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-rw-r--r--llama.cpp60
1 files changed, 24 insertions, 36 deletions
diff --git a/llama.cpp b/llama.cpp
index 79b48897..358bf5ec 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -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;
-
- float f_norm_eps = 1e-5;
- float f_norm_rms_eps = 1e-5;
-
- float rope_freq_base = 10000.0f;
- float rope_freq_scale = 1.0f;
+ 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;
+ float f_norm_rms_eps;
+
+ 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;
@@ -1674,28 +1673,17 @@ static void llm_load_hparams(
hparams.n_head_kv = hparams.n_head;
GGUF_GET_KEY(ctx, hparams.n_head_kv, gguf_get_val_u32, GGUF_TYPE_UINT32, false, kv(LLM_KV_ATTENTION_HEAD_COUNT_KV));
- // TODO: manually setting rope freq base and scale should override this
- // FIXME: partial fix when the param specified is not the default value, but
- // will not work for overriding the model value to the params default
-
- llama_context_params defaults = llama_context_default_params();
-
- // rope_freq_base
- {
- float ropebase = 10000.0f;
- GGUF_GET_KEY(ctx, ropebase, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_FREQ_BASE));
- if (ropebase != 10000.0f && rope_freq_base == defaults.rope_freq_base) {
- rope_freq_base = ropebase;
- }
+ // rope_freq_base (optional)
+ if (rope_freq_base == 0.0f) {
+ rope_freq_base = 10000.0f;
+ GGUF_GET_KEY(ctx, rope_freq_base, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_FREQ_BASE));
}
// rope_freq_scale (inverse of the kv) is optional
- {
+ if (rope_freq_scale == 0.0f) {
float ropescale = 1.0f;
GGUF_GET_KEY(ctx, ropescale, gguf_get_val_f32, GGUF_TYPE_FLOAT32, false, kv(LLM_KV_ROPE_SCALE_LINEAR));
- if (ropescale != 1.0f && rope_freq_scale == defaults.rope_freq_scale) {
- rope_freq_scale = 1.0f/ropescale;
- }
+ rope_freq_scale = 1.0f/ropescale;
}
// sanity check for n_rot (optional)
@@ -6188,8 +6176,8 @@ struct llama_context_params llama_context_default_params() {
/*.n_gpu_layers =*/ 0,
/*.main_gpu =*/ 0,
/*.tensor_split =*/ nullptr,
- /*.rope_freq_base =*/ 10000.0f,
- /*.rope_freq_scale =*/ 1.0f,
+ /*.rope_freq_base =*/ 0.0f,
+ /*.rope_freq_scale =*/ 0.0f,
/*.progress_callback =*/ nullptr,
/*.progress_callback_user_data =*/ nullptr,
/*.low_vram =*/ false,