vbatts/llama.cpp
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llama : remove unused llama_hparams defaults

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Cebtenzzre 2023-09-13 22:36:42 -04:00
parent 7ddf185537
commit 78c45b7975
1 changed files with 14 additions and 15 deletions
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llama.cpp
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@ -929,23 +929,22 @@ static const size_t kB = 1024;
static const size_t MB = kB*kB;
static const size_t GB = kB*kB*kB;
// default hparams (LLaMA 7B)
struct llama_hparams {
uint32_t n_vocab = 32000;
uint32_t n_ctx_train = 2048; // the context size used during training
uint32_t n_ctx = 512; // the context size used during inference
uint32_t n_embd = 4096;
uint32_t n_head = 32;
uint32_t n_head_kv = 32;
uint32_t n_layer = 32;
uint32_t n_rot = 64;
uint32_t n_ff = 11008;
uint32_t n_vocab;
uint32_t n_ctx_train; // context size the model was trained on
uint32_t n_ctx; // context size used during inference
uint32_t n_embd;
uint32_t n_head;
uint32_t n_head_kv;
uint32_t n_layer;
uint32_t n_rot;
uint32_t n_ff;
float f_norm_eps = 1e-5;
float f_norm_rms_eps = 1e-5;
float f_norm_eps;
float f_norm_rms_eps;
float rope_freq_base = 10000.0f;
float rope_freq_scale = 1.0f;
float rope_freq_base;
float rope_freq_scale;
bool operator!=(const llama_hparams & other) const {
return static_cast<bool>(memcmp(this, &other, sizeof(llama_hparams))); // NOLINT
@ -1076,7 +1075,7 @@ struct llama_model {
std::string name = "n/a";
llama_hparams hparams;
llama_hparams hparams = {};
llama_vocab vocab;
struct ggml_tensor * tok_embeddings;