Image-Text-to-Text
Transformers
Safetensors
Ukrainian
Russian
qwen3_5
ocr
htr
handwritten-text-recognition
ukrainian
cyrillic
document-ai
layout-analysis
qwen3.5
conversational
Instructions to use ebinan92/Rukopys-OCR-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebinan92/Rukopys-OCR-4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ebinan92/Rukopys-OCR-4B") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ebinan92/Rukopys-OCR-4B") model = AutoModelForMultimodalLM.from_pretrained("ebinan92/Rukopys-OCR-4B", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ebinan92/Rukopys-OCR-4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ebinan92/Rukopys-OCR-4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ebinan92/Rukopys-OCR-4B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/ebinan92/Rukopys-OCR-4B
- SGLang
How to use ebinan92/Rukopys-OCR-4B with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "ebinan92/Rukopys-OCR-4B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ebinan92/Rukopys-OCR-4B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "ebinan92/Rukopys-OCR-4B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ebinan92/Rukopys-OCR-4B", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use ebinan92/Rukopys-OCR-4B with Docker Model Runner:
docker model run hf.co/ebinan92/Rukopys-OCR-4B
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| "use_chat_template": true, | |
| "padding_side": "right", | |
| "padding_free": false, | |
| "loss_scale": "last_round", | |
| "sequence_parallel_size": 1, | |
| "template_backend": "swift", | |
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| "dataset": [ | |
| "training/data/qwen35_4b_rukopys_metric_grpo_final/train.parquet" | |
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| "training/rewards/rukopys_metric_reward.py" | |
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| "seed": 42, | |
| "model_kwargs": {}, | |
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| "use_hf": true, | |
| "hub_token": null, | |
| "ddp_timeout": 18000000, | |
| "ddp_backend": "nccl", | |
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| "use_swift_lora": false, | |
| "freeze_llm": false, | |
| "freeze_vit": true, | |
| "freeze_aligner": true, | |
| "freeze_parameters": [ | |
| "visual.visual", | |
| "visual.visual.merger" | |
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| "freeze_parameters_regex": null, | |
| "freeze_parameters_ratio": 0.0, | |
| "trainable_parameters": [], | |
| "trainable_parameters_regex": null, | |
| "target_modules": [ | |
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| ], | |
| "target_regex": null, | |
| "modules_to_save": [], | |
| "lora_rank": 8, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "lora_bias": "none", | |
| "lora_dtype": null, | |
| "use_rslora": false, | |
| "rlhf_type": "grpo", | |
| "loss_type": "grpo", | |
| "mcore_ref_model": null, | |
| "mcore_ref_adapter": null, | |
| "beta": 0.04, | |
| "rpo_alpha": null, | |
| "reference_free": false, | |
| "label_smoothing": 0.0, | |
| "f_divergence_type": "reverse_kl", | |
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| "undesirable_weight": 1.0, | |
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| "teacher_model_server": null, | |
| "gkd_logits_topk": null, | |
| "lmbda": 0.5, | |
| "seq_kd": false, | |
| "offload_teacher_model": false, | |
| "sft_alpha": 0.0, | |
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| "importance_sampling_level": "token", | |
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| "tau_neg": 1.05, | |
| "real_tau": 0.5, | |
| "fipo_decay_rate": 32.0, | |
| "fipo_clip_range": 0.2, | |
| "fipo_clip_high_only": true, | |
| "fipo_safety_threshold": 4.0, | |
| "epsilon": 0.2, | |
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| "delta": null, | |
| "use_vllm": true, | |
| "vllm_mode": "colocate", | |
| "vllm_enable_prefix_caching": true, | |
| "vllm_gpu_memory_utilization": 0.3, | |
| "vllm_tensor_parallel_size": 1, | |
| "vllm_max_model_len": 16384, | |
| "vllm_enforce_eager": false, | |
| "vllm_limit_mm_per_prompt": { | |
| "image": 1 | |
| }, | |
| "vllm_disable_cascade_attn": false, | |
| "vllm_max_num_seqs": 8, | |
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| "vllm_enable_lora": false, | |
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| "vllm_server_port": [ | |
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| ], | |
| "vllm_server_timeout": 240.0, | |
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| "rukopys_metric" | |
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| "cosine_max_len_value_wrong": 0.0, | |
| "cosine_min_len_value_correct": 1.0, | |
| "cosine_max_len_value_correct": 0.5, | |
| "cosine_max_len": 8192, | |
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| "repetition_max_penalty": -1.0, | |
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| "dynamic_sample": false, | |
| "max_resample_times": 3, | |
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| "scale_rewards": "group", | |
| "advantage_estimator": "grpo", | |
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| "rollout_importance_sampling_threshold": 2.0, | |
| "log_rollout_offpolicy_metrics": false, | |
| "off_policy_sequence_mask_delta": null, | |
| "log_entropy": false, | |
| "top_entropy_quantile": 1.0, | |
| "router_replay_mode": "disabled", | |
| "reward_model": null, | |
| "reward_model_plugin": null, | |
| "sync_ref_model": false, | |
| "ref_model_sync_steps": 512, | |
| "ref_model_mixup_alpha": 0.6, | |
| "async_generate": false, | |
| "move_model_batches": null, | |
| "multi_turn_scheduler": null, | |
| "max_turns": null, | |
| "completion_length_limit_scope": "per_round", | |
| "vllm_server_pass_dataset": false, | |
| "num_iterations": 1, | |
| "micro_batch_size": 1, | |
| "global_batch_size": 8, | |
| "recompute_granularity": "full", | |
| "recompute_method": "uniform", | |
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| "cross_entropy_loss_fusion": true, | |
| "cross_entropy_fusion_impl": "te", | |
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| "attention_backend": "<AttnBackend.auto: 5>", | |
| "optimizer": "adam", | |
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| "dataloader_persistent_workers": false, | |
| "dataloader_prefetch_factor": 2, | |
| "data_sharding": false, | |
| "group_by_length": false, | |
| "te_rng_tracker": false, | |
| "data_parallel_random_init": false, | |
| "mlp_padding_free": false, | |
| "lr_warmup_init": 0.0, | |
| "lr": 1e-06, | |
| "lr_decay_style": "cosine", | |
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| "lr_warmup_iters": 0, | |
| "lr_warmup_fraction": 0.03, | |
| "min_lr": 1e-07, | |
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| "end_weight_decay": 0.01, | |
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| "muon_use_nesterov": false, | |
| "muon_scale_mode": "spectral", | |
| "muon_fp32_matmul_prec": "medium", | |
| "muon_num_ns_steps": 5, | |
| "muon_tp_mode": "blockwise", | |
| "muon_extra_scale_factor": 1.0, | |
| "output_dir": "/root/handwritten_data/checkpoint/qwen3.5-4b-final-train-metric-grpo-after-silver-test-full/v0-20260615-125442", | |
| "save_steps": 250, | |
| "no_save_optim": true, | |
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| "no_load_optim": false, | |
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| "finetune": true, | |
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| "use_cpu_initialization": false, | |
| "async_save": false, | |
| "save_total_limit": 3, | |
| "metric_for_best_model": "reward", | |
| "greater_is_better": true, | |
| "use_persistent_ckpt_worker": false, | |
| "dist_ckpt_save_pre_mcore_014": false, | |
| "dist_ckpt_optim_fully_reshardable": false, | |
| "distrib_optim_fully_reshardable_mem_efficient": false, | |
| "local_rank": 0, | |
| "use_distributed_optimizer": true, | |
| "tensor_model_parallel_size": 1, | |
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| "decoder_last_pipeline_num_layers": null, | |
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| "overlap_p2p_comm": false, | |
| "align_param_gather": false, | |
| "sequence_parallel": false, | |
| "context_parallel_size": 1, | |
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| "overlap_grad_reduce": false, | |
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| "align_grad_reduce": true, | |
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| "pipeline_model_parallel_layout": null, | |
| "expert_model_parallel_size": 1, | |
| "expert_tensor_parallel_size": 1, | |
| "report_to": [ | |
| "wandb" | |
| ], | |
| "logging_steps": 1, | |
| "tensorboard_dir": "/root/handwritten_data/checkpoint/qwen3.5-4b-final-train-metric-grpo-after-silver-test-full/v0-20260615-125442/runs", | |
| "tensorboard_queue_size": 50, | |
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| "swanlab_project": "megatron-swift", | |
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| "fp4_recipe": "nvfp4", | |
| "fp4_param_gather": false, | |
| "fp16": false, | |
| "bf16": true, | |
| "apply_query_key_layer_scaling": false, | |
| "attention_softmax_in_fp32": true, | |
| "accumulate_allreduce_grads_in_fp32": true, | |
| "moe_router_load_balancing_type": null, | |
| "moe_router_dtype": "fp32", | |
| "moe_token_dispatcher_type": null, | |
| "moe_enable_deepep": false, | |
| "moe_grouped_gemm": true, | |
| "moe_permute_fusion": false, | |
| "moe_aux_loss_coeff": 0.0, | |
| "moe_z_loss_coeff": null, | |
| "moe_shared_expert_overlap": false, | |
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| "mtp_num_layers": null, | |
| "mtp_loss_scaling_factor": 0.1, | |
| "mtp_decoder_input_detach": false, | |
| "mtp_shared_weights": false, | |
| "save_safetensors": true, | |
| "ref_model": null, | |
| "ref_adapters": [], | |
| "merge_lora": true, | |
| "max_shard_size": "5GB", | |
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| "vit_attn_impl": null, | |
| "vit_lr": null, | |
| "aligner_lr": null, | |
| "dsa_indexer_loss_coeff": 0.0, | |
| "dsa_indexer_use_sparse_loss": false, | |
| "check_model": true, | |
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| "linear_decoupled_in_proj": false, | |
| "enable_dft_loss": false, | |
| "enable_channel_loss": false, | |
| "save_strategy": "steps", | |
| "callbacks": [ | |
| "print", | |
| "default_flow", | |
| "wandb" | |
| ], | |
| "add_version": true, | |
| "create_checkpoint_symlink": false, | |
| "swift_version": "4.2.3", | |
| "ckpt_dir": null, | |
| "rank": 0, | |
| "global_world_size": 1, | |
| "local_world_size": 1, | |
| "model_suffix": "qwen3.5-4b-silver-test-sft-full", | |
| "model_info": "ModelInfo(model_type='qwen3_5', model_dir='/root/.cache/huggingface/hub/models--ebinan92--qwen3.5-4b-silver-test-sft-full/snapshots/42e57d62ab5d75fbfe52076c4fec8ea1b39c15ad', torch_dtype=torch.bfloat16, max_model_len=262144, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=True, config=None, task_type='causal_lm', num_labels=None)", | |
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| "_val_dataset_exists": false, | |
| "hub": "<class 'swift.hub.hub.HFHub'>", | |
| "seq_length": 8192, | |
| "per_device_generation_batch_size": 8, | |
| "is_multimodal": true, | |
| "megatron_model_meta": "ModelMeta(model_type='qwen3_5', model_types=['qwen3_5', 'qwen3_5_moe'], bridge_cls=<class 'mcore_bridge.model.mm_gpts.qwen3_5.Qwen3_5Bridge'>, visual_cls=<class 'mcore_bridge.model.mm_gpts.qwen3_5.Qwen3_5Vit'>, is_multimodal=True, loader=<class 'mcore_bridge.model.mm_gpts.qwen3_5.Qwen3_5Loader'>)", | |
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| "fp4": null, | |
| "world_size": 1, | |
| "data_parallel_size": 1, | |
| "num_microbatches": 8 | |
| } |