cmdline option for custom amount of model parts (--n_parts N)

main.cpp

@@ -90,7 +90,7 @@ struct llama_model {
 };
 
 // load the model's weights from a file
-bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab & vocab, int n_ctx, ggml_type memory_type = GGML_TYPE_F32) {
+bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab & vocab, int n_ctx, int n_parts, ggml_type memory_type = GGML_TYPE_F32) {
  fprintf(stderr, "%s: loading model from '%s' - please wait ...\n", __func__, fname.c_str());
 
  std::vector<char> f_buf(1024*1024);
@@ -127,7 +127,6 @@ bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab
  }
 
  int n_ff = 0;
- int n_parts = 0;
 
  // load hparams
  {
@@ -145,7 +144,9 @@ bool llama_model_load(const std::string & fname, llama_model & model, gpt_vocab
  hparams.n_ctx = n_ctx;
 
  n_ff = ((2*(4*hparams.n_embd)/3 + hparams.n_mult - 1)/hparams.n_mult)*hparams.n_mult;
- n_parts = LLAMA_N_PARTS.at(hparams.n_embd);
+
+ if (n_parts < 1)
+ n_parts = LLAMA_N_PARTS.at(hparams.n_embd);
 
  fprintf(stderr, "%s: n_vocab = %d\n", __func__, hparams.n_vocab);
  fprintf(stderr, "%s: n_ctx = %d\n", __func__, hparams.n_ctx);
@@ -839,7 +840,7 @@ int main(int argc, char ** argv) {
  {
  const ggml_type memory_type = params.memory_f16 ? GGML_TYPE_F16 : GGML_TYPE_F32;
  const int64_t t_start_us = ggml_time_us();
- if (!llama_model_load(params.model, model, vocab, params.n_ctx, memory_type)) {
+ if (!llama_model_load(params.model, model, vocab, params.n_ctx, params.n_parts, memory_type)) {
  fprintf(stderr, "%s: failed to load model from '%s'\n", __func__, params.model.c_str());
  return 1;
  }

utils.cpp

@@ -74,6 +74,8 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
  params.antiprompt.push_back(argv[++i]);
  } else if (arg == "--ignore-eos") {
  params.ignore_eos = true;
+ } else if (arg == "--n_parts") {
+ params.n_parts = std::stoi(argv[++i]);
  } else if (arg == "-h" || arg == "--help") {
  gpt_print_usage(argc, argv, params);
  exit(0);
@@ -116,6 +118,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
  fprintf(stderr, " --ignore-eos ignore end of stream token and continue generating\n");
  fprintf(stderr, " --memory_f16 use f16 instead of f32 for memory key+value\n");
  fprintf(stderr, " --temp N temperature (default: %.1f)\n", params.temp);
+ fprintf(stderr, " --n_parts N number of model parts (default: -1 = determine from dimensions)\n");
  fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
  fprintf(stderr, " -m FNAME, --model FNAME\n");
  fprintf(stderr, " model path (default: %s)\n", params.model.c_str());

utils.h

@@ -19,6 +19,7 @@ struct gpt_params {
  int32_t repeat_last_n = 64; // last n tokens to penalize
  int32_t n_ctx = 512; //context size
  bool memory_f16 = false; // use f16 instead of f32 for memory kv
+ int32_t n_parts = -1; // amount of model parts (-1 = determine from model dimensions)
 
  // sampling parameters
  int32_t top_k = 40;