model: add Solar Open model (#18511)
* model: add Solar-Open model * vocab: add solar-open to end eog blacklist * model: add proper llm type * chat: basic template for solar open * typo: fix comment about vocab * convert: sugested changes * convert: suggested changes * chat: change reasoning end tag for solar-open * llama-chat: add solar-open template
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+15
-5
@@ -355,6 +355,7 @@ struct llm_tokenizer_bpe : llm_tokenizer {
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case LLAMA_VOCAB_PRE_TYPE_STABLELM2:
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case LLAMA_VOCAB_PRE_TYPE_QWEN2:
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case LLAMA_VOCAB_PRE_TYPE_HUNYUAN:
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case LLAMA_VOCAB_PRE_TYPE_SOLAR_OPEN:
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regex_exprs = {
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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}| ?[^\\s\\p{L}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+"
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@@ -2015,6 +2016,10 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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tokenizer_pre == "minimax-m2") {
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pre_type = LLAMA_VOCAB_PRE_TYPE_MINIMAX_M2;
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clean_spaces = false;
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} else if (
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tokenizer_pre == "solar-open") {
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pre_type = LLAMA_VOCAB_PRE_TYPE_SOLAR_OPEN;
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clean_spaces = false;
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} else {
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throw std::runtime_error(format("unknown pre-tokenizer type: '%s'", tokenizer_pre.c_str()));
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}
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@@ -2358,6 +2363,8 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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|| t.first == "<|end|>"
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|| t.first == "<|return|>" // o200k_harmony
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|| t.first == "<|call|>" // o200k_harmony
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|| t.first == "<|flush|>" // solar-open
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|| t.first == "<|calls|>" // solar-open
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|| t.first == "<end_of_turn>"
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|| t.first == "<|endoftext|>"
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|| t.first == "<|eom_id|>"
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@@ -2404,13 +2411,14 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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LLAMA_LOG_WARN("%s: special_eom_id is not in special_eog_ids - the tokenizer config may be incorrect\n", __func__);
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}
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// TODO: workaround for o200k_harmony tokenizer: the "<|end|>" token should not be EOG
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// we don't have a good way to detect this, so for now, if we have "<|return|>" and "<|call|>" tokens,
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// TODO: workaround for o200k_harmony and solar-open tokenizer: the "<|end|>" token should not be EOG
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// we don't have a good way to detect this, so for now, if we have "<|return|>" and "<|call|>" tokens ("<|calls|>" and "<|flush|>" for solar-open),
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// we remove the "<|end|>" token from the EOG list
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{
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bool has_return = false;
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bool has_call = false;
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bool has_end = false;
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bool has_flush = false;
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llama_token end_id = LLAMA_TOKEN_NULL;
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@@ -2420,18 +2428,20 @@ void llama_vocab::impl::load(llama_model_loader & ml, const LLM_KV & kv) {
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if (id_to_token[tid].text == "<|return|>") {
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has_return = true;
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} else if (id_to_token[tid].text == "<|call|>") {
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} else if (id_to_token[tid].text == "<|call|>" || id_to_token[tid].text == "<|calls|>") {
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has_call = true;
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} else if (id_to_token[tid].text == "<|flush|>") {
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has_flush = true;
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} else if (id_to_token[tid].text == "<|end|>") {
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has_end = true;
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end_id = tid;
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}
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}
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if (has_return && has_call && has_end) {
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if ((has_return && has_call && has_end) || (has_call && has_flush && has_end)) {
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special_eog_ids.erase(end_id);
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id_to_token[end_id].attr = LLAMA_TOKEN_ATTR_USER_DEFINED;
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LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
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LLAMA_LOG_WARN("%s: special_eog_ids contains both '<|return|>' and '<|call|>', or '<|calls|>' and '<|flush|>' tokens, removing '<|end|>' token from EOG list\n", __func__);
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}
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}
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}
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