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@@ -29,8 +29,8 @@ Brought to you by the [LocalAI](https://github.com/mudler/LocalAI) team. These m
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  | `ggml-model-f16.bin` | float16 | Full precision (no quantization) — highest quality |
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  | `ggml-model-q8_0.bin` | int8 | 8-bit quantization — minimal quality loss |
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- | `ggml-model-q5_1.bin` | int5 | 5-bit quantization with extra precision |
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- | `ggml-model-q5_0.bin` | int5 | 5-bit quantization — smallest size |
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  ## Training
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  |------|--------------|-------------|
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  | `ggml-model-f16.bin` | float16 | Full precision (no quantization) — highest quality |
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  | `ggml-model-q8_0.bin` | int8 | 8-bit quantization — minimal quality loss |
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+ | `ggml-model-q5_0.bin` | int5 | 5-bit quantization good quality/size tradeoff |
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+ | `ggml-model-q4_0.bin` | int4 | 4-bit quantization — smallest size, fastest |
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  ## Training
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