mtmd, model : merge HunyuanOCR into HunyuanVL and fix OCR vision precision (#23329)

- HunyuanOCR shares the same HF arch and vision layout as HunyuanVL butwas split into a separate path that skipped the +0.1 bilinear sampler used by the HF reference.
- Collapse OCR into the HUNYUANVL projector + HUNYUAN_VL text arch

gguf-py/gguf/constants.py

@@ -747,7 +747,7 @@ class MODEL_TENSOR(IntEnum):
     V_LAYER_OUT_SCALE    = auto()
     V_PRE_NORM           = auto()
     V_POST_NORM          = auto()
-    V_MM_PRE_NORM        = auto() # hunyuanocr
+    V_MM_PRE_NORM        = auto() # hunyuanvl
     V_MM_POST_NORM       = auto()
     V_MM_INP_NORM        = auto()
     V_MM_INP_PROJ        = auto() # gemma3
@@ -791,8 +791,8 @@ class MODEL_TENSOR(IntEnum):
     V_MM_GATE            = auto() # cogvlm
     V_TOK_BOI            = auto() # cogvlm
     V_TOK_EOI            = auto() # cogvlm
-    V_TOK_IMG_BEGIN      = auto() # hunyuanocr
-    V_TOK_IMG_END        = auto() # hunyuanocr
+    V_TOK_IMG_BEGIN      = auto() # hunyuanvl
+    V_TOK_IMG_END        = auto() # hunyuanvl
     V_STD_BIAS           = auto() # gemma4
     V_STD_SCALE          = auto() # gemma4
     V_SAM_POS_EMBD       = auto() # Deepseek-OCR
@@ -4273,7 +4273,6 @@ class VisionProjectorType:
     GLM4V = "glm4v"
     YOUTUVL = "youtuvl"
     NEMOTRON_V2_VL = "nemotron_v2_vl"
-    HUNYUANOCR     = "hunyuanocr"
     HUNYUANVL      = "hunyuanvl"
     MINICPMV4_6    = "minicpmv4_6"
     GRANITE_SPEECH = "granite_speech"  # audio

gguf-py/gguf/tensor_mapping.py

@@ -1366,7 +1366,7 @@ class TensorNameMap:
             "mlp_AR.linear_{bid}", # PaddleOCR-VL
             "merger.mlp.{bid}",
             "vision_tower.merger.mlp.{bid}", # dots.ocr
-            "vit.perceive.proj.{bid}", # HunyuanOCR (proj.0 = conv1, proj.2 = conv2)
+            "vit.perceive.proj.{bid}", # HunyuanVL (proj.0 = conv1, proj.2 = conv2)
         ),
 
         MODEL_TENSOR.V_MMPROJ_FC: (
@@ -1374,7 +1374,7 @@ class TensorNameMap:
             "model.vision.linear_proj.linear_proj", # cogvlm
             "model.projector.layers", # Deepseek-OCR
             "visual.merger.proj", # glm4v
-            "vit.perceive.mlp", # HunyuanOCR
+            "vit.perceive.mlp", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_MMPROJ_MLP: (
@@ -1403,7 +1403,7 @@ class TensorNameMap:
             "model.vision_tower.embeddings.patch_embeddings.projection", # Intern-S1
             "vpm.embeddings.patch_embedding",
             "model.vision_model.embeddings.patch_embedding", # SmolVLM
-            "vit.embeddings.patch_embedding", # HunyuanOCR
+            "vit.embeddings.patch_embedding", # HunyuanVL
             "vision_tower.patch_conv", # pixtral-hf
             "vision_encoder.patch_conv", # pixtral
             "vision_model.patch_embedding.linear", # llama 4
@@ -1429,7 +1429,7 @@ class TensorNameMap:
             "model.vision_tower.embeddings.position_embeddings", # Intern-S1
             "vpm.embeddings.position_embedding",
             "model.vision_model.embeddings.position_embedding", # SmolVLM
-            "vit.embeddings.position_embedding", # HunyuanOCR
+            "vit.embeddings.position_embedding", # HunyuanVL
             "vision_model.positional_embedding_vlm", # llama 4
             "vision_tower.patch_embed.pos_emb", # kimi-vl
             "visual.pos_embed", # qwen3vl
@@ -1442,12 +1442,12 @@ class TensorNameMap:
 
         MODEL_TENSOR.V_ENC_EMBD_IMGNL: (
             "model.image_newline",  # Deepseek-OCR
-            "vit.perceive.image_newline", # HunyuanOCR
+            "vit.perceive.image_newline", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_ENC_EMBD_VSEP: (
             "model.view_seperator",  # Deepseek-OCR
-            "vit.perceive.image_sep", # HunyuanOCR
+            "vit.perceive.image_sep", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_ENC_ATTN_QKV: (
@@ -1466,7 +1466,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.q_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.q_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.q_proj", # SmolVLM
-            "vit.layers.{bid}.self_attn.q_proj", # HunyuanOCR
+            "vit.layers.{bid}.self_attn.q_proj", # HunyuanVL
             "vision_model.model.layers.{bid}.self_attn.q_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.q_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wq", # pixtral
@@ -1490,7 +1490,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.k_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.k_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.k_proj", # SmolVLM
-            "vit.layers.{bid}.self_attn.k_proj", # HunyuanOCR
+            "vit.layers.{bid}.self_attn.k_proj", # HunyuanVL
             "vision_model.model.layers.{bid}.self_attn.k_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.k_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wk", # pixtral
@@ -1514,7 +1514,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.v_proj", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.v_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.v_proj", # SmolVLM
-            "vit.layers.{bid}.self_attn.v_proj", # HunyuanOCR
+            "vit.layers.{bid}.self_attn.v_proj", # HunyuanVL
             "vision_model.model.layers.{bid}.self_attn.v_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.v_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention.wv", # pixtral
@@ -1532,7 +1532,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.layernorm_before", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm1",
             "model.vision_model.encoder.layers.{bid}.layer_norm1", # SmolVLM
-            "vit.layers.{bid}.input_layernorm", # HunyuanOCR
+            "vit.layers.{bid}.input_layernorm", # HunyuanVL
             "vision_tower.transformer.layers.{bid}.attention_norm", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.attention_norm", # pixtral
             "vision_model.model.layers.{bid}.input_layernorm", # llama4, gemma4
@@ -1553,7 +1553,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.attention.projection_layer", # Intern-S1
             "vpm.encoder.layers.{bid}.self_attn.out_proj",
             "model.vision_model.encoder.layers.{bid}.self_attn.out_proj", # SmolVLM
-            "vit.layers.{bid}.self_attn.o_proj", # HunyuanOCR
+            "vit.layers.{bid}.self_attn.o_proj", # HunyuanVL
             "model.vision_model.encoder.layers.{bid}.self_attn.projection_layer", # Janus Pro
             "vision_model.model.layers.{bid}.self_attn.o_proj", # llama4
             "vision_tower.transformer.layers.{bid}.attention.o_proj", # pixtral-hf
@@ -1580,7 +1580,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.layernorm_after", # Intern-S1
             "vpm.encoder.layers.{bid}.layer_norm2",
             "model.vision_model.encoder.layers.{bid}.layer_norm2", # SmolVLM
-            "vit.layers.{bid}.post_attention_layernorm", # HunyuanOCR
+            "vit.layers.{bid}.post_attention_layernorm", # HunyuanVL
             "vision_model.model.layers.{bid}.post_attention_layernorm", # llama4
             "vision_tower.transformer.layers.{bid}.ffn_norm", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.ffn_norm", # pixtral
@@ -1601,7 +1601,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.mlp.fc1", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc1",
             "model.vision_model.encoder.layers.{bid}.mlp.fc1", # SmolVLM, gemma3
-            "vit.layers.{bid}.mlp.dense_h_to_4h", # HunyuanOCR
+            "vit.layers.{bid}.mlp.dense_h_to_4h", # HunyuanVL
             "vision_tower.transformer.layers.{bid}.feed_forward.up_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.feed_forward.w3", # pixtral
             "vision_model.model.layers.{bid}.mlp.fc1", # llama4
@@ -1630,7 +1630,7 @@ class TensorNameMap:
             "model.vision_tower.encoder.layer.{bid}.mlp.fc2", # Intern-S1
             "vpm.encoder.layers.{bid}.mlp.fc2",
             "model.vision_model.encoder.layers.{bid}.mlp.fc2", # SmolVLM, gemma3
-            "vit.layers.{bid}.mlp.dense_4h_to_h", # HunyuanOCR
+            "vit.layers.{bid}.mlp.dense_4h_to_h", # HunyuanVL
             "vision_tower.transformer.layers.{bid}.feed_forward.down_proj", # pixtral-hf
             "vision_encoder.transformer.layers.{bid}.feed_forward.w2", # pixtral
             "vision_model.model.layers.{bid}.mlp.fc2", # llama4
@@ -1694,7 +1694,7 @@ class TensorNameMap:
         MODEL_TENSOR.V_MM_POST_NORM: (
             "visual.merger.post_projection_norm", # glm4v
             "vision_tower.post_trunk_norm", # dots.ocr
-            "vit.perceive.after_rms", # HunyuanOCR
+            "vit.perceive.after_rms", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_MM_INP_PROJ: (
@@ -1899,15 +1899,15 @@ class TensorNameMap:
         ),
 
         MODEL_TENSOR.V_MM_PRE_NORM: (
-            "vit.perceive.before_rms", # HunyuanOCR
+            "vit.perceive.before_rms", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_TOK_IMG_BEGIN: (
-            "vit.perceive.image_begin", # HunyuanOCR
+            "vit.perceive.image_begin", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_TOK_IMG_END: (
-            "vit.perceive.image_end", # HunyuanOCR
+            "vit.perceive.image_end", # HunyuanVL
         ),
 
         MODEL_TENSOR.V_STD_BIAS: (