Upload 12 files
Browse files- lora_li_V5/checkpoint-350/README.md +207 -0
- lora_li_V5/checkpoint-350/adapter_config.json +23 -0
- lora_li_V5/checkpoint-350/adapter_model.bin +3 -0
- lora_li_V5/checkpoint-350/optimizer.pt +3 -0
- lora_li_V5/checkpoint-350/rng_state.pth +3 -0
- lora_li_V5/checkpoint-350/scheduler.pt +3 -0
- lora_li_V5/checkpoint-350/special_tokens_map.json +9 -0
- lora_li_V5/checkpoint-350/spiece.model +3 -0
- lora_li_V5/checkpoint-350/tokenizer.json +0 -0
- lora_li_V5/checkpoint-350/tokenizer_config.json +18 -0
- lora_li_V5/checkpoint-350/trainer_state.json +999 -0
- lora_li_V5/checkpoint-350/training_args.bin +3 -0
lora_li_V5/checkpoint-350/README.md
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---
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library_name: peft
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base_model: line-corporation/japanese-large-lm-3.6b
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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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- **Developed by:** [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 Data 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 Data 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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## Training procedure
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### Framework versions
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- PEFT 0.6.2
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lora_li_V5/checkpoint-350/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "line-corporation/japanese-large-lm-3.6b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 8,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 24,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense",
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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lora_li_V5/checkpoint-350/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:293e8c7388b1d61f4c5c32375b64fe91c39c48fe5fa3af824f4d077776420d34
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size 53128554
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lora_li_V5/checkpoint-350/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a3049363307409363c67a1ecccf6474acc2df025acac8fb4ca8ee6b358f1ef5
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size 26730618
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lora_li_V5/checkpoint-350/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8581e8b68dc6c6196afee9e66ea321c280a0753f1cbf05a1d267b0cbec773f1e
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size 14244
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lora_li_V5/checkpoint-350/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f9945ea8e74b658f882c54c4765f842ed7997c3e0788b118d20f344f68ad639
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size 1064
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lora_li_V5/checkpoint-350/special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<cls>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "<sep>",
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"unk_token": "<unk>"
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}
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lora_li_V5/checkpoint-350/spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c5c56a739832923347681ed8a03a9cbf5afb6d1fe60089a5b01dd2dd063ab71
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size 1208648
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lora_li_V5/checkpoint-350/tokenizer.json
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lora_li_V5/checkpoint-350/tokenizer_config.json
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{
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"additional_special_tokens": null,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<cls>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"extra_ids": 0,
|
| 9 |
+
"keep_accents": true,
|
| 10 |
+
"legacy": true,
|
| 11 |
+
"mask_token": "<mask>",
|
| 12 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 13 |
+
"pad_token": "<pad>",
|
| 14 |
+
"sep_token": "<sep>",
|
| 15 |
+
"sp_model_kwargs": {},
|
| 16 |
+
"tokenizer_class": "T5Tokenizer",
|
| 17 |
+
"unk_token": "<unk>"
|
| 18 |
+
}
|
lora_li_V5/checkpoint-350/trainer_state.json
ADDED
|
@@ -0,0 +1,999 @@
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