Upload QwenImagePipeline
Browse files- README.md +198 -0
- model_index.json +25 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +150 -0
- text_encoder/generation_config.json +6 -0
- text_encoder/model-00001-of-00002.safetensors +3 -0
- text_encoder/model-00002-of-00002.safetensors +3 -0
- text_encoder/model.safetensors.index.json +0 -0
- tokenizer/added_tokens.json +24 -0
- tokenizer/chat_template.jinja +54 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +31 -0
- tokenizer/tokenizer_config.json +207 -0
- tokenizer/vocab.json +0 -0
- transformer/config.json +40 -0
- transformer/diffusion_pytorch_model-00001-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00003.safetensors +3 -0
- transformer/diffusion_pytorch_model.safetensors.index.json +0 -0
- vae/config.json +57 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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library_name: diffusers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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model_index.json
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{
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"_class_name": "QwenImagePipeline",
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"_diffusers_version": "0.35.0.dev0",
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"_name_or_path": "Qwen/Qwen-Image",
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"Qwen2_5_VLForConditionalGeneration"
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],
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"tokenizer": [
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"transformers",
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"Qwen2Tokenizer"
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],
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"transformer": [
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"diffusers",
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"QwenImageTransformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLQwenImage"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.35.0.dev0",
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"base_image_seq_len": 256,
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"base_shift": 0.5,
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"invert_sigmas": false,
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"max_image_seq_len": 8192,
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"max_shift": 0.9,
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"num_train_timesteps": 1000,
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"shift": 1.0,
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"shift_terminal": 0.02,
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"stochastic_sampling": false,
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"time_shift_type": "exponential",
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"use_beta_sigmas": false,
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"use_dynamic_shifting": true,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"image_token_id": 151655,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 128000,
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"max_window_layers": 28,
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"model_type": "qwen2_5_vl",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"quantization_config": {
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"_load_in_4bit": true,
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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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"bnb_4bit_use_double_quant": false,
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"llm_int8_enable_fp32_cpu_offload": false,
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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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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"mrope_section": [
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16,
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24,
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24
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],
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"rope_type": "default",
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"type": "default"
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},
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"text_config": {
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"image_token_id": null,
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56 |
+
"initializer_range": 0.02,
|
57 |
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"intermediate_size": 18944,
|
58 |
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"layer_types": [
|
59 |
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"full_attention",
|
60 |
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"full_attention",
|
61 |
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"full_attention",
|
62 |
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"full_attention",
|
63 |
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"full_attention",
|
64 |
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"full_attention",
|
65 |
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"full_attention",
|
66 |
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"full_attention",
|
67 |
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"full_attention",
|
68 |
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"full_attention",
|
69 |
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"full_attention",
|
70 |
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"full_attention",
|
71 |
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"full_attention",
|
72 |
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"full_attention",
|
73 |
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"full_attention",
|
74 |
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"full_attention",
|
75 |
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"full_attention",
|
76 |
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"full_attention",
|
77 |
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"full_attention",
|
78 |
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"full_attention",
|
79 |
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"full_attention",
|
80 |
+
"full_attention",
|
81 |
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"full_attention",
|
82 |
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"full_attention",
|
83 |
+
"full_attention",
|
84 |
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"full_attention",
|
85 |
+
"full_attention",
|
86 |
+
"full_attention"
|
87 |
+
],
|
88 |
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"max_position_embeddings": 128000,
|
89 |
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"max_window_layers": 28,
|
90 |
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"model_type": "qwen2_5_vl_text",
|
91 |
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"num_attention_heads": 28,
|
92 |
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"num_hidden_layers": 28,
|
93 |
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"num_key_value_heads": 4,
|
94 |
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"rms_norm_eps": 1e-06,
|
95 |
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"rope_scaling": {
|
96 |
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"mrope_section": [
|
97 |
+
16,
|
98 |
+
24,
|
99 |
+
24
|
100 |
+
],
|
101 |
+
"rope_type": "default",
|
102 |
+
"type": "default"
|
103 |
+
},
|
104 |
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"rope_theta": 1000000.0,
|
105 |
+
"sliding_window": null,
|
106 |
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"torch_dtype": "bfloat16",
|
107 |
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"use_cache": true,
|
108 |
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"use_sliding_window": false,
|
109 |
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"video_token_id": null,
|
110 |
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"vision_end_token_id": 151653,
|
111 |
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"vision_start_token_id": 151652,
|
112 |
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"vision_token_id": 151654,
|
113 |
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"vocab_size": 152064
|
114 |
+
},
|
115 |
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"tie_word_embeddings": false,
|
116 |
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"torch_dtype": "bfloat16",
|
117 |
+
"transformers_version": "4.52.0.dev0",
|
118 |
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"use_cache": true,
|
119 |
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"use_sliding_window": false,
|
120 |
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"video_token_id": 151656,
|
121 |
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"vision_config": {
|
122 |
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"depth": 32,
|
123 |
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"fullatt_block_indexes": [
|
124 |
+
7,
|
125 |
+
15,
|
126 |
+
23,
|
127 |
+
31
|
128 |
+
],
|
129 |
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"hidden_act": "silu",
|
130 |
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"hidden_size": 1280,
|
131 |
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"in_channels": 3,
|
132 |
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"in_chans": 3,
|
133 |
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"initializer_range": 0.02,
|
134 |
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"intermediate_size": 3420,
|
135 |
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"model_type": "qwen2_5_vl",
|
136 |
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"num_heads": 16,
|
137 |
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"out_hidden_size": 3584,
|
138 |
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"patch_size": 14,
|
139 |
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"spatial_merge_size": 2,
|
140 |
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"spatial_patch_size": 14,
|
141 |
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"temporal_patch_size": 2,
|
142 |
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"tokens_per_second": 2,
|
143 |
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"torch_dtype": "bfloat16",
|
144 |
+
"window_size": 112
|
145 |
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},
|
146 |
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"vision_end_token_id": 151653,
|
147 |
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"vision_start_token_id": 151652,
|
148 |
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"vision_token_id": 151654,
|
149 |
+
"vocab_size": 152064
|
150 |
+
}
|
text_encoder/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 151643,
|
4 |
+
"eos_token_id": 151645,
|
5 |
+
"transformers_version": "4.52.0.dev0"
|
6 |
+
}
|
text_encoder/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a85f0ecd05a3e32f557ac82c909b25243479a56b7d92789a37c1a8c35db876a
|
3 |
+
size 4975533694
|
text_encoder/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:992b628b103caca5b664e7e6f0e24bd001e307f944675977e34d46779a14b48d
|
3 |
+
size 1259325330
|
text_encoder/model.safetensors.index.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer/added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
+
"<|box_start|>": 151648,
|
6 |
+
"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
"<|im_end|>": 151645,
|
13 |
+
"<|im_start|>": 151644,
|
14 |
+
"<|image_pad|>": 151655,
|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
tokenizer/chat_template.jinja
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{%- if tools %}
|
2 |
+
{{- '<|im_start|>system\n' }}
|
3 |
+
{%- if messages[0]['role'] == 'system' %}
|
4 |
+
{{- messages[0]['content'] }}
|
5 |
+
{%- else %}
|
6 |
+
{{- 'You are a helpful assistant.' }}
|
7 |
+
{%- endif %}
|
8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
9 |
+
{%- for tool in tools %}
|
10 |
+
{{- "\n" }}
|
11 |
+
{{- tool | tojson }}
|
12 |
+
{%- endfor %}
|
13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
14 |
+
{%- else %}
|
15 |
+
{%- if messages[0]['role'] == 'system' %}
|
16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
17 |
+
{%- else %}
|
18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
19 |
+
{%- endif %}
|
20 |
+
{%- endif %}
|
21 |
+
{%- for message in messages %}
|
22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
24 |
+
{%- elif message.role == "assistant" %}
|
25 |
+
{{- '<|im_start|>' + message.role }}
|
26 |
+
{%- if message.content %}
|
27 |
+
{{- '\n' + message.content }}
|
28 |
+
{%- endif %}
|
29 |
+
{%- for tool_call in message.tool_calls %}
|
30 |
+
{%- if tool_call.function is defined %}
|
31 |
+
{%- set tool_call = tool_call.function %}
|
32 |
+
{%- endif %}
|
33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
34 |
+
{{- tool_call.name }}
|
35 |
+
{{- '", "arguments": ' }}
|
36 |
+
{{- tool_call.arguments | tojson }}
|
37 |
+
{{- '}\n</tool_call>' }}
|
38 |
+
{%- endfor %}
|
39 |
+
{{- '<|im_end|>\n' }}
|
40 |
+
{%- elif message.role == "tool" %}
|
41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
42 |
+
{{- '<|im_start|>user' }}
|
43 |
+
{%- endif %}
|
44 |
+
{{- '\n<tool_response>\n' }}
|
45 |
+
{{- message.content }}
|
46 |
+
{{- '\n</tool_response>' }}
|
47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
48 |
+
{{- '<|im_end|>\n' }}
|
49 |
+
{%- endif %}
|
50 |
+
{%- endif %}
|
51 |
+
{%- endfor %}
|
52 |
+
{%- if add_generation_prompt %}
|
53 |
+
{{- '<|im_start|>assistant\n' }}
|
54 |
+
{%- endif %}
|
tokenizer/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<|im_start|>",
|
4 |
+
"<|im_end|>",
|
5 |
+
"<|object_ref_start|>",
|
6 |
+
"<|object_ref_end|>",
|
7 |
+
"<|box_start|>",
|
8 |
+
"<|box_end|>",
|
9 |
+
"<|quad_start|>",
|
10 |
+
"<|quad_end|>",
|
11 |
+
"<|vision_start|>",
|
12 |
+
"<|vision_end|>",
|
13 |
+
"<|vision_pad|>",
|
14 |
+
"<|image_pad|>",
|
15 |
+
"<|video_pad|>"
|
16 |
+
],
|
17 |
+
"eos_token": {
|
18 |
+
"content": "<|im_end|>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
},
|
24 |
+
"pad_token": {
|
25 |
+
"content": "<|endoftext|>",
|
26 |
+
"lstrip": false,
|
27 |
+
"normalized": false,
|
28 |
+
"rstrip": false,
|
29 |
+
"single_word": false
|
30 |
+
}
|
31 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
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|
|
|
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|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"151647": {
|
38 |
+
"content": "<|object_ref_end|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
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"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
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"single_word": false,
|
51 |
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"special": true
|
52 |
+
},
|
53 |
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"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
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"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
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"special": true
|
60 |
+
},
|
61 |
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"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
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"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
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