tqcq/llama.cpp
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imatrix : two-way conversion between old format and GGUF

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This commit is contained in:
Francis Couture-Harpin
2025-04-15 17:29:57 -04:00
parent 16202d6f96
commit a5165a6ca9
2 changed files with 365 additions and 73 deletions
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145
examples/quantize/quantize.cpp
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@ -64,7 +64,7 @@ static const char * const LLM_KV_QUANTIZE_IMATRIX_N_ENTRIES = "quantize.imatrix
static const char * const LLM_KV_QUANTIZE_IMATRIX_N_CHUNKS = "quantize.imatrix.chunks_count";
// TODO: share with imatrix.cpp
static const char * const LLM_KV_IMATRIX_DATASET = "imatrix.dataset";
static const char * const LLM_KV_IMATRIX_DATASETS = "imatrix.datasets";
static const char * const LLM_KV_IMATRIX_CHUNK_COUNT = "imatrix.chunk_count";
static const char * const LLM_KV_IMATRIX_CHUNK_SIZE = "imatrix.chunk_size";
@ -84,7 +84,7 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
for (auto ch : ftype_str_in) {
ftype_str.push_back(std::toupper(ch));
}
for (auto & it : QUANT_OPTIONS) {
for (const auto & it : QUANT_OPTIONS) {
if (striequals(it.name.c_str(), ftype_str.c_str())) {
ftype = it.ftype;
ftype_str_out = it.name;
@ -93,7 +93,7 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
}
try {
int ftype_int = std::stoi(ftype_str);
for (auto & it : QUANT_OPTIONS) {
for (const auto & it : QUANT_OPTIONS) {
if (it.ftype == ftype_int) {
ftype = it.ftype;
ftype_str_out = it.name;
@ -126,7 +126,7 @@ static void usage(const char * executable) {
printf(" Advanced option to override model metadata by key in the quantized model. May be specified multiple times.\n");
printf("Note: --include-weights and --exclude-weights cannot be used together\n");
printf("\nAllowed quantization types:\n");
for (auto & it : QUANT_OPTIONS) {
for (const auto & it : QUANT_OPTIONS) {
if (it.name != "COPY") {
printf(" %2d or ", it.ftype);
} else {
@ -146,7 +146,71 @@ static bool str_remove_suffix(std::string & str, const std::string & suffix) {
return has_suffix;
}
static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_dataset, std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
static int load_legacy_imatrix(const std::string & imatrix_file, std::vector<std::string> & imatrix_datasets, std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
std::ifstream in(imatrix_file.c_str(), std::ios::binary);
if (!in) {
printf("%s: failed to open %s\n",__func__, imatrix_file.c_str());
exit(1);
}
int n_entries;
in.read((char *)&n_entries, sizeof(n_entries));
if (in.fail() || n_entries < 1) {
printf("%s: no data in file %s\n", __func__, imatrix_file.c_str());
exit(1);
}
for (int i = 0; i < n_entries; ++i) {
int len; in.read((char *)&len, sizeof(len));
std::vector<char> name_as_vec(len+1);
in.read((char *)name_as_vec.data(), len);
if (in.fail()) {
printf("%s: failed reading name for entry %d from %s\n", __func__, i+1, imatrix_file.c_str());
exit(1);
}
name_as_vec[len] = 0;
std::string name{name_as_vec.data()};
auto & e = imatrix_data[name];
int ncall;
in.read((char *)&ncall, sizeof(ncall));
int nval;
in.read((char *)&nval, sizeof(nval));
if (in.fail() || nval < 1) {
printf("%s: failed reading number of values for entry %d\n", __func__, i);
imatrix_data = {};
exit(1);
}
e.resize(nval);
in.read((char *)e.data(), nval*sizeof(float));
if (in.fail()) {
printf("%s: failed reading data for entry %d\n", __func__, i);
imatrix_data = {};
exit(1);
}
if (ncall > 0) {
for (auto& v : e) v /= ncall;
}
if (getenv("LLAMA_TRACE")) {
printf("%s: loaded data (size = %6d, ncall = %6d) for '%s'\n", __func__, int(e.size()), ncall, name.c_str());
}
}
// latest imatrix version contains the dataset filename at the end of the file
int m_last_call = 0;
if (in.peek() != EOF) {
in.read((char *)&m_last_call, sizeof(m_last_call));
int dataset_len;
in.read((char *)&dataset_len, sizeof(dataset_len));
std::vector<char> dataset_as_vec(dataset_len);
in.read(dataset_as_vec.data(), dataset_len);
imatrix_datasets.resize(1);
imatrix_datasets[0].assign(dataset_as_vec.begin(), dataset_as_vec.end());
printf("%s: imatrix dataset='%s'\n", __func__, imatrix_datasets[0].c_str());
}
printf("%s: loaded %d importance matrix entries from %s computed on %d chunks\n", __func__, int(imatrix_data.size()), imatrix_file.c_str(), m_last_call);
return m_last_call;
}
static int load_imatrix(const std::string & imatrix_file, std::vector<std::string> & imatrix_datasets, std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
struct ggml_context * ctx = nullptr;
struct gguf_init_params meta_gguf_params = {
@ -155,8 +219,8 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
};
struct gguf_context * ctx_gguf = gguf_init_from_file(imatrix_file.c_str(), meta_gguf_params);
if (!ctx_gguf) {
fprintf(stderr, "%s: if this is an older imatrix file, make sure to convert it to the GGUF-based imatrix format\n", __func__);
exit(1);
fprintf(stderr, "%s: imatrix file '%s' is using old format\n", __func__, imatrix_file.c_str());
return load_legacy_imatrix(imatrix_file, imatrix_datasets, imatrix_data);
}
const int32_t n_entries = gguf_get_n_tensors(ctx_gguf);
if (n_entries < 1) {
@ -166,7 +230,7 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
exit(1);
}
const int dataset_idx = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_DATASET);
const int dataset_idx = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_DATASETS);
const int chunk_count_idx = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_COUNT);
const int chunk_size_idx = gguf_find_key(ctx_gguf, LLM_KV_IMATRIX_CHUNK_SIZE);
if (dataset_idx < 0 || chunk_count_idx < 0 || chunk_size_idx < 0) {
@ -178,8 +242,8 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
const uint32_t chunk_size = gguf_get_val_u32(ctx_gguf, chunk_size_idx);
const std::string sums_suffix{".sums"};
const std::string counts_suffix{".counts"};
const std::string sums_suffix{ ".in_sum2" };
const std::string counts_suffix{ ".counts" };
// Using an ordered map to get a deterministic iteration order.
std::map<std::string, std::pair<struct ggml_tensor *, struct ggml_tensor *>> sums_counts_for;
@ -190,16 +254,13 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
if (name.empty()) { continue; }
if (str_remove_suffix(name, sums_suffix)) {
// sums
sums_counts_for[name].first = cur;
// in_sum2
sums_counts_for[std::move(name)].first = cur;
} else if (str_remove_suffix(name, counts_suffix)) {
// counts
sums_counts_for[name].second = cur;
sums_counts_for[std::move(name)].second = cur;
} else {
fprintf(stderr, "%s: invalid imatrix tensor name: %s\n", __func__, name.c_str());
gguf_free(ctx_gguf);
ggml_free(ctx);
exit(1);
// ignore other tensors
}
}
@ -223,8 +284,15 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
float max_count = 0.0f;
for (int64_t j = 0; j < ne1; ++j) {
const float count = ((const float *) counts->data)[j];
for (int64_t i = 0; i < ne0; ++i) {
e[j*ne0 + i] = ((const float *) sums->data)[j*ne0 + i] / count;
if (count > 0.0f) {
for (int64_t i = 0; i < ne0; ++i) {
e[j*ne0 + i] = ((const float *) sums->data)[j*ne0 + i] / count;
}
} else {
// Partial imatrix data, this tensor never got any input during calibration
for (int64_t i = 0; i < ne0; ++i) {
e[j*ne0 + i] = 1;
}
}
if (count > max_count) {
max_count = count;
@ -236,9 +304,18 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
}
int m_last_chunk = gguf_get_val_u32(ctx_gguf, chunk_count_idx);
imatrix_dataset = gguf_get_val_str(ctx_gguf, dataset_idx);
printf("%s: imatrix dataset='%s'\n", __func__, imatrix_dataset.c_str());
int64_t n_datasets = gguf_get_arr_n(ctx_gguf, dataset_idx);
imatrix_datasets.resize(n_datasets);
for (int64_t i = 0; i < n_datasets; ++i) {
imatrix_datasets.push_back(gguf_get_val_str(ctx_gguf, dataset_idx));
}
printf("%s: imatrix datasets=['%s'", __func__, imatrix_datasets[0].c_str());
for (size_t i = 1; i < imatrix_datasets.size(); ++i) {
printf(", '%s'", imatrix_datasets[i].c_str());
}
printf("]\n");
printf("%s: loaded %d importance matrix entries from %s computed on %d chunks\n", __func__, int(imatrix_data.size()), imatrix_file.c_str(), m_last_chunk);
gguf_free(ctx_gguf);
@ -248,7 +325,7 @@ static int load_imatrix(const std::string & imatrix_file, std::string & imatrix_
}
static int prepare_imatrix(const std::string & imatrix_file,
std::string & imatrix_dataset,
std::vector<std::string> & imatrix_dataset,
const std::vector<std::string> & included_weights,
const std::vector<std::string> & excluded_weights,
std::unordered_map<std::string, std::vector<float>> & imatrix_data) {
@ -260,18 +337,21 @@ static int prepare_imatrix(const std::string & imatrix_file,
return m_last_call;
}
if (!excluded_weights.empty()) {
for (auto& name : excluded_weights) {
for (auto it = imatrix_data.begin(); it != imatrix_data.end(); ) {
for (const auto & name : excluded_weights) {
for (auto it = imatrix_data.begin(); it != imatrix_data.end();) {
auto pos = it->first.find(name);
if (pos != std::string::npos) it = imatrix_data.erase(it);
else ++it;
if (pos != std::string::npos) {
it = imatrix_data.erase(it);
} else {
++it;
}
}
}
}
if (!included_weights.empty()) {
std::unordered_map<std::string, std::vector<float>> tmp;
for (auto& name : included_weights) {
for (auto& e : imatrix_data) {
for (const auto & name : included_weights) {
for (auto & e : imatrix_data) {
auto pos = e.first.find(name);
if (pos != std::string::npos) {
tmp.emplace(std::move(e));
@ -372,9 +452,9 @@ int main(int argc, char ** argv) {
usage(argv[0]);
}
std::string imatrix_dataset;
std::vector<std::string> imatrix_datasets;
std::unordered_map<std::string, std::vector<float>> imatrix_data;
int m_last_call = prepare_imatrix(imatrix_file, imatrix_dataset, included_weights, excluded_weights, imatrix_data);
int m_last_call = prepare_imatrix(imatrix_file, imatrix_datasets, included_weights, excluded_weights, imatrix_data);
if (!imatrix_data.empty()) {
params.imatrix = &imatrix_data;
{
@ -385,11 +465,12 @@ int main(int argc, char ** argv) {
kvo.val_str[127] = '\0';
kv_overrides.emplace_back(std::move(kvo));
}
if (!imatrix_dataset.empty()) {
if (!imatrix_datasets.empty()) {
llama_model_kv_override kvo;
// TODO: list multiple datasets when there are more than one
std::strcpy(kvo.key, LLM_KV_QUANTIZE_IMATRIX_DATASET);
kvo.tag = LLAMA_KV_OVERRIDE_TYPE_STR;
strncpy(kvo.val_str, imatrix_dataset.c_str(), 127);
strncpy(kvo.val_str, imatrix_datasets[0].c_str(), 127);
kvo.val_str[127] = '\0';
kv_overrides.emplace_back(std::move(kvo));
}