Add Q2_0 quantization: type definition and CPU backend (#24448)
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+3
-1
@@ -380,6 +380,7 @@ static ggml_type tensor_type_fallback(quantize_state_impl & qs, const ggml_tenso
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case GGML_TYPE_IQ3_XXS:
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case GGML_TYPE_IQ3_S: // types on the right: block size 32
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case GGML_TYPE_IQ4_XS: return_type = GGML_TYPE_IQ4_NL; break;
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case GGML_TYPE_Q2_0:
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case GGML_TYPE_Q2_K:
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case GGML_TYPE_Q3_K:
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case GGML_TYPE_TQ1_0:
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@@ -480,7 +481,7 @@ static ggml_type llama_tensor_get_type_impl(quantize_state_impl & qs, ggml_type
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else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
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new_type = GGML_TYPE_IQ3_S;
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}
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else if (ftype == LLAMA_FTYPE_MOSTLY_TQ1_0 || ftype == LLAMA_FTYPE_MOSTLY_TQ2_0) {
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else if (ftype == LLAMA_FTYPE_MOSTLY_TQ1_0 || ftype == LLAMA_FTYPE_MOSTLY_TQ2_0 || ftype == LLAMA_FTYPE_MOSTLY_Q2_0) {
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new_type = GGML_TYPE_Q4_K;
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}
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}
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@@ -800,6 +801,7 @@ ggml_type llama_ftype_get_default_type(llama_ftype ftype) {
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case LLAMA_FTYPE_MOSTLY_BF16: return GGML_TYPE_BF16;
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case LLAMA_FTYPE_ALL_F32: return GGML_TYPE_F32;
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case LLAMA_FTYPE_MOSTLY_Q1_0: return GGML_TYPE_Q1_0;
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case LLAMA_FTYPE_MOSTLY_Q2_0: return GGML_TYPE_Q2_0;
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case LLAMA_FTYPE_MOSTLY_MXFP4_MOE: return GGML_TYPE_MXFP4;
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