docs : Minor cleanups (#19252)
* Update old URLs to github.com/ggml-org/ * Bump copyrights
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@@ -233,7 +233,7 @@ int32_t llm_chat_apply_template(
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llm_chat_template tmpl,
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const std::vector<const llama_chat_message *> & chat,
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std::string & dest, bool add_ass) {
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// Taken from the research: https://github.com/ggerganov/llama.cpp/issues/5527
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// Taken from the research: https://github.com/ggml-org/llama.cpp/issues/5527
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std::stringstream ss;
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if (tmpl == LLM_CHAT_TEMPLATE_CHATML) {
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// chatml template
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@@ -195,7 +195,7 @@ struct llama_hparams {
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uint32_t n_deepstack_layers = 0;
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// needed by encoder-decoder models (e.g. T5, FLAN-T5)
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// ref: https://github.com/ggerganov/llama.cpp/pull/8141
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// ref: https://github.com/ggml-org/llama.cpp/pull/8141
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llama_token dec_start_token_id = LLAMA_TOKEN_NULL;
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uint32_t dec_n_layer = 0;
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@@ -90,7 +90,7 @@ static_assert(std::is_trivially_copyable<llm_symbol>::value, "llm_symbol is not
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//
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// SPM tokenizer
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// original implementation:
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// https://github.com/ggerganov/llama.cpp/commit/074bea2eb1f1349a0118239c4152914aecaa1be4
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// https://github.com/ggml-org/llama.cpp/commit/074bea2eb1f1349a0118239c4152914aecaa1be4
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//
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struct llm_bigram_spm {
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@@ -285,7 +285,7 @@ struct llm_tokenizer_bpe : llm_tokenizer {
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// original regex from tokenizer.json
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//"(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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// adapted: https://github.com/ggerganov/llama.cpp/pull/6920#issuecomment-2080233989
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// adapted: https://github.com/ggml-org/llama.cpp/pull/6920#issuecomment-2080233989
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"(?:'[sS]|'[tT]|'[rR][eE]|'[vV][eE]|'[mM]|'[lL][lL]|'[dD])|[^\\r\\n\\p{L}\\p{N}]?\\p{L}+|\\p{N}{1,3}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
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};
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break;
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@@ -2390,7 +2390,7 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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// maintain a list of tokens that cause end-of-generation
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// this is currently determined based on the token text, which is obviously not ideal
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// ref: https://github.com/ggerganov/llama.cpp/issues/9606
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// ref: https://github.com/ggml-org/llama.cpp/issues/9606
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special_eog_ids.clear();
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if (special_fim_pad_id != LLAMA_TOKEN_NULL && special_eog_ids.count(special_fim_pad_id) == 0) {
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@@ -3079,7 +3079,7 @@ std::vector<llama_token> llama_vocab::impl::tokenize(
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}
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int32_t llama_vocab::impl::token_to_piece(llama_token token, char * buf, int32_t length, int32_t lstrip, bool special) const {
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// ref: https://github.com/ggerganov/llama.cpp/pull/7587#discussion_r1620983843
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// ref: https://github.com/ggml-org/llama.cpp/pull/7587#discussion_r1620983843
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static const int attr_special = LLAMA_TOKEN_ATTR_UNKNOWN | LLAMA_TOKEN_ATTR_CONTROL;
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const llama_token_attr attr = token_get_attr(token);
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if (!special && (attr & attr_special)) {
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@@ -14,7 +14,7 @@ llm_build_deepseek2::llm_build_deepseek2(const llama_model & model, const llm_gr
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const uint32_t kv_lora_rank = hparams.n_lora_kv;
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// We have to pre-scale kq_scale and attn_factor to make the YaRN RoPE work correctly.
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// See https://github.com/ggerganov/llama.cpp/discussions/7416 for detailed explanation.
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// See https://github.com/ggml-org/llama.cpp/discussions/7416 for detailed explanation.
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// And also: https://github.com/ggml-org/llama.cpp/pull/17945 [TAG_DEEPSEEK2_YARN_LOG_MUL_FIX]
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// first cancel the adjustment from llama_hparams::yarn_attn_factor_adjust to get the original attn_factor
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