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model : add HunyuanOCR support (#21395)

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* HunyuanOCR: add support for text and vision models

- Add HunyuanOCR vision projector (perceiver-based) with Conv2d merge
- Add separate HUNYUAN_OCR chat template (content-before-role format)
- Handle HunyuanOCR's invalid pad_token_id=-1 in converter
- Fix EOS/EOT token IDs from generation_config.json
- Support xdrope RoPE scaling type
- Add tensor mappings for perceiver projector (mm.before_rms, mm.after_rms, etc.)
- Register HunYuanVLForConditionalGeneration for both text and mmproj conversion

* fix proper mapping

* Update gguf-py/gguf/tensor_mapping.py

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>

* Update tools/mtmd/clip.cpp

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>

* address comments

* update

* Fix typecheck

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

* Update convert_hf_to_gguf.py

Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>

---------

Co-authored-by: Xuan-Son Nguyen <thichthat@gmail.com>
Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
This commit is contained in:
Richard Davison
2026-04-05 23:32:14 +02:00
committed by GitHub
parent 761797ffdf
commit af76639f72
12 changed files with 273 additions and 10 deletions
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src/llama-chat.cpp
+19
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@@ -73,6 +73,7 @@ static const std::map<std::string, llm_chat_template> LLM_CHAT_TEMPLATES = {
{ "hunyuan-moe", LLM_CHAT_TEMPLATE_HUNYUAN_MOE },
{ "gpt-oss", LLM_CHAT_TEMPLATE_OPENAI_MOE },
{ "hunyuan-dense", LLM_CHAT_TEMPLATE_HUNYUAN_DENSE },
{ "hunyuan-ocr", LLM_CHAT_TEMPLATE_HUNYUAN_OCR },
{ "kimi-k2", LLM_CHAT_TEMPLATE_KIMI_K2 },
{ "seed_oss", LLM_CHAT_TEMPLATE_SEED_OSS },
{ "grok-2", LLM_CHAT_TEMPLATE_GROK_2 },
@@ -216,6 +217,8 @@ llm_chat_template llm_chat_detect_template(const std::string & tmpl) {
return LLM_CHAT_TEMPLATE_HUNYUAN_MOE;
} else if (tmpl_contains("<|start|>") && tmpl_contains("<|channel|>")) {
return LLM_CHAT_TEMPLATE_OPENAI_MOE;
} else if (tmpl_contains("<｜hy_Assistant｜>") && tmpl_contains("<｜hy_begin▁of▁sentence｜>")) {
return LLM_CHAT_TEMPLATE_HUNYUAN_OCR;
} else if (tmpl_contains("<｜hy_Assistant｜>") && tmpl_contains("<｜hy_place▁holder▁no▁3｜>")) {
return LLM_CHAT_TEMPLATE_HUNYUAN_DENSE;
} else if (tmpl_contains("<|im_assistant|>assistant<|im_middle|>")) {
@@ -822,6 +825,22 @@ int32_t llm_chat_apply_template(
ss << "<｜hy_User｜>" << chat[i]->content << "<｜hy_Assistant｜>";
}
}
} else if (tmpl == LLM_CHAT_TEMPLATE_HUNYUAN_OCR) {
// tencent/HunyuanOCR
ss << "<｜hy_begin▁of▁sentence｜>";
for (size_t i = 0; i < chat.size(); i++) {
std::string role(chat[i]->role);
if (i == 0 && role == "system") {
ss << chat[i]->content << "<｜hy_place▁holder▁no▁3｜>";
continue;
}
if (role == "user") {
ss << chat[i]->content << "<｜hy_User｜>";
} else if (role == "assistant") {
ss << chat[i]->content << "<｜hy_Assistant｜>";
}
}
} else if (tmpl == LLM_CHAT_TEMPLATE_KIMI_K2) {
// moonshotai/Kimi-K2-Instruct
for (auto message : chat) {