llama : add llama_vocab, functions -> methods, naming (#11110)

* llama : functions -> methods (#11110)

* llama : add struct llama_vocab to the API (#11156)

ggml-ci

* hparams : move vocab params to llama_vocab (#11159)

ggml-ci

* vocab : more pimpl (#11165)

ggml-ci

* vocab : minor tokenization optimizations (#11160)

ggml-ci

Co-authored-by: Diego Devesa <slarengh@gmail.com>

* lora : update API names (#11167)

ggml-ci

* llama : update API names to use correct prefix (#11174)

* llama : update API names to use correct prefix

ggml-ci

* cont

ggml-ci

* cont

ggml-ci

* minor [no ci]

* vocab : llama_vocab_add_[be]os -> llama_vocab_get_add_[be]os (#11174)

ggml-ci

* vocab : llama_vocab_n_vocab -> llama_vocab_n_tokens (#11174)

ggml-ci

---------

Co-authored-by: Diego Devesa <slarengh@gmail.com>
This commit is contained in:
Georgi Gerganov 2025-01-12 11:32:42 +02:00 committed by GitHub
parent c05e8c9934
commit afa8a9ec9b
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68 changed files with 5855 additions and 5400 deletions

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@ -30,7 +30,6 @@ struct llama_hparams {
bool use_par_res;
bool swin_norm;
uint32_t n_vocab = 0;
uint32_t n_ctx_train; // context size the model was trained on
uint32_t n_embd;
uint32_t n_embd_features = 0;
@ -41,7 +40,6 @@ struct llama_hparams {
uint32_t n_embd_head_v; // dimension of values (d_v) aka n_embd_head
uint32_t n_expert = 0;
uint32_t n_expert_used = 0;
uint32_t n_vocab_type = 0; // for BERT-style token types
uint32_t n_rel_attn_bkts = 0;
// for WavTokenizer