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Improve IQ1 and IQ2 quants
And fix mistakes for the attn.output of IQ2_XL and the ffn gate and up of IQ2_XS Reformat attn_ouput mess and split GQA4/GQA2
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-43
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1 file changed

+57
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‎src/llama.cpp‎

Lines changed: 57 additions & 43 deletions
Original file line numberDiff line numberDiff line change
@@ -15925,19 +15925,20 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1592515925
else if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_IQ4_XS;
1592615926
else new_type = GGML_TYPE_Q4_K;
1592715927
}
15928-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS) {
15928+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS ||
15929+
ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL ||
15930+
ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_Q2_K_L) {
1592915931
if (qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q6_K;
1593015932
else if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_Q4_K;
1593115933
else new_type = GGML_TYPE_Q5_K;
1593215934
}
15933-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS ||
15934-
ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M ||
15935-
ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_Q2_K_L) {
15935+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
1593615936
if (qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q6_K;
1593715937
else new_type = GGML_TYPE_Q5_K;
1593815938
}
15939-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_S || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M) {
15940-
if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_Q5_K;
15939+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_S || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M) {
15940+
if (qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q6_K;
15941+
else if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_Q5_K;
1594115942
else new_type = GGML_TYPE_Q6_K;
1594215943
}
1594315944
else if (new_type != GGML_TYPE_Q8_0) {
@@ -15970,10 +15971,13 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1597015971
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS) {
1597115972
new_type = GGML_TYPE_IQ2_S;
1597215973
}
15973-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) {
15974+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M) {
1597415975
if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_IQ2_S;
1597515976
else new_type = GGML_TYPE_IQ3_XXS;
1597615977
}
15978+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) {
15979+
new_type = GGML_TYPE_IQ3_XXS;
15980+
}
1597715981
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS) {
1597815982
if (qs.model.hparams.n_vocab >= 127999) new_type = GGML_TYPE_IQ3_XXS;
1597915983
else new_type = GGML_TYPE_IQ3_S;
@@ -16018,10 +16022,8 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1601816022
else if ((ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) &&
1601916023
difquant_half_tensors(qs.i_attention_wv, qs.n_attention_wv)) new_type = GGML_TYPE_Q6_K;
1602016024
else if (ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S && qs.i_attention_wv < 4) new_type = GGML_TYPE_Q5_K;
16021-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) {
16022-
new_type = (qs.model.hparams.n_gqa() >= 2 || qs.model.hparams.n_expert >= 2) ? GGML_TYPE_IQ4_XS : GGML_TYPE_IQ3_XXS;
16023-
}
16024-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS) {
16025+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M ||
16026+
ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS) {
1602516027
new_type = (qs.model.hparams.n_gqa() >= 2 || qs.model.hparams.n_expert >= 2) ? GGML_TYPE_IQ4_XS : GGML_TYPE_IQ3_XXS;
1602616028
}
1602716029
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) {
@@ -16035,7 +16037,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1603516037
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_S || ftype == LLAMA_FTYPE_MOSTLY_IQ3_M ||
1603616038
ftype == LLAMA_FTYPE_MOSTLY_IQ3_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXL || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXXL) {
1603716039
if (qs.model.hparams.n_gqa() >= 2 || qs.model.hparams.n_expert >= 2) new_type = GGML_TYPE_Q5_K;
16038-
else new_type = GGML_TYPE_IQ4_XS;
16040+
else new_type = GGML_TYPE_Q4_K;
1603916041
}
1604016042
else if ((ftype == LLAMA_FTYPE_MOSTLY_IQ4_NL || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS) &&
1604116043
(qs.model.hparams.n_gqa() >= 2 || qs.model.hparams.n_expert >= 2)) {
@@ -16072,11 +16074,7 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1607216074
ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M) && (qs.model.hparams.n_gqa() >= 2 || qs.model.hparams.n_expert >= 2)) {
1607316075
new_type = GGML_TYPE_Q5_K;
1607416076
}
16075-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) {
16076-
if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 2) new_type = GGML_TYPE_IQ2_XS;
16077-
else new_type = GGML_TYPE_IQ2_XXS;
16078-
}
16079-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS) {
16077+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S) {
1608016078
if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 2) new_type = GGML_TYPE_IQ2_S;
1608116079
else if (qs.model.hparams.n_gqa() >= 2) new_type = GGML_TYPE_IQ2_XXS;
1608216080
else new_type = GGML_TYPE_IQ1_M;
@@ -16204,21 +16202,24 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1620416202
// same quantization as before imatrix stuff, and b) Q4_1/Q5_1 do go crazy on ffn_down without an imatrix.
1620516203
new_type = ftype == LLAMA_FTYPE_MOSTLY_Q4_0 ? GGML_TYPE_Q4_1 : GGML_TYPE_Q5_1;
1620616204
}
16207-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS && (i_layer < n_layer/8)) new_type = GGML_TYPE_IQ2_XXS;
16208-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_S || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) {
16209-
if (difquant_half_tensors(i_layer, n_layer)) new_type = GGML_TYPE_IQ2_XXS;
16205+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16206+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_S) {
16207+
if (difquant_three_eights_tensors(i_layer, n_layer)) new_type = GGML_TYPE_IQ2_XXS;
1621016208
}
16211-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL) new_type = GGML_TYPE_IQ2_XXS;
16212-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
16209+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) {
16210+
if (difquant_three_eights_tensors(i_layer, n_layer)) new_type = GGML_TYPE_IQ2_XXS;
16211+
}
16212+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16213+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
1621316214
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS) {
16214-
if (i_layer < n_layer/8) new_type = GGML_TYPE_IQ2_S;
16215+
if (difquant_three_eights_tensors(i_layer, n_layer)) new_type = GGML_TYPE_IQ2_S;
1621516216
}
16216-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
16217+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
1621716218
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M) {
1621816219
new_type = difquant_init_end_tensors(i_layer, n_layer) ? GGML_TYPE_IQ3_XXS : GGML_TYPE_IQ2_S;
1621916220
}
1622016221
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) {
16221-
new_type = difquant_half_tensors(i_layer, n_layer) ? GGML_TYPE_IQ3_XXS : GGML_TYPE_IQ2_S;
16222+
new_type = difquant_six_eights_tensors(i_layer, n_layer) ? GGML_TYPE_IQ3_XXS : GGML_TYPE_IQ2_S;
1622216223
}
1622316224
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS) {
1622416225
new_type = difquant_init_tensors(i_layer, n_layer) ? GGML_TYPE_IQ3_S : GGML_TYPE_IQ3_XXS;
@@ -16254,24 +16255,37 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1625416255
} else if (name.find("attn_output.weight") != std::string::npos) {
1625516256
if (arch != LLM_ARCH_FALCON) {
1625616257
if (qs.model.hparams.n_expert >= 4) {
16257-
if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS ||
16258+
if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
16259+
ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M ||
16260+
ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S ||
16261+
ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) {
16262+
new_type = GGML_TYPE_Q4_K;
16263+
}
16264+
else if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS ||
1625816265
ftype == LLAMA_FTYPE_MOSTLY_Q2_K_L || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XL ||
1625916266
ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXL || ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXXL ||
1626016267
ftype == LLAMA_FTYPE_MOSTLY_Q3_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M || ftype == LLAMA_FTYPE_MOSTLY_IQ4_NL ||
1626116268
ftype == LLAMA_FTYPE_MOSTLY_Q4_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q4_K_M || ftype == LLAMA_FTYPE_MOSTLY_IQ3_S ||
1626216269
ftype == LLAMA_FTYPE_MOSTLY_IQ4_XSR ||
16263-
ftype == LLAMA_FTYPE_MOSTLY_IQ3_M || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS) new_type = GGML_TYPE_Q5_K;
16264-
}
16265-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
16266-
ftype == LLAMA_FTYPE_MOSTLY_IQ2_S || ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ1_M ||
16267-
ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_Q2_K_S) {
16268-
if (qs.model.hparams.n_expert >= 4) new_type = GGML_TYPE_Q4_K;
16269-
else {
16270-
if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
16271-
ftype == LLAMA_FTYPE_MOSTLY_IQ1_M || ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL) new_type = GGML_TYPE_IQ2_XXS;
16272-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S) new_type = GGML_TYPE_IQ2_S;
16273-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) new_type = GGML_TYPE_IQ3_XXS;
16270+
ftype == LLAMA_FTYPE_MOSTLY_IQ3_M || ftype == LLAMA_FTYPE_MOSTLY_IQ4_XS) {
16271+
new_type = GGML_TYPE_Q5_K;
16272+
}
16273+
else if (ftype == LLAMA_FTYPE_MOSTLY_Q5_K_S || ftype == LLAMA_FTYPE_MOSTLY_Q5_K_M) new_type = GGML_TYPE_Q5_K;
16274+
else new_type = GGML_TYPE_Q8_0;
16275+
}
16276+
else if (qs.model.hparams.n_gqa() >= 4 || qs.model.hparams.n_expert >= 2) {
16277+
if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
16278+
ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) new_type = GGML_TYPE_IQ2_XS;
16279+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS ||
16280+
ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_S) new_type = GGML_TYPE_IQ2_S;
16281+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) new_type = GGML_TYPE_IQ3_XXS;
1627416282
}
16283+
else if (qs.model.hparams.n_gqa() >= 2) {
16284+
if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ1_S ||
16285+
ftype == LLAMA_FTYPE_MOSTLY_IQ1_M) new_type = GGML_TYPE_IQ2_XXS;
16286+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS) new_type = GGML_TYPE_IQ2_XS;
16287+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS || ftype == LLAMA_FTYPE_MOSTLY_IQ2_S) new_type = GGML_TYPE_IQ2_S;
16288+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M || ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL) new_type = GGML_TYPE_IQ3_XXS;
1627516289
} else {
1627616290
if (ftype == LLAMA_FTYPE_MOSTLY_Q2_K || ftype == LLAMA_FTYPE_MOSTLY_Q2_K_L) new_type = GGML_TYPE_Q3_K;
1627716291
else if (ftype == LLAMA_FTYPE_MOSTLY_Q3_K_M ) new_type = GGML_TYPE_Q4_K;
@@ -16323,10 +16337,10 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1632316337
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ1_M;
1632416338
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_S && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
1632516339
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_M && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16326-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16340+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
1632716341
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
16328-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
16329-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
16342+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
16343+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
1633016344
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_XXS;
1633116345
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_XXS;
1633216346
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS && (difquant_init_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_S;
@@ -16343,10 +16357,10 @@ static ggml_type llama_tensor_get_type(quantize_state_internal & qs, ggml_type n
1634316357
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XS && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ1_M;
1634416358
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_S && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
1634516359
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_M && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16346-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
16360+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ1_XL && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XXS;
1634716361
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XXS && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
16348-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_XS;
16349-
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_half_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
16362+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XS && (difquant_three_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
16363+
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_S && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ2_S;
1635016364
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_M && (difquant_init_end_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_XXS;
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else if (ftype == LLAMA_FTYPE_MOSTLY_IQ2_XL && (difquant_six_eights_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_XXS;
1635216366
else if (ftype == LLAMA_FTYPE_MOSTLY_IQ3_XXS && (difquant_init_tensors(i_layer, n_layer))) new_type = GGML_TYPE_IQ3_S;

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