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README.md

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+---
+language:
+- en
+- zh
+tags:
+- vision
+- ocr
+- deepseek
+- quantization
+- int4
+license: other
+base_model: deepseek-ai/DeepSeek-OCR
+---
+
+# DeepSeek-OCR INT4 Merged Model
+
+This is a merged version of the DeepSeek-OCR model that was quantized to INT4 and then dequantized back to full precision.
+
+## Model Details
+
+- **Base Model**: [deepseek-ai/DeepSeek-OCR](https://huggingface.co/deepseek-ai/DeepSeek-OCR)
+- **Quantization**: INT4 (during storage)
+- **Final Format**: Full precision (FP32/FP16)
+- **Source**: Quantized weights from SamMikaelson/deepseekocr-randomreal
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoProcessor
+from PIL import Image
+
+# Load model and processor
+model = AutoModelForCausalLM.from_pretrained(
+    "YOUR_USERNAME/OCR-int4-merged",
+    trust_remote_code=True
+)
+processor = AutoProcessor.from_pretrained(
+    "YOUR_USERNAME/OCR-int4-merged",
+    trust_remote_code=True
+)
+
+# Process image
+image = Image.open("document.jpg")
+inputs = processor(images=image, return_tensors="pt")
+
+# Generate OCR output
+outputs = model.generate(**inputs, max_new_tokens=512)
+text = processor.decode(outputs[0], skip_special_tokens=True)
+print(text)
+```
+
+## Notes
+
+This model was created by:
+1. Quantizing the original DeepSeek-OCR to INT4
+2. Dequantizing back to full precision
+3. Merging into a standard model format
+
+The process allows for efficient storage and distribution while maintaining full model capabilities.

config.json

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+{
+  "_name_or_path": "deepseek-ai/DeepSeek-OCR",
+  "architectures": [
+    "DeepseekOCRForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "deepseek-ai/DeepSeek-OCR--modeling_deepseekocr.DeepseekOCRConfig",
+    "AutoModel": "deepseek-ai/DeepSeek-OCR--modeling_deepseekocr.DeepseekOCRForCausalLM"
+  },
+  "aux_loss_alpha": 0.001,
+  "bos_token_id": 0,
+  "candidate_resolutions": [
+    [
+      1024,
+      1024
+    ]
+  ],
+  "eos_token_id": 1,
+  "ep_size": 1,
+  "first_k_dense_replace": 1,
+  "global_view_pos": "head",
+  "hidden_act": "silu",
+  "hidden_size": 1280,
+  "initializer_range": 0.02,
+  "intermediate_size": 6848,
+  "kv_lora_rank": null,
+  "language_config": {
+    "architectures": [
+      "DeepseekV2ForCausalLM"
+    ],
+    "auto_map": {
+      "AutoConfig": "configuration_deepseekv2.DeepseekV2Config",
+      "AutoModel": "modeling_deepseek.DeepseekV2Model",
+      "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"
+    },
+    "bos_token_id": 0,
+    "eos_token_id": 1,
+    "first_k_dense_replace": 1,
+    "hidden_size": 1280,
+    "intermediate_size": 6848,
+    "kv_lora_rank": null,
+    "lm_head": true,
+    "max_position_embeddings": 8192,
+    "moe_intermediate_size": 896,
+    "n_group": 1,
+    "n_routed_experts": 64,
+    "n_shared_experts": 2,
+    "num_attention_heads": 10,
+    "num_experts_per_tok": 6,
+    "num_hidden_layers": 12,
+    "num_key_value_heads": 10,
+    "q_lora_rank": null,
+    "qk_nope_head_dim": 0,
+    "qk_rope_head_dim": 0,
+    "rm_head": false,
+    "topk_group": 1,
+    "topk_method": "greedy",
+    "torch_dtype": "bfloat16",
+    "use_mla": false,
+    "v_head_dim": 0,
+    "vocab_size": 129280
+  },
+  "lm_head": true,
+  "max_position_embeddings": 8192,
+  "model_type": "DeepseekOCR",
+  "moe_intermediate_size": 896,
+  "moe_layer_freq": 1,
+  "n_group": 1,
+  "n_routed_experts": 64,
+  "n_shared_experts": 2,
+  "norm_topk_prob": false,
+  "num_attention_heads": 10,
+  "num_experts_per_tok": 6,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 10,
+  "pretraining_tp": 1,
+  "projector_config": {
+    "input_dim": 2048,
+    "model_type": "mlp_projector",
+    "n_embed": 1280,
+    "projector_type": "linear"
+  },
+  "q_lora_rank": null,
+  "qk_nope_head_dim": 0,
+  "qk_rope_head_dim": 0,
+  "rm_head": false,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "routed_scaling_factor": 1.0,
+  "scoring_func": "softmax",
+  "seq_aux": true,
+  "tie_word_embeddings": false,
+  "tile_tag": "2D",
+  "topk_group": 1,
+  "topk_method": "greedy",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.3",
+  "use_cache": true,
+  "use_mla": false,
+  "v_head_dim": 0,
+  "vision_config": {
+    "image_size": 1024,
+    "mlp_ratio": 3.7362,
+    "model_name": "deeplip_b_l",
+    "model_type": "vision",
+    "width": {
+      "clip-l-14-224": {
+        "heads": 16,
+        "image_size": 224,
+        "layers": 24,
+        "patch_size": 14,
+        "width": 1024
+      },
+      "sam_vit_b": {
+        "downsample_channels": [
+          512,
+          1024
+        ],
+        "global_attn_indexes": [
+          2,
+          5,
+          8,
+          11
+        ],
+        "heads": 12,
+        "layers": 12,
+        "width": 768
+      }
+    }
+  },
+  "vocab_size": 129280
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "transformers_version": "4.46.3"
+}

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+}

special_tokens_map.json

@@ -0,0 +1,27 @@
+{
+  "additional_special_tokens": [
+    "<|User|>",
+    "<|Assistant|>"
+  ],
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜▁pad▁｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}