Text Generation
Transformers
Safetensors
qwen3_5
image-text-to-text
security
cve
lora
sft
unsloth
conversational
8-bit precision
Instructions to use trailio/QwenSec-38 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trailio/QwenSec-38 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="trailio/QwenSec-38") 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("trailio/QwenSec-38") model = AutoModelForMultimodalLM.from_pretrained("trailio/QwenSec-38", 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 trailio/QwenSec-38 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "trailio/QwenSec-38" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "trailio/QwenSec-38", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/trailio/QwenSec-38
- SGLang
How to use trailio/QwenSec-38 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 "trailio/QwenSec-38" \ --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": "trailio/QwenSec-38", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "trailio/QwenSec-38" \ --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": "trailio/QwenSec-38", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Unsloth Studio
How to use trailio/QwenSec-38 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for trailio/QwenSec-38 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for trailio/QwenSec-38 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for trailio/QwenSec-38 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="trailio/QwenSec-38", max_seq_length=2048, ) - Docker Model Runner
How to use trailio/QwenSec-38 with Docker Model Runner:
docker model run hf.co/trailio/QwenSec-38
Upload folder using huggingface_hub
Browse files- config.json +157 -0
- generation_config.json +13 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +0 -0
- processor_config.json +60 -0
- tokenizer_config.json +2 -268
config.json
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| 1 |
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{
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"architectures": [
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"Qwen3_5ForConditionalGeneration"
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| 4 |
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],
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"dtype": "bfloat16",
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| 6 |
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"image_token_id": 248056,
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| 7 |
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"language_model_only": false,
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| 8 |
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"model_type": "qwen3_5",
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| 9 |
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"quantization_config": {
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| 10 |
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"_load_in_4bit": true,
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| 11 |
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "nf4",
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| 15 |
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"bnb_4bit_use_double_quant": true,
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| 16 |
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"llm_int8_enable_fp32_cpu_offload": false,
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| 17 |
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"text_config": {
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_output_gate": true,
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"bos_token_id": 248044,
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"dtype": "bfloat16",
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"eos_token_id": 248044,
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| 31 |
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"full_attention_interval": 4,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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| 36 |
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"intermediate_size": 17408,
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"layer_types": [
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention",
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"linear_attention",
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"linear_attention",
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"linear_attention",
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"full_attention"
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],
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| 103 |
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"linear_conv_kernel_dim": 4,
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| 104 |
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"linear_key_head_dim": 128,
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| 105 |
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"linear_num_key_heads": 16,
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| 106 |
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"linear_num_value_heads": 48,
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| 107 |
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"linear_value_head_dim": 128,
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| 108 |
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"mamba_ssm_dtype": "float32",
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| 109 |
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"max_position_embeddings": 262144,
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| 110 |
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"model_type": "qwen3_5_text",
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| 111 |
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"mtp_num_hidden_layers": 1,
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| 112 |
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"mtp_use_dedicated_embeddings": false,
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| 113 |
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"num_attention_heads": 24,
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| 114 |
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"num_hidden_layers": 64,
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| 115 |
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"num_key_value_heads": 4,
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| 116 |
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"output_gate_type": "swish",
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| 117 |
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"pad_token_id": null,
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| 118 |
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"partial_rotary_factor": 0.25,
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| 119 |
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"rms_norm_eps": 1e-06,
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| 120 |
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"rope_parameters": {
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| 121 |
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"mrope_interleaved": true,
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"mrope_section": [
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11,
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11,
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10
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],
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"partial_rotary_factor": 0.25,
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| 128 |
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"rope_theta": 10000000,
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| 129 |
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"rope_type": "default"
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},
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"tie_word_embeddings": false,
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| 132 |
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"use_cache": true,
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| 133 |
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"vocab_size": 248320
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.5.0",
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| 137 |
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"video_token_id": 248057,
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"vision_config": {
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| 139 |
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"deepstack_visual_indexes": [],
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"depth": 27,
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"dtype": "bfloat16",
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"hidden_act": "gelu_pytorch_tanh",
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| 143 |
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"hidden_size": 1152,
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| 144 |
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"in_channels": 3,
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| 145 |
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"initializer_range": 0.02,
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| 146 |
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"intermediate_size": 4304,
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| 147 |
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"model_type": "qwen3_5",
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| 148 |
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"num_heads": 16,
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| 149 |
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"num_position_embeddings": 2304,
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| 150 |
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"out_hidden_size": 5120,
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| 151 |
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"patch_size": 16,
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| 152 |
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"spatial_merge_size": 2,
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| 153 |
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"temporal_patch_size": 2
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},
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"vision_end_token_id": 248054,
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"vision_start_token_id": 248053
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}
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generation_config.json
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{
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"bos_token_id": 248044,
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"do_sample": true,
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"eos_token_id": [
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248046,
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248044
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],
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"pad_token_id": 248044,
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"temperature": 1.0,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.5.0"
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}
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model-00001-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:54d83c1d36631de231876217a8e0c2483eccee8746369a482b79442bdfc5d958
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size 2542796928
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model-00002-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d889e7646f9dd53e8fe62ca9357a765f694acc448dd7d459ee3499db8422d90
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model-00003-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:766e6a5cf16e1a9da627636f811217a4f4a0e7b0527dd14c3474e4d2ce65878d
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size 4956854549
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model-00004-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:16ab41fe0fc16a1060654163464a738f484b8125bdfec98fdced1c0fce7e908f
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model-00005-of-00005.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:135033007e56826822b6fd7abf8f53822a0311ff9633565010c0039f5b7cb9b4
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size 483173359
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model.safetensors.index.json
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processor_config.json
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{
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+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
tokenizer_config.json
CHANGED
|
@@ -21,278 +21,12 @@
|
|
| 21 |
"vision_eos_token": "<|vision_end|>"
|
| 22 |
},
|
| 23 |
"pad_token": "<|endoftext|>",
|
| 24 |
-
"padding_side": "right",
|
| 25 |
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
|
|
|
| 26 |
"split_special_tokens": false,
|
| 27 |
"tokenizer_class": "TokenizersBackend",
|
| 28 |
"unk_token": null,
|
| 29 |
"video_token": "<|video_pad|>",
|
| 30 |
"vision_bos_token": "<|vision_start|>",
|
| 31 |
-
"vision_eos_token": "<|vision_end|>"
|
| 32 |
-
"added_tokens_decoder": {
|
| 33 |
-
"248044": {
|
| 34 |
-
"content": "<|endoftext|>",
|
| 35 |
-
"single_word": false,
|
| 36 |
-
"lstrip": false,
|
| 37 |
-
"rstrip": false,
|
| 38 |
-
"normalized": false,
|
| 39 |
-
"special": true
|
| 40 |
-
},
|
| 41 |
-
"248045": {
|
| 42 |
-
"content": "<|im_start|>",
|
| 43 |
-
"single_word": false,
|
| 44 |
-
"lstrip": false,
|
| 45 |
-
"rstrip": false,
|
| 46 |
-
"normalized": false,
|
| 47 |
-
"special": true
|
| 48 |
-
},
|
| 49 |
-
"248046": {
|
| 50 |
-
"content": "<|im_end|>",
|
| 51 |
-
"single_word": false,
|
| 52 |
-
"lstrip": false,
|
| 53 |
-
"rstrip": false,
|
| 54 |
-
"normalized": false,
|
| 55 |
-
"special": true
|
| 56 |
-
},
|
| 57 |
-
"248047": {
|
| 58 |
-
"content": "<|object_ref_start|>",
|
| 59 |
-
"single_word": false,
|
| 60 |
-
"lstrip": false,
|
| 61 |
-
"rstrip": false,
|
| 62 |
-
"normalized": false,
|
| 63 |
-
"special": true
|
| 64 |
-
},
|
| 65 |
-
"248048": {
|
| 66 |
-
"content": "<|object_ref_end|>",
|
| 67 |
-
"single_word": false,
|
| 68 |
-
"lstrip": false,
|
| 69 |
-
"rstrip": false,
|
| 70 |
-
"normalized": false,
|
| 71 |
-
"special": true
|
| 72 |
-
},
|
| 73 |
-
"248049": {
|
| 74 |
-
"content": "<|box_start|>",
|
| 75 |
-
"single_word": false,
|
| 76 |
-
"lstrip": false,
|
| 77 |
-
"rstrip": false,
|
| 78 |
-
"normalized": false,
|
| 79 |
-
"special": true
|
| 80 |
-
},
|
| 81 |
-
"248050": {
|
| 82 |
-
"content": "<|box_end|>",
|
| 83 |
-
"single_word": false,
|
| 84 |
-
"lstrip": false,
|
| 85 |
-
"rstrip": false,
|
| 86 |
-
"normalized": false,
|
| 87 |
-
"special": true
|
| 88 |
-
},
|
| 89 |
-
"248051": {
|
| 90 |
-
"content": "<|quad_start|>",
|
| 91 |
-
"single_word": false,
|
| 92 |
-
"lstrip": false,
|
| 93 |
-
"rstrip": false,
|
| 94 |
-
"normalized": false,
|
| 95 |
-
"special": true
|
| 96 |
-
},
|
| 97 |
-
"248052": {
|
| 98 |
-
"content": "<|quad_end|>",
|
| 99 |
-
"single_word": false,
|
| 100 |
-
"lstrip": false,
|
| 101 |
-
"rstrip": false,
|
| 102 |
-
"normalized": false,
|
| 103 |
-
"special": true
|
| 104 |
-
},
|
| 105 |
-
"248053": {
|
| 106 |
-
"content": "<|vision_start|>",
|
| 107 |
-
"single_word": false,
|
| 108 |
-
"lstrip": false,
|
| 109 |
-
"rstrip": false,
|
| 110 |
-
"normalized": false,
|
| 111 |
-
"special": true
|
| 112 |
-
},
|
| 113 |
-
"248054": {
|
| 114 |
-
"content": "<|vision_end|>",
|
| 115 |
-
"single_word": false,
|
| 116 |
-
"lstrip": false,
|
| 117 |
-
"rstrip": false,
|
| 118 |
-
"normalized": false,
|
| 119 |
-
"special": true
|
| 120 |
-
},
|
| 121 |
-
"248055": {
|
| 122 |
-
"content": "<|vision_pad|>",
|
| 123 |
-
"single_word": false,
|
| 124 |
-
"lstrip": false,
|
| 125 |
-
"rstrip": false,
|
| 126 |
-
"normalized": false,
|
| 127 |
-
"special": true
|
| 128 |
-
},
|
| 129 |
-
"248056": {
|
| 130 |
-
"content": "<|image_pad|>",
|
| 131 |
-
"single_word": false,
|
| 132 |
-
"lstrip": false,
|
| 133 |
-
"rstrip": false,
|
| 134 |
-
"normalized": false,
|
| 135 |
-
"special": true
|
| 136 |
-
},
|
| 137 |
-
"248057": {
|
| 138 |
-
"content": "<|video_pad|>",
|
| 139 |
-
"single_word": false,
|
| 140 |
-
"lstrip": false,
|
| 141 |
-
"rstrip": false,
|
| 142 |
-
"normalized": false,
|
| 143 |
-
"special": true
|
| 144 |
-
},
|
| 145 |
-
"248058": {
|
| 146 |
-
"content": "<tool_call>",
|
| 147 |
-
"single_word": false,
|
| 148 |
-
"lstrip": false,
|
| 149 |
-
"rstrip": false,
|
| 150 |
-
"normalized": false,
|
| 151 |
-
"special": false
|
| 152 |
-
},
|
| 153 |
-
"248059": {
|
| 154 |
-
"content": "</tool_call>",
|
| 155 |
-
"single_word": false,
|
| 156 |
-
"lstrip": false,
|
| 157 |
-
"rstrip": false,
|
| 158 |
-
"normalized": false,
|
| 159 |
-
"special": false
|
| 160 |
-
},
|
| 161 |
-
"248060": {
|
| 162 |
-
"content": "<|fim_prefix|>",
|
| 163 |
-
"single_word": false,
|
| 164 |
-
"lstrip": false,
|
| 165 |
-
"rstrip": false,
|
| 166 |
-
"normalized": false,
|
| 167 |
-
"special": false
|
| 168 |
-
},
|
| 169 |
-
"248061": {
|
| 170 |
-
"content": "<|fim_middle|>",
|
| 171 |
-
"single_word": false,
|
| 172 |
-
"lstrip": false,
|
| 173 |
-
"rstrip": false,
|
| 174 |
-
"normalized": false,
|
| 175 |
-
"special": false
|
| 176 |
-
},
|
| 177 |
-
"248062": {
|
| 178 |
-
"content": "<|fim_suffix|>",
|
| 179 |
-
"single_word": false,
|
| 180 |
-
"lstrip": false,
|
| 181 |
-
"rstrip": false,
|
| 182 |
-
"normalized": false,
|
| 183 |
-
"special": false
|
| 184 |
-
},
|
| 185 |
-
"248063": {
|
| 186 |
-
"content": "<|fim_pad|>",
|
| 187 |
-
"single_word": false,
|
| 188 |
-
"lstrip": false,
|
| 189 |
-
"rstrip": false,
|
| 190 |
-
"normalized": false,
|
| 191 |
-
"special": false
|
| 192 |
-
},
|
| 193 |
-
"248064": {
|
| 194 |
-
"content": "<|repo_name|>",
|
| 195 |
-
"single_word": false,
|
| 196 |
-
"lstrip": false,
|
| 197 |
-
"rstrip": false,
|
| 198 |
-
"normalized": false,
|
| 199 |
-
"special": false
|
| 200 |
-
},
|
| 201 |
-
"248065": {
|
| 202 |
-
"content": "<|file_sep|>",
|
| 203 |
-
"single_word": false,
|
| 204 |
-
"lstrip": false,
|
| 205 |
-
"rstrip": false,
|
| 206 |
-
"normalized": false,
|
| 207 |
-
"special": false
|
| 208 |
-
},
|
| 209 |
-
"248066": {
|
| 210 |
-
"content": "<tool_response>",
|
| 211 |
-
"single_word": false,
|
| 212 |
-
"lstrip": false,
|
| 213 |
-
"rstrip": false,
|
| 214 |
-
"normalized": false,
|
| 215 |
-
"special": false
|
| 216 |
-
},
|
| 217 |
-
"248067": {
|
| 218 |
-
"content": "</tool_response>",
|
| 219 |
-
"single_word": false,
|
| 220 |
-
"lstrip": false,
|
| 221 |
-
"rstrip": false,
|
| 222 |
-
"normalized": false,
|
| 223 |
-
"special": false
|
| 224 |
-
},
|
| 225 |
-
"248068": {
|
| 226 |
-
"content": "<think>",
|
| 227 |
-
"single_word": false,
|
| 228 |
-
"lstrip": false,
|
| 229 |
-
"rstrip": false,
|
| 230 |
-
"normalized": false,
|
| 231 |
-
"special": false
|
| 232 |
-
},
|
| 233 |
-
"248069": {
|
| 234 |
-
"content": "</think>",
|
| 235 |
-
"single_word": false,
|
| 236 |
-
"lstrip": false,
|
| 237 |
-
"rstrip": false,
|
| 238 |
-
"normalized": false,
|
| 239 |
-
"special": false
|
| 240 |
-
},
|
| 241 |
-
"248070": {
|
| 242 |
-
"content": "<|audio_start|>",
|
| 243 |
-
"single_word": false,
|
| 244 |
-
"lstrip": false,
|
| 245 |
-
"rstrip": false,
|
| 246 |
-
"normalized": false,
|
| 247 |
-
"special": true
|
| 248 |
-
},
|
| 249 |
-
"248071": {
|
| 250 |
-
"content": "<|audio_end|>",
|
| 251 |
-
"single_word": false,
|
| 252 |
-
"lstrip": false,
|
| 253 |
-
"rstrip": false,
|
| 254 |
-
"normalized": false,
|
| 255 |
-
"special": true
|
| 256 |
-
},
|
| 257 |
-
"248072": {
|
| 258 |
-
"content": "<tts_pad>",
|
| 259 |
-
"single_word": false,
|
| 260 |
-
"lstrip": false,
|
| 261 |
-
"rstrip": false,
|
| 262 |
-
"normalized": false,
|
| 263 |
-
"special": true
|
| 264 |
-
},
|
| 265 |
-
"248073": {
|
| 266 |
-
"content": "<tts_text_bos>",
|
| 267 |
-
"single_word": false,
|
| 268 |
-
"lstrip": false,
|
| 269 |
-
"rstrip": false,
|
| 270 |
-
"normalized": false,
|
| 271 |
-
"special": true
|
| 272 |
-
},
|
| 273 |
-
"248074": {
|
| 274 |
-
"content": "<tts_text_eod>",
|
| 275 |
-
"single_word": false,
|
| 276 |
-
"lstrip": false,
|
| 277 |
-
"rstrip": false,
|
| 278 |
-
"normalized": false,
|
| 279 |
-
"special": true
|
| 280 |
-
},
|
| 281 |
-
"248075": {
|
| 282 |
-
"content": "<tts_text_bos_single>",
|
| 283 |
-
"single_word": false,
|
| 284 |
-
"lstrip": false,
|
| 285 |
-
"rstrip": false,
|
| 286 |
-
"normalized": false,
|
| 287 |
-
"special": true
|
| 288 |
-
},
|
| 289 |
-
"248076": {
|
| 290 |
-
"content": "<|audio_pad|>",
|
| 291 |
-
"single_word": false,
|
| 292 |
-
"lstrip": false,
|
| 293 |
-
"rstrip": false,
|
| 294 |
-
"normalized": false,
|
| 295 |
-
"special": true
|
| 296 |
-
}
|
| 297 |
-
}
|
| 298 |
}
|
|
|
|
| 21 |
"vision_eos_token": "<|vision_end|>"
|
| 22 |
},
|
| 23 |
"pad_token": "<|endoftext|>",
|
|
|
|
| 24 |
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 25 |
+
"processor_class": "Qwen3VLProcessor",
|
| 26 |
"split_special_tokens": false,
|
| 27 |
"tokenizer_class": "TokenizersBackend",
|
| 28 |
"unk_token": null,
|
| 29 |
"video_token": "<|video_pad|>",
|
| 30 |
"vision_bos_token": "<|vision_start|>",
|
| 31 |
+
"vision_eos_token": "<|vision_end|>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 32 |
}
|