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https://github.com/ikawrakow/ik_llama.cpp.git
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Specify tensor name regex for tensors to be repacked (#274)
Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
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@@ -17348,20 +17348,39 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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bool is_repacked = ml.ftype >= LLAMA_FTYPE_MOSTLY_Q4_0_R8 && ml.ftype <= LLAMA_FTYPE_MOSTLY_Q8_K_R8;
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int n_to_repack = 0, n_to_modify = 0;
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const std::vector<std::string> * repack_pattern = nullptr;
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if (params->repack_pattern) repack_pattern = (const std::vector<std::string> *)params->repack_pattern;
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for (int i = 0; i < ml.n_tensors; ++i) {
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const struct ggml_tensor * meta = ml.get_tensor_meta(i);
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const std::string name = ggml_get_name(meta);
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if (params->only_repack) {
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auto repacked_type = (ggml_type)iqk_repacked_type(meta);
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bool repack = false, modify = false;
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if (repacked_type != meta->type) {
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++n_to_repack;
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repack = true;
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} else if (!is_repacked) {
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if (iqk_should_modify_tensor(meta)) ++n_to_modify;
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if (iqk_should_modify_tensor(meta)) {
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modify = true;
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}
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}
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if ((repack || modify) && repack_pattern) {
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bool found = false;
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for (auto& r : *repack_pattern) {
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std::regex pattern(r);
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if (std::regex_search(name, pattern)) {
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found = true;
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break;
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}
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}
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if (!found) repack = modify = false;
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}
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if (repack) ++n_to_repack;
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else if (modify) ++n_to_modify;
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}
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const std::string name = ggml_get_name(meta);
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// TODO: avoid hardcoded tensor names - use the TN_* constants
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if (name.find("attn_v.weight") != std::string::npos ||
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name.find("attn_qkv.weight") != std::string::npos) {
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@@ -17526,6 +17545,19 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
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if (params->only_repack) {
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ggml_type repacked_type = (ggml_type)iqk_repacked_type(tensor);
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bool modify = !is_repacked && iqk_should_modify_tensor(tensor);
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if ((modify || repacked_type != tensor->type) && repack_pattern) {
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bool found = false;
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for (auto& r : *repack_pattern) {
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std::regex pattern(r);
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if (std::regex_search(tensor->name, pattern)) {
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found = true; break;
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}
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}
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if (!found) {
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modify = false;
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repacked_type = tensor->type;
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}
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}
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if (modify || repacked_type != tensor->type) {
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new_type = repacked_type;
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new_size = ggml_nbytes(tensor);
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@@ -18153,6 +18185,7 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
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/*.imatrix =*/ nullptr,
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/*.kv_overrides =*/ nullptr,
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/*.custom_quants =*/ nullptr,
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/*.repack_pattern =*/ nullptr,
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};
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return result;
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