q4_0 | 4 | 935 MB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 986 MB| medium, balanced quality - recommended |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 940 MB| small, greater quality loss |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_0.gguf) | Q5_0 | 5 | 1.10 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 1.13 GB| large, very low quality loss - recommended |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 1.10 GB| large, low quality loss - recommended |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q6_K.gguf) | Q6_K | 6 | 1.27 GB| very large, extremely low quality loss |
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+ | [Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-Q8_0.gguf) | Q8_0 | 8 | 1.36 GB| very large, extremely low quality loss - not recommended |
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+ | [Qwen2.5-Coder-1.5B-Instruct-f16.gguf](https://huggingface.co/second-state/Qwen2.5-Coder-1.5B-Instruct-GGUF/blob/main/Qwen2.5-Coder-1.5B-Instruct-f16.gguf) | f16 | 16 | 3.09 GB| |
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  *Quantized with llama.cpp b3751*