Add MLX weights and pipeline config

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+weights/ocr/tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,5 +1,56 @@
 ---
+language:
+- en
+- as
+- bn
+- hi
+- mr
+- ta
+- te
+tags:
+- mlx
+- ocr
+- document-parsing
+- indic
+library_name: mlx-vlm
+pipeline_tag: image-text-to-text
 license: other
 license_name: indic-open-model-license-1.0
 license_link: LICENSE
+base_model: bodhan-ai/indic-ocr
 ---
+
+# indic-ocr-mlx
+
+MLX port of [bodhan-ai/indic-ocr](https://huggingface.co/bodhan-ai/indic-ocr)
+(multilingual document parsing for English and 22 Indian languages).
+Same two-stage layout as upstream:
+
+| Stage | Dir | Model | Format |
+|-------|-----|-------|--------|
+| IndicDocLayout | `weights/layout` | PP-DocLayoutV3/RT-DETR, 37 classes + reading order | float32 |
+| IndicBlockOCR | `weights/ocr` | Qwen3.5-0.8B | bf16, not quantized |
+
+```python
+from mlx_vlm.models.indic_ocr.pipeline import IndicOCRParser
+
+with IndicOCRParser.from_pretrained("HashNuke/indic-ocr-mlx") as parser:
+    page = parser.parse("page.png")
+
+print(page.markdown)
+page.save("page.json")
+```
+
+Stages also load standalone with standard tooling:
+
+```python
+from pathlib import Path
+from mlx_vlm import load
+from mlx_vlm.utils import load_model
+
+layout = load_model(Path("HashNuke/indic-ocr-mlx/weights/layout"))
+ocr, processor = load("HashNuke/indic-ocr-mlx/weights/ocr")
+```
+
+Original weights: `bodhan-ai/indic-ocr` (gated, Indic Open Model License
+v1.0). Port code: `mlx_vlm/models/indic_ocr` in mlx-vlm.

config.json

@@ -0,0 +1,18 @@
+{
+  "model_type": "indic_ocr",
+  "pipeline": "two-stage",
+  "stages": {
+    "layout": {
+      "name": "IndicDocLayout",
+      "config": "weights/layout/config.json",
+      "weights": "weights/layout/model.safetensors"
+    },
+    "ocr": {
+      "name": "IndicBlockOCR",
+      "config": "weights/ocr/config.json",
+      "weights": "weights/ocr/model.safetensors"
+    }
+  },
+  "entrypoint": "mlx_vlm.models.indic_ocr.pipeline.IndicOCRParser.from_pretrained",
+  "note": "MLX port of bodhan-ai/indic-ocr. Load a stage directly (weights/layout, weights/ocr) or use IndicOCRParser.from_pretrained(repo) for both."
+}

weights/layout/config.json

@@ -0,0 +1,292 @@
+{
+  "activation_dropout": 0.0,
+  "activation_function": "silu",
+  "anchor_image_size": null,
+  "architectures": [
+    "PPDocLayoutV3Trainable"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": true,
+  "backbone": null,
+  "backbone_config": {
+    "arch": "L",
+    "depths": [
+      3,
+      4,
+      6,
+      3
+    ],
+    "dtype": "float32",
+    "embedding_size": 64,
+    "freeze_at": 0,
+    "freeze_norm": true,
+    "freeze_stem_only": true,
+    "hidden_act": "relu",
+    "hidden_sizes": [
+      256,
+      512,
+      1024,
+      2048
+    ],
+    "initializer_range": 0.02,
+    "lr_mult_list": [
+      0,
+      0.05,
+      0.05,
+      0.05,
+      0.05
+    ],
+    "model_type": "hgnet_v2",
+    "num_channels": 3,
+    "out_features": [
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "out_indices": [
+      1,
+      2,
+      3,
+      4
+    ],
+    "return_idx": [
+      0,
+      1,
+      2,
+      3
+    ],
+    "stage_downsample": [
+      false,
+      true,
+      true,
+      true
+    ],
+    "stage_downsample_strides": [
+      2,
+      2,
+      2,
+      2
+    ],
+    "stage_in_channels": [
+      48,
+      128,
+      512,
+      1024
+    ],
+    "stage_kernel_size": [
+      3,
+      3,
+      5,
+      5
+    ],
+    "stage_light_block": [
+      false,
+      false,
+      true,
+      true
+    ],
+    "stage_mid_channels": [
+      48,
+      96,
+      192,
+      384
+    ],
+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
+    "stage_num_blocks": [
+      1,
+      1,
+      3,
+      1
+    ],
+    "stage_numb_of_layers": [
+      6,
+      6,
+      6,
+      6
+    ],
+    "stage_out_channels": [
+      128,
+      512,
+      1024,
+      2048
+    ],
+    "stem_channels": [
+      3,
+      32,
+      48
+    ],
+    "stem_strides": [
+      2,
+      1,
+      1,
+      2,
+      1
+    ],
+    "use_learnable_affine_block": false
+  },
+  "batch_norm_eps": 1e-05,
+  "box_noise_scale": 1.0,
+  "d_model": 256,
+  "decoder_activation_function": "relu",
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 1024,
+  "decoder_in_channels": [
+    256,
+    256,
+    256
+  ],
+  "decoder_layers": 6,
+  "decoder_n_points": 4,
+  "disable_custom_kernels": true,
+  "dropout": 0.0,
+  "dtype": "float32",
+  "encode_proj_layers": [
+    2
+  ],
+  "encoder_activation_function": "gelu",
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 1024,
+  "encoder_hidden_dim": 256,
+  "encoder_in_channels": [
+    512,
+    1024,
+    2048
+  ],
+  "encoder_layers": 1,
+  "eos_coefficient": 0.0001,
+  "eval_size": null,
+  "feat_strides": [
+    8,
+    16,
+    32
+  ],
+  "feature_strides": [
+    8,
+    16,
+    32
+  ],
+  "focal_loss_alpha": 0.25,
+  "focal_loss_gamma": 2.0,
+  "freeze_backbone_batch_norms": true,
+  "global_pointer_head_size": 64,
+  "gp_dropout_value": 0.1,
+  "hidden_expansion": 1.0,
+  "id2label": {
+    "0": "Question",
+    "1": "Paragraph",
+    "2": "Answer",
+    "3": "List",
+    "4": "Title",
+    "5": "Section-title",
+    "6": "Equation",
+    "7": "Table",
+    "8": "Diagram",
+    "9": "Image",
+    "10": "MCQ",
+    "11": "Infobox",
+    "12": "Sub-section-title",
+    "13": "Expression",
+    "14": "Image-caption",
+    "15": "Placeholder-text",
+    "16": "Chart",
+    "17": "Solved-example",
+    "18": "Footnote",
+    "19": "Table-caption",
+    "20": "Sub-sub-section-title",
+    "21": "Footer",
+    "22": "Header",
+    "23": "Code",
+    "24": "Page-number",
+    "25": "Chapter-title",
+    "26": "Chapter-end-section",
+    "27": "Folio",
+    "28": "Reference",
+    "29": "Table-of-contents",
+    "30": "Index",
+    "31": "Advertisement",
+    "32": "Author",
+    "33": "Dateline",
+    "34": "Contact-info",
+    "35": "Website-link",
+    "36": "Flag"
+  },
+  "initializer_bias_prior_prob": null,
+  "initializer_range": 0.01,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "Advertisement": 31,
+    "Answer": 2,
+    "Author": 32,
+    "Chapter-end-section": 26,
+    "Chapter-title": 25,
+    "Chart": 16,
+    "Code": 23,
+    "Contact-info": 34,
+    "Dateline": 33,
+    "Diagram": 8,
+    "Equation": 6,
+    "Expression": 13,
+    "Flag": 36,
+    "Folio": 27,
+    "Footer": 21,
+    "Footnote": 18,
+    "Header": 22,
+    "Image": 9,
+    "Image-caption": 14,
+    "Index": 30,
+    "Infobox": 11,
+    "List": 3,
+    "MCQ": 10,
+    "Page-number": 24,
+    "Paragraph": 1,
+    "Placeholder-text": 15,
+    "Question": 0,
+    "Reference": 28,
+    "Section-title": 5,
+    "Solved-example": 17,
+    "Sub-section-title": 12,
+    "Sub-sub-section-title": 20,
+    "Table": 7,
+    "Table-caption": 19,
+    "Table-of-contents": 29,
+    "Title": 4,
+    "Website-link": 35
+  },
+  "label_noise_ratio": 0.5,
+  "lambda_order": 5.0,
+  "layer_norm_eps": 1e-05,
+  "learn_initial_query": false,
+  "loss_type": "RTDetrForObjectDetection",
+  "mask_enhanced": true,
+  "mask_feature_channels": [
+    64,
+    64
+  ],
+  "matcher_alpha": 0.25,
+  "matcher_bbox_cost": 5.0,
+  "matcher_class_cost": 2.0,
+  "matcher_gamma": 2.0,
+  "matcher_giou_cost": 2.0,
+  "model_type": "pp_doclayout_v3",
+  "normalize_before": false,
+  "num_denoising": 0,
+  "num_feature_levels": 3,
+  "num_prototypes": 32,
+  "num_queries": 300,
+  "positional_encoding_temperature": 10000,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.1",
+  "use_cache": false,
+  "use_focal_loss": true,
+  "weight_loss_bbox": 5.0,
+  "weight_loss_giou": 2.0,
+  "weight_loss_vfl": 1.0,
+  "x4_feat_dim": 128
+}

weights/layout/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2f455135ae031039bb3d913c225d96aa15b3eab27ba6655ce8c7a4ebe56ea9a
+size 133245077

weights/ocr/chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is true %}
+        {{- '<think>\n' }}
+    {%- else %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

weights/ocr/config.json

@@ -0,0 +1,155 @@
+{
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "chunk_size_feed_forward": 0,
+  "dtype": "bfloat16",
+  "eos_token_id": 262146,
+  "generation_config": {
+    "_from_model_config": true,
+    "eos_token_id": 262146,
+    "transformers_version": "5.6.2",
+    "use_cache": true
+  },
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "image_token_id": 262155,
+  "is_encoder_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "model_type": "indic_ocr",
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "problem_type": null,
+  "return_dict": true,
+  "text_config": {
+    "_name_or_path": "",
+    "architectures": null,
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "dtype": "bfloat16",
+    "eos_token_id": 262146,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3584,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
+    "linear_key_head_dim": 128,
+    "linear_num_key_heads": 16,
+    "linear_num_value_heads": 16,
+    "linear_value_head_dim": 128,
+    "mamba_ssm_dtype": "float32",
+    "max_position_embeddings": 262144,
+    "mlp_only_layers": [],
+    "model_type": "qwen3_5_text",
+    "mtp_num_hidden_layers": 1,
+    "mtp_use_dedicated_embeddings": false,
+    "num_attention_heads": 8,
+    "num_hidden_layers": 24,
+    "num_key_value_heads": 2,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "pad_token_id": 262144,
+    "partial_rotary_factor": 0.25,
+    "problem_type": null,
+    "return_dict": true,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        11,
+        11,
+        10
+      ],
+      "partial_rotary_factor": 0.25,
+      "rope_theta": 10000000,
+      "rope_type": "default"
+    },
+    "tie_word_embeddings": true,
+    "use_cache": false,
+    "vocab_size": 262157
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.6.2",
+  "use_cache": false,
+  "video_token_id": 262156,
+  "vision_config": {
+    "_name_or_path": "",
+    "architectures": null,
+    "chunk_size_feed_forward": 0,
+    "deepstack_visual_indexes": [],
+    "depth": 12,
+    "dtype": "bfloat16",
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "model_type": "qwen3_5_vision",
+    "num_heads": 12,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 1024,
+    "output_attentions": false,
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