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Yi-1.5-9B-Chat-GGUF

Text Generation
Transformers
GGUF
llama
text-generation-inference
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@@ -74,18 +74,18 @@ quantized_by: Second State Inc.
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  | Name | Quant method | Bits | Size | Use case |
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  | ---- | ---- | ---- | ---- | ----- |
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- | [Yi-1.5-9B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q2_K.gguf) | Q2_K | 2 |3.35 GB| smallest, significant quality loss - not recommended for most purposes |
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- | [Yi-1.5-9B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 3.24 GB| small, substantial quality loss |
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- | [Yi-1.5-9B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 2.99 GB| very small, high quality loss |
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- | [Yi-1.5-9B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 2.71 GB| very small, high quality loss |
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- | [Yi-1.5-9B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_0.gguf) | Q4_0 | 4 | 3.48 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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- | [Yi-1.5-9B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 3.67 GB| medium, balanced quality - recommended |
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- | [Yi-1.5-9B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 3.50 GB| small, greater quality loss |
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- | [Yi-1.5-9B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_0.gguf) | Q5_0 | 5 | 4.20 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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- | [Yi-1.5-9B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 4.30 GB| large, very low quality loss - recommended |
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- | [Yi-1.5-9B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 4.20 GB| large, low quality loss - recommended |
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- | [Yi-1.5-9B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q6_K.gguf) | Q6_K | 6 | 4.97 GB| very large, extremely low quality loss |
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- | [Yi-1.5-9B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q8_0.gguf) | Q8_0 | 8 | 6.44 GB| very large, extremely low quality loss - not recommended |
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- | [Yi-1.5-9B-Chat-f16.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-f16.gguf) | f16 | 16 | 17.7 GB| |
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  *Quantized with llama.cpp b3135*
 
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  | Name | Quant method | Bits | Size | Use case |
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  | ---- | ---- | ---- | ---- | ----- |
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+ | [Yi-1.5-9B-Chat-Q2_K.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q2_K.gguf) | Q2_K | 2 | 3.35 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Yi-1.5-9B-Chat-Q3_K_L.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_L.gguf) | Q3_K_L | 3 | 4.69 GB| small, substantial quality loss |
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+ | [Yi-1.5-9B-Chat-Q3_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_M.gguf) | Q3_K_M | 3 | 4.32 GB| very small, high quality loss |
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+ | [Yi-1.5-9B-Chat-Q3_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q3_K_S.gguf) | Q3_K_S | 3 | 3.9 GB| very small, high quality loss |
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+ | [Yi-1.5-9B-Chat-Q4_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_0.gguf) | Q4_0 | 4 | 5.04 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Yi-1.5-9B-Chat-Q4_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_K_M.gguf) | Q4_K_M | 4 | 5.33 GB| medium, balanced quality - recommended |
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+ | [Yi-1.5-9B-Chat-Q4_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q4_K_S.gguf) | Q4_K_S | 4 | 5.07 GB| small, greater quality loss |
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+ | [Yi-1.5-9B-Chat-Q5_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_0.gguf) | Q5_0 | 5 | 6.11 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Yi-1.5-9B-Chat-Q5_K_M.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_K_M.gguf) | Q5_K_M | 5 | 6.26 GB| large, very low quality loss - recommended |
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+ | [Yi-1.5-9B-Chat-Q5_K_S.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q5_K_S.gguf) | Q5_K_S | 5 | 6.11 GB| large, low quality loss - recommended |
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+ | [Yi-1.5-9B-Chat-Q6_K.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q6_K.gguf) | Q6_K | 6 | 7.25 GB| very large, extremely low quality loss |
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+ | [Yi-1.5-9B-Chat-Q8_0.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-Q8_0.gguf) | Q8_0 | 8 | 9.38 GB| very large, extremely low quality loss - not recommended |
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+ | [Yi-1.5-9B-Chat-f16.gguf](https://huggingface.co/second-state/Yi-1.5-9B-Chat-GGUF/blob/main/Yi-1.5-9B-Chat-f16.gguf) | f16 | 16 | 17.7 GB| |
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  *Quantized with llama.cpp b3135*