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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-29 04:44:34 +00:00
gguf : start implementing quantization (WIP)
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@ -525,6 +525,11 @@ struct ggml_context * ctx_data = NULL;
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// TODO make keysconstants in header
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// TODO make keysconstants in header
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// TODO: read all hparams from file
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// TODO: read all hparams from file
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int q_ver_idx = gguf_find_key (gguf_ctx, "general.quantization_version");
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if (q_ver_idx != -1) {
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hparams.ftype = gguf_get_val_u32(gguf_ctx, q_ver_idx);
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}
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hparams.n_vocab = read_n_vocab();
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hparams.n_vocab = read_n_vocab();
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hparams.n_ctx = read_u32("llama.context_length");
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hparams.n_ctx = read_u32("llama.context_length");
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hparams.n_embd = read_u32("llama.embedding_length");
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hparams.n_embd = read_u32("llama.embedding_length");
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@ -738,27 +743,29 @@ struct gguf_file_saver {
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info_offset = file.tell();
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info_offset = file.tell();
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size_t count = gguf_get_data_offset(fl->gguf_ctx) - info_offset;
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size_t count = gguf_get_data_offset(fl->gguf_ctx) - info_offset;
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file.write_zeros(count);
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file.write_zeros(count);
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printf("info_offset = %zu\n", info_offset);
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file.seek(info_offset, SEEK_SET);
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file.seek(info_offset, SEEK_SET);
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GGML_ASSERT(info_offset == file.tell());
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GGML_ASSERT(info_offset == file.tell());
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}
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}
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size_t write_tensor_info(llama_load_tensor & tensor) {
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size_t write_tensor_info(llama_load_tensor & tensor, enum ggml_type type) {
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size_t total_written = 0;
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size_t total_written = 0;
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file.seek(info_offset, SEEK_SET);
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file.seek(info_offset, SEEK_SET);
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GGML_ASSERT(info_offset == file.tell());
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GGML_ASSERT(info_offset == file.tell());
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total_written += file.write_str(tensor.name);
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total_written += file.write_str(tensor.name);
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printf("total_written = %zu, name = %s\n", total_written, tensor.name.c_str());
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int32_t n_dims = tensor.ne.size();
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int32_t n_dims = tensor.ne.size();
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total_written += file.write_i32(n_dims);
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total_written += file.write_i32(n_dims);
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for (int32_t i = 0; i < n_dims; ++i) {
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for (int32_t i = 0; i < n_dims; ++i) {
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total_written += file.write_i32(i);
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total_written += file.write_i32(tensor.ne[i]);
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}
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}
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total_written += file.write_i32(type);
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total_written += file.write_u64(tensor_offset);
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total_written += file.write_u64(tensor_offset);
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info_offset += total_written;
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info_offset += total_written;
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file.seek(0, SEEK_END);
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file.seek(0, SEEK_END);
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printf("total_written = %zu\n", total_written);
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return total_written;
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return total_written;
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}
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}
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@ -781,7 +788,7 @@ struct gguf_file_saver {
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default: GGML_ASSERT(false);
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default: GGML_ASSERT(false);
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}
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}
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write_tensor_info(tensor);
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write_tensor_info(tensor, new_type);
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file.write_raw(new_data, new_size);
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file.write_raw(new_data, new_size);
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size_t padded_size = GGML_PAD(new_size, GGUF_DEFAULT_ALIGNMENT); // TODO: handle custom alignment
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size_t padded_size = GGML_PAD(new_size, GGUF_DEFAULT_ALIGNMENT); // TODO: handle custom alignment
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size_t pad = padded_size - new_size;
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size_t pad = padded_size - new_size;
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12
gguf-util.h
12
gguf-util.h
@ -109,18 +109,22 @@ struct gguf_file {
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size_t write_str(const std::string & val) {
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size_t write_str(const std::string & val) {
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size_t total_written = 0;
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size_t total_written = 0;
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const int32_t n = val.size();
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const int32_t n = val.size();
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total_written += fwrite((const char *) &n, sizeof(n), 1, fp);
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fwrite((const char *) &n, sizeof(n), 1, fp);
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total_written += fwrite(val.c_str(), n, 1, fp);
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total_written += sizeof(n);
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fwrite(val.c_str(), n, 1, fp);
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total_written += n;
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return total_written;
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return total_written;
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}
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}
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size_t write_i32(int32_t val) {
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size_t write_i32(int32_t val) {
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return fwrite((const char *) &val, sizeof(val), 1, fp);
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fwrite((const char *) &val, sizeof(val), 1, fp);
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return sizeof(val);
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}
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}
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size_t write_u64(size_t val) {
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size_t write_u64(size_t val) {
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return fwrite((const char *) &val, sizeof(val), 1, fp);
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fwrite((const char *) &val, sizeof(val), 1, fp);
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return sizeof(val);
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}
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}
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void write_raw(const void * data, size_t size) {
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void write_raw(const void * data, size_t size) {
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