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Adding IQ5_KS - 5.25 bpw quants (#422)
* iq5_ks: basics * iq5_ks: quantize * iq5_ks: CUDA dequantize works * iq5_ks: dot product works on CUDA * iq5_ks: MMQ works * iq5_ks: Zen4 * iq5_ks: AVX2 But is is not quite right, just like iq4_k, iq5_k, iq6_k, iq4_ks. All these need fixing on AVX2. * iq5_ks: NEON * iq5_ks: Metal dequantize * iq5_ks: Metal dot product --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -425,6 +425,7 @@ extern "C" {
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GGML_TYPE_Q8_KR8 = 149,
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GGML_TYPE_Q8_K128 = 150,
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GGML_TYPE_Q8_KV = 151,
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GGML_TYPE_IQ5_KS = 152,
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GGML_TYPE_Q4_0_R8 = 202,
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GGML_TYPE_Q5_0_R4 = 206,
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@@ -512,6 +513,7 @@ extern "C" {
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GGML_FTYPE_MOSTLY_IQ2_KS = 138, // except 1d tensors
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GGML_FTYPE_MOSTLY_IQ4_KSS = 139, // except 1d tensors
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GGML_FTYPE_MOSTLY_Q8_KV = 140, // except 1d tensors
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GGML_FTYPE_MOSTLY_IQ5_KS = 141, // except 1d tensors
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//
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GGML_FTYPE_MOSTLY_Q4_0_R8 = 202, // except 1d tensors
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GGML_FTYPE_MOSTLY_Q8_0_R8 = 207, // except 1d tensors
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