Feature Extraction
Transformers
Safetensors
deepseek_vl_v2
ocr
vision-language
fp8
quantized
deepseek
custom_code
compressed-tensors
Instructions to use richarddavison/DeepSeek-OCR-2-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use richarddavison/DeepSeek-OCR-2-FP8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("richarddavison/DeepSeek-OCR-2-FP8", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "deepseek-ai/DeepSeek-OCR-2", | |
| "candidate_resolutions": [ | |
| [ | |
| 1024, | |
| 1024 | |
| ] | |
| ], | |
| "global_view_pos": "head", | |
| "architectures": [ | |
| "DeepseekOCR2ForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "modeling_deepseekocr2.DeepseekOCR2Config", | |
| "AutoModel": "modeling_deepseekocr2.DeepseekOCR2ForCausalLM" | |
| }, | |
| "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 | |
| }, | |
| "model_type": "deepseek_vl_v2", | |
| "projector_config": { | |
| "input_dim": 896, | |
| "model_type": "mlp_projector", | |
| "n_embed": 1280, | |
| "projector_type": "linear" | |
| }, | |
| "tile_tag": "2D", | |
| "torch_dtype": "bfloat16", | |
| "transformers_version": "4.46.3", | |
| "vision_config": { | |
| "image_size": 1024, | |
| "mlp_ratio": 3.7362, | |
| "model_name": "deepencoderv2", | |
| "model_type": "vision", | |
| "width": { | |
| "qwen2-0-5b": { | |
| "dim": 896 | |
| }, | |
| "sam_vit_b": { | |
| "downsample_channels": [ | |
| 512, | |
| 1024 | |
| ], | |
| "global_attn_indexes": [ | |
| 2, | |
| 5, | |
| 8, | |
| 11 | |
| ], | |
| "heads": 12, | |
| "layers": 12, | |
| "width": 768 | |
| } | |
| } | |
| }, | |
| "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", | |
| "use_mla": false, | |
| "v_head_dim": 0, | |
| "vocab_size": 129280, | |
| "quantization_config": { | |
| "config_groups": { | |
| "group_0": { | |
| "input_activations": { | |
| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": true, | |
| "group_size": null, | |
| "num_bits": 8, | |
| "observer": null, | |
| "observer_kwargs": {}, | |
| "strategy": "token", | |
| "symmetric": true, | |
| "type": "float" | |
| }, | |
| "output_activations": null, | |
| "targets": [ | |
| "Linear" | |
| ], | |
| "weights": { | |
| "actorder": null, | |
| "block_structure": null, | |
| "dynamic": false, | |
| "group_size": null, | |
| "num_bits": 8, | |
| "observer": "minmax", | |
| "observer_kwargs": {}, | |
| "strategy": "channel", | |
| "symmetric": true, | |
| "type": "float" | |
| } | |
| } | |
| }, | |
| "format": "float-quantized", | |
| "global_compression_ratio": 1.5699606249443583, | |
| "ignore": [ | |
| "lm_head" | |
| ], | |
| "kv_cache_scheme": null, | |
| "quant_method": "compressed-tensors", | |
| "quantization_status": "compressed" | |
| } | |
| } |