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README.md

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+---
+license: apache-2.0
+language:
+- en
+tags:
+- multimodal
+- vision-language
+- openvino
+- optimum-intel
+- testing
+- tiny-model
+- minicpmo
+base_model: openbmb/MiniCPM-o-2_6
+library_name: transformers
+pipeline_tag: image-text-to-text
+---
+
+# Tiny Random MiniCPM-o-2_6
+
+A tiny (~42 MB) randomly-initialized version of [MiniCPM-o-2.6](https://huggingface.co/openbmb/MiniCPM-o-2_6) designed for **testing purposes** in the [optimum-intel](https://github.com/huggingface/optimum-intel) library.
+
+## Purpose
+
+This model was created to replace the existing test model at `optimum-intel-internal-testing/tiny-random-MiniCPM-o-2_6` (185 MB) with a smaller alternative for CI/CD testing. Smaller test models reduce:
+
+- Download times in CI pipelines
+- Storage requirements
+- Test execution time
+
+## Size Comparison
+
+| Model | Total Size | Model Weights |
+|-------|------------|---------------|
+| [openbmb/MiniCPM-o-2_6](https://huggingface.co/openbmb/MiniCPM-o-2_6) (Original) | 17.4 GB | ~17 GB |
+| [optimum-intel-internal-testing/tiny-random-MiniCPM-o-2_6](https://huggingface.co/optimum-intel-internal-testing/tiny-random-MiniCPM-o-2_6) (Current Test Model) | 185 MB | 169 MB |
+| **hrithik-dev8/tiny-random-MiniCPM-o-2_6** (This Model) | **~42 MB** | **41.55 MB** |
+
+**Result: 4× smaller than Intel's current test model**
+
+## Model Configuration
+
+| Component | This Model | Original |
+|-----------|------------|----------|
+| **Vocabulary** | 5,000 tokens | 151,700 tokens |
+| **LLM Hidden Size** | 128 | 3,584 |
+| **LLM Layers** | 1 | 40 |
+| **LLM Attention Heads** | 8 | 28 |
+| **Vision Hidden Size** | 128 | 1,152 |
+| **Vision Layers** | 1 | 27 |
+| **Image Size** | 980 (preserved) | 980 |
+| **Patch Size** | 14 (preserved) | 14 |
+| **Audio d_model** | 64 | 1,280 |
+| **TTS Hidden Size** | 128 | - |
+
+## Parameter Breakdown
+
+| Component | Parameters | Size (MB) |
+|-----------|------------|-----------|
+| TTS/DVAE | 19,339,766 | 36.89 |
+| LLM | 1,419,840 | 2.71 |
+| Vision | 835,328 | 1.59 |
+| Resampler | 91,392 | 0.17 |
+| Audio | 56,192 | 0.11 |
+| Other | 20,736 | 0.04 |
+| **Total** | **21,763,254** | **~41.5** |
+
+## Technical Details
+
+### Why Keep TTS/DVAE Components?
+
+The TTS (Text-to-Speech) component, which includes the DVAE (Discrete Variational Auto-Encoder), accounts for approximately 37 MB (~85%) of the model size. While the optimum-intel tests do **not** exercise TTS functionality (they only test image+text → text generation), we retain this component because:
+
+1. **Structural Consistency**: Removing TTS via `init_tts=False` causes structural differences in the model that lead to numerical divergence between PyTorch and OpenVINO outputs
+2. **Test Compatibility**: The `test_compare_to_transformers` test compares PyTorch vs OpenVINO outputs and requires exact structural matching
+3. **Architecture Integrity**: The MiniCPM-o architecture expects TTS weights to be present during model loading
+
+### Tokenizer Shrinking
+
+The vocabulary was reduced from 151,700 to 5,000 tokens:
+
+- **Base tokens**: IDs 0-4899 (first 4,900 most common tokens)
+- **Special tokens**: IDs 4900-4949 (remapped from original high IDs)
+- **BPE merges**: Filtered from 151,387 to 4,644 (only merges involving retained tokens)
+
+Key token mappings:
+| Token | ID |
+|-------|-----|
+| `<unk>` | 4900 |
+| `<\|endoftext\|>` | 4901 |
+| `<\|im_start\|>` | 4902 |
+| `<\|im_end\|>` | 4903 |
+
+### Reproducibility
+
+Model weights are initialized with a fixed random seed (42) to ensure:
+- Reproducible outputs between runs
+- Consistent behavior between PyTorch and OpenVINO
+- Passing of `test_compare_to_transformers` which compares framework outputs
+
+## Test Results
+
+Tested with `pytest tests/openvino/test_seq2seq.py -k "minicpmo" -v`:
+
+| Test | Status | Notes |
+|------|--------|-------|
+| `test_compare_to_transformers` | ✅ PASSED | PyTorch/OpenVINO outputs match |
+| `test_generate_utils` | ✅ PASSED | Generation pipeline works |
+| `test_model_can_be_loaded_after_saving` | ⚠️ FAILED | Windows file locking issue (not model-related) |
+
+The third test failure is a **Windows-specific issue** where OpenVINO keeps file handles open, preventing cleanup of temporary directories. This is a known platform limitation, not a model defect. The test passes on Linux/macOS.
+
+## Usage
+
+### For optimum-intel Testing
+
+```python
+# In optimum-intel/tests/openvino/utils_tests.py, update MODEL_NAMES:
+MODEL_NAMES = {
+    # ... other models ...
+    "minicpmo": "hrithik-dev8/tiny-random-MiniCPM-o-2_6",
+}
+```
+
+Then run tests:
+```bash
+pytest tests/openvino/test_seq2seq.py -k "minicpmo" -v
+```
+
+### Basic Model Loading
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+model = AutoModel.from_pretrained(
+    "hrithik-dev8/tiny-random-MiniCPM-o-2_6",
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    "hrithik-dev8/tiny-random-MiniCPM-o-2_6",
+    trust_remote_code=True
+)
+```
+
+## Files Included
+
+| File | Size | Description |
+|------|------|-------------|
+| `model.safetensors` | 41.55 MB | Model weights (bfloat16) |
+| `config.json` | 5.33 KB | Model configuration |
+| `tokenizer.json` | 338.27 KB | Shrunk tokenizer (5,000 tokens) |
+| `tokenizer_config.json` | 12.78 KB | Tokenizer settings |
+| `vocab.json` | 85.70 KB | Vocabulary mapping |
+| `merges.txt` | 36.58 KB | BPE merge rules |
+| `preprocessor_config.json` | 1.07 KB | Image processor config |
+| `generation_config.json` | 121 B | Generation settings |
+| `added_tokens.json` | 1.13 KB | Special tokens |
+| `special_tokens_map.json` | 1.24 KB | Special token mappings |
+
+## Requirements
+
+- Python 3.8+
+- transformers >= 4.45.0, < 4.52.0
+- torch
+- For OpenVINO testing: optimum-intel with OpenVINO backend
+
+## Limitations
+
+⚠️ **This model is for testing only** - it produces random/meaningless outputs and should not be used for inference.

added_tokens.json

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+{
+  "<unk>": 4900,
+  "<|endoftext|>": 4901,
+  "<|im_start|>": 4902,
+  "<|im_end|>": 4903,
+  "<|object_ref_start|>": 4904,
+  "<|object_ref_end|>": 4905,
+  "<|box_start|>": 4906,
+  "<|box_end|>": 4907,
+  "<|quad_start|>": 4908,
+  "<|quad_end|>": 4909,
+  "<|vision_start|>": 4910,
+  "<|vision_end|>": 4911,
+  "<|vision_pad|>": 4912,
+  "<|image_pad|>": 4913,
+  "<|video_pad|>": 4914,
+  "<image>": 4915,
+  "</image>": 4916,
+  "<ref>": 4917,
+  "</ref>": 4918,
+  "<box>": 4919,
+  "</box>": 4920,
+  "<quad>": 4921,
+  "</quad>": 4922,
+  "<point>": 4923,
+  "</point>": 4924,
+  "<slice>": 4925,
+  "</slice>": 4926,
+  "<image_id>": 4927,
+  "</image_id>": 4928,
+  "<unit>": 4929,
+  "</unit>": 4930,
+  "<asr>": 4931,
+  "</asr>": 4932,
+  "<query>": 4933,
+  "</query>": 4934,
+  "<|audio_start|>": 4935,
+  "<|audio|>": 4936,
+  "<|audio_end|>": 4937,
+  "<|spk_bos|>": 4938,
+  "<|spk|>": 4939,
+  "<|spk_eos|>": 4940,
+  "<|tts_bos|>": 4941,
+  "<|tts_eos|>": 4942,
+  "<|listen|>": 4943,
+  "<|speak|>": 4944,
+  "<|interrupt|>": 4945,
+  "<|vad_start|>": 4946,
+  "<|vad_end|>": 4947,
+  "<reserved_43>": 4948,
+  "<reserved_53>": 4949
+}

config.json

@@ -0,0 +1,251 @@
+{
+  "architectures": [
+    "MiniCPMO"
+  ],
+  "attention_dropout": 0.0,
+  "audio_chunk_length": 1.0,
+  "audio_config": {
+    "_attn_implementation_autoset": true,
+    "_name_or_path": "openai/whisper-medium",
+    "activation_dropout": 0.0,
+    "activation_function": "gelu",
+    "apply_spec_augment": false,
+    "architectures": [
+      "MiniCPMWhisperEncoder"
+    ],
+    "attention_dropout": 0.0,
+    "begin_suppress_tokens": [
+      220,
+      50257
+    ],
+    "bos_token_id": 50257,
+    "classifier_proj_size": 256,
+    "d_model": 64,
+    "decoder_attention_heads": 4,
+    "decoder_ffn_dim": 128,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 1,
+    "decoder_start_token_id": 50258,
+    "dropout": 0.0,
+    "encoder_attention_heads": 4,
+    "encoder_ffn_dim": 128,
+    "encoder_layerdrop": 0.0,
+    "encoder_layers": 1,
+    "eos_token_id": 50257,
+    "forced_decoder_ids": [
+      [
+        1,
+        50259
+      ],
+      [
+        2,
+        50359
+      ],
+      [
+        3,
+        50363
+      ]
+    ],
+    "init_std": 0.02,
+    "mask_feature_length": 10,
+    "mask_feature_min_masks": 0,
+    "mask_feature_prob": 0.0,
+    "mask_time_length": 10,
+    "mask_time_min_masks": 2,
+    "mask_time_prob": 0.05,
+    "max_length": 448,
+    "max_source_positions": 100,
+    "max_target_positions": 100,
+    "median_filter_width": 7,
+    "model_type": "whisper",
+    "num_hidden_layers": 1,
+    "num_mel_bins": 20,
+    "pad_token_id": 50257,
+    "scale_embedding": false,
+    "suppress_tokens": [
+      1,
+      2,
+      7,
+      8,
+      9,
+      10,
+      14,
+      25,
+      26,
+      27,
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+      10428,
+      10929,
+      11938,
+      12033,
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+      49870,
+      50254,
+      50258,
+      50358,
+      50359,
+      50360,
+      50361,
+      50362
+    ],
+    "torch_dtype": "float32",
+    "use_cache": true,
+    "use_weighted_layer_sum": false,
+    "vocab_size": 1000
+  },
+  "audio_pool_step": 2,
+  "auto_map": {
+    "AutoConfig": "openbmb/MiniCPM-o-2_6--configuration_minicpm.MiniCPMOConfig",
+    "AutoModel": "openbmb/MiniCPM-o-2_6--modeling_minicpmo.MiniCPMO",
+    "AutoModelForCausalLM": "openbmb/MiniCPM-o-2_6--modeling_minicpmo.MiniCPMO"
+  },
+  "batch_vision_input": true,
+  "bos_token_id": 4901,
+  "chunk_input": true,
+  "drop_vision_last_layer": false,
+  "eos_token_id": 4903,
+  "hidden_act": "silu",
+  "hidden_size": 128,
+  "image_size": 448,
+  "init_audio": true,
+  "init_tts": true,
+  "init_vision": true,
+  "initializer_range": 0.02,
+  "intermediate_size": 256,
+  "listen_speak_type": "asr",
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "minicpmo",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 1,
+  "num_key_value_heads": 2,
+  "patch_size": 14,
+  "query_num": 64,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "slice_config": {
+    "max_slice_nums": 9,
+    "model_type": "minicpmv",
+    "patch_size": 14,
+    "scale_resolution": 448
+  },
+  "slice_mode": true,
+  "sliding_window": 131072,
+  "stream_input": false,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "tts_config": {
+    "_attn_implementation_autoset": true,
+    "attn_implementation": "sdpa",
+    "audio_bos_token_id": 21132,
+    "aug_loss_weight": true,
+    "hidden_size": 128,
+    "intermediate_size": 256,
+    "llm_dim": 128,
+    "max_position_embeddings": 256,
+    "model_type": "conditional_chattts",
+    "num_attention_heads": 8,
+    "num_audio_tokens": 10,
+    "num_hidden_layers": 1,
+    "num_mel_bins": 10,
+    "num_spk_embs": 1,
+    "num_text_tokens": 100,
+    "num_vq": 1,
+    "spk_emb_token_id": 21143,
+    "streaming": true,
+    "streaming_audio_chunk_size": 50,
+    "streaming_text_chunk_size": 10,
+    "streaming_text_reserved_len": 300,
+    "text_eos_token_id": 21133,
+    "use_llm_hidden_state": false,
+    "use_mlp": true,
+    "use_speaker_embedding": true,
+    "use_text": true
+  },
+  "use_cache": true,
+  "use_image_id": true,
+  "use_sliding_window": false,
+  "version": 2.6,
+  "vision_batch_size": 16,
+  "vision_config": {
+    "_attn_implementation_autoset": true,
+    "attention_dropout": 0.0,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 128,
+    "image_size": 980,
+    "intermediate_size": 256,
+    "layer_norm_eps": 1e-06,
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 8,
+    "num_channels": 3,
+    "num_hidden_layers": 1,
+    "patch_size": 14
+  },
+  "vocab_size": 5000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 4901,
+  "eos_token_id": 4903,
+  "transformers_version": "4.45.0"
+}

merges.txt

@@ -0,0 +1,4645 @@
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+size 43563300

preprocessor_config.json

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+  "eos_token": "<|im_end|>",
+  "errors": "replace",
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+  "tokenizer_class": "MiniCPMOTokenizer",
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