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Tiger-Gemma-9B-v1-GGUF

Text Generation
GGUF
imatrix
Model card Files Community
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- base_model: TheDrummer/Tiger-Gemma-9B-v1
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- pipeline_tag: text-generation
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  quantized_by: bartowski
 
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  ## Llamacpp imatrix Quantizations of Tiger-Gemma-9B-v1
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  | [Tiger-Gemma-9B-v1-Q4_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_L.gguf) | Q4_K_L | 5.98GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q4_K_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_M.gguf) | Q4_K_M | 5.76GB | false | Good quality, default size for must use cases, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q4_K_S.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_S.gguf) | Q4_K_S | 5.48GB | false | Slightly lower quality with more space savings, *recommended*. |
 
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  | [Tiger-Gemma-9B-v1-IQ4_XS.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ4_XS.gguf) | IQ4_XS | 5.18GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q3_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q3_K_L.gguf) | Q3_K_L | 5.13GB | false | Lower quality but usable, good for low RAM availability. |
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  | [Tiger-Gemma-9B-v1-Q3_K_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q3_K_M.gguf) | Q3_K_M | 4.76GB | false | Low quality. |
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  | [Tiger-Gemma-9B-v1-IQ3_XS.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ3_XS.gguf) | IQ3_XS | 4.14GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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  | [Tiger-Gemma-9B-v1-Q2_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q2_K_L.gguf) | Q2_K_L | 4.03GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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  | [Tiger-Gemma-9B-v1-Q2_K.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q2_K.gguf) | Q2_K | 3.81GB | false | Very low quality but surprisingly usable. |
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- | [Tiger-Gemma-9B-v1-IQ3_XXS.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ3_XXS.gguf) | IQ3_XXS | 3.80GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
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  | [Tiger-Gemma-9B-v1-IQ2_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ2_M.gguf) | IQ2_M | 3.43GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
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  ## Credits
 
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  quantized_by: bartowski
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+ pipeline_tag: text-generation
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  ---
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  ## Llamacpp imatrix Quantizations of Tiger-Gemma-9B-v1
 
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  | [Tiger-Gemma-9B-v1-Q4_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_L.gguf) | Q4_K_L | 5.98GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q4_K_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_M.gguf) | Q4_K_M | 5.76GB | false | Good quality, default size for must use cases, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q4_K_S.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q4_K_S.gguf) | Q4_K_S | 5.48GB | false | Slightly lower quality with more space savings, *recommended*. |
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+ | [Tiger-Gemma-9B-v1-Q3_K_XL.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q3_K_XL.gguf) | Q3_K_XL | 5.35GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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  | [Tiger-Gemma-9B-v1-IQ4_XS.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ4_XS.gguf) | IQ4_XS | 5.18GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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  | [Tiger-Gemma-9B-v1-Q3_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q3_K_L.gguf) | Q3_K_L | 5.13GB | false | Lower quality but usable, good for low RAM availability. |
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  | [Tiger-Gemma-9B-v1-Q3_K_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q3_K_M.gguf) | Q3_K_M | 4.76GB | false | Low quality. |
 
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  | [Tiger-Gemma-9B-v1-IQ3_XS.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ3_XS.gguf) | IQ3_XS | 4.14GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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  | [Tiger-Gemma-9B-v1-Q2_K_L.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q2_K_L.gguf) | Q2_K_L | 4.03GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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  | [Tiger-Gemma-9B-v1-Q2_K.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-Q2_K.gguf) | Q2_K | 3.81GB | false | Very low quality but surprisingly usable. |
 
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  | [Tiger-Gemma-9B-v1-IQ2_M.gguf](https://huggingface.co/bartowski/Tiger-Gemma-9B-v1-GGUF/blob/main/Tiger-Gemma-9B-v1-IQ2_M.gguf) | IQ2_M | 3.43GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
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  ## Credits