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# configuration_deepseekocr.py
# ------------------------------------------------------------
# Configuration class for the Deepseek-OCR model
# ------------------------------------------------------------
from transformers.configuration_utils import PretrainedConfig
from transformers.utils import logging
logger = logging.get_logger(__name__)
DEEPSEEK_OCR_PRETRAINED_CONFIG_ARCHIVE_MAP = {}
class DeepseekOCRConfig(PretrainedConfig):
"""
Configuration class for the Deepseek-OCR model.
Allows Hugging Face Auto classes to recognize this custom architecture.
Example:
```python
from transformers import AutoConfig
config = AutoConfig.from_pretrained("specsGuy/Deepseek-ocr", trust_remote_code=True)
print(config.model_type) # deepseekocr
```
"""
model_type = "deepseekocr" # ✅ REQUIRED for AutoConfig detection
def __init__(
self,
vocab_size=129280,
hidden_size=1280,
intermediate_size=6848,
num_hidden_layers=12,
num_attention_heads=10,
num_key_value_heads=10,
max_position_embeddings=8192,
moe_intermediate_size=896,
n_group=1,
n_routed_experts=64,
n_shared_experts=2,
num_experts_per_tok=6,
first_k_dense_replace=1,
topk_group=1,
topk_method="greedy",
use_mla=False,
bos_token_id=0,
eos_token_id=1,
torch_dtype="bfloat16",
projector_config=None,
vision_config=None,
language_config=None,
**kwargs,
):
# Core architecture settings
self.vocab_size = vocab_size
self.hidden_size = hidden_size
self.intermediate_size = intermediate_size
self.num_hidden_layers = num_hidden_layers
self.num_attention_heads = num_attention_heads
self.num_key_value_heads = num_key_value_heads
self.max_position_embeddings = max_position_embeddings
self.moe_intermediate_size = moe_intermediate_size
# Mixture of Experts & attention params
self.n_group = n_group
self.n_routed_experts = n_routed_experts
self.n_shared_experts = n_shared_experts
self.num_experts_per_tok = num_experts_per_tok
self.first_k_dense_replace = first_k_dense_replace
self.topk_group = topk_group
self.topk_method = topk_method
self.use_mla = use_mla
# Tokens & dtype
self.bos_token_id = bos_token_id
self.eos_token_id = eos_token_id
self.torch_dtype = torch_dtype
# Subconfigs (for multimodal alignment)
self.projector_config = projector_config
self.vision_config = vision_config
self.language_config = language_config
super().__init__(
bos_token_id=bos_token_id,
eos_token_id=eos_token_id,
**kwargs,
)
logger.info("✅ Initialized DeepseekOCRConfig successfully.")
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