vbatts/llama.cpp
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llama : add llama_vocab, functions -> methods, naming (#11110)

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* 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)

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

* llama : update API names to use correct prefix

ggml-ci

* cont

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* cont

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* 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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6
examples/llama.swiftui/llama.cpp.swift/LibLlama.swift
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@ -52,8 +52,8 @@ actor LlamaContext {
deinit {
llama_sampler_free(sampling)
llama_batch_free(batch)
llama_model_free(model)
llama_free(context)
llama_free_model(model)
llama_backend_free()
}
@ -65,7 +65,7 @@ actor LlamaContext {
model_params.n_gpu_layers = 0
print("Running on simulator, force use n_gpu_layers = 0")
#endif
let model = llama_load_model_from_file(path, model_params)
let model = llama_model_load_from_file(path, model_params)
guard let model else {
print("Could not load model at \(path)")
throw LlamaError.couldNotInitializeContext
@ -151,7 +151,7 @@ actor LlamaContext {
new_token_id = llama_sampler_sample(sampling, context, batch.n_tokens - 1)
if llama_token_is_eog(model, new_token_id) || n_cur == n_len {
if llama_vocab_is_eog(model, new_token_id) || n_cur == n_len {
print("\n")
is_done = true
let new_token_str = String(cString: temporary_invalid_cchars + [0])