Upload folder using huggingface_hub (#1)
Browse files- 02868b6f043a897acb798e881037eb3c5f3058a2d6e440b2bf60ce7ada5de07d (31979b2372f77223cb8cfb30fa7d77d920e33ad4)
- 3d86864b4999c81cb90f1f2f4a3a4c64f03907eb587218e6af1cb9993419a80b (2216f15aa3dcb97f185217a1fb23971736fe53d7)
- README.md +85 -0
- model.pt +3 -0
- smash_config.json +31 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2066 -0
README.md
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| 1 |
+
---
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| 2 |
+
thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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| 3 |
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base_model: jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
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metrics:
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| 5 |
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- memory_disk
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| 6 |
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- memory_inference
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| 7 |
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- inference_latency
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| 8 |
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- inference_throughput
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| 9 |
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- inference_CO2_emissions
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| 10 |
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- inference_energy_consumption
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| 11 |
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tags:
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| 12 |
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- pruna-ai
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| 13 |
+
---
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| 14 |
+
<!-- header start -->
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| 15 |
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<!-- 200823 -->
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| 16 |
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<div style="width: auto; margin-left: auto; margin-right: auto">
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| 17 |
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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| 18 |
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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| 19 |
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</a>
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| 20 |
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</div>
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| 21 |
+
<!-- header end -->
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| 22 |
+
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| 23 |
+
[](https://twitter.com/PrunaAI)
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| 24 |
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[](https://github.com/PrunaAI)
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| 25 |
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[](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
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| 26 |
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[](https://discord.gg/rskEr4BZJx)
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| 27 |
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| 28 |
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# Simply make AI models cheaper, smaller, faster, and greener!
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| 29 |
+
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| 30 |
+
- Give a thumbs up if you like this model!
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| 31 |
+
- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
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| 32 |
+
- Request access to easily compress your *own* AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
|
| 33 |
+
- Read the documentations to know more [here](https://pruna-ai-pruna.readthedocs-hosted.com/en/latest/)
|
| 34 |
+
- Join Pruna AI community on Discord [here](https://discord.gg/CP4VSgck) to share feedback/suggestions or get help.
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| 35 |
+
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| 36 |
+
## Results
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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**Frequently Asked Questions**
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| 41 |
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- ***How does the compression work?*** The model is compressed with quanto.
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| 42 |
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- ***How does the model quality change?*** The quality of the model output might vary compared to the base model.
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| 43 |
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- ***How is the model efficiency evaluated?*** These results were obtained on HARDWARE_NAME with configuration described in `model/smash_config.json` and are obtained after a hardware warmup. The smashed model is directly compared to the original base model. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...). We recommend to directly run them in the use-case conditions to know if the smashed model can benefit you.
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| 44 |
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- ***What is the model format?*** We use safetensors.
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| 45 |
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- ***What calibration data has been used?*** If needed by the compression method, we used WikiText as the calibration data.
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| 46 |
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- ***What is the naming convention for Pruna Huggingface models?*** We take the original model name and append "turbo", "tiny", or "green" if the smashed model has a measured inference speed, inference memory, or inference energy consumption which is less than 90% of the original base model.
|
| 47 |
+
- ***How to compress my own models?*** You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
|
| 48 |
+
- ***What are "first" metrics?*** Results mentioning "first" are obtained after the first run of the model. The first run might take more memory or be slower than the subsequent runs due cuda overheads.
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| 49 |
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- ***What are "Sync" and "Async" metrics?*** "Sync" metrics are obtained by syncing all GPU processes and stop measurement when all of them are executed. "Async" metrics are obtained without syncing all GPU processes and stop when the model output can be used by the CPU. We provide both metrics since both could be relevant depending on the use-case. We recommend to test the efficiency gains directly in your use-cases.
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| 50 |
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| 51 |
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## Setup
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| 52 |
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| 53 |
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You can run the smashed model with these steps:
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| 54 |
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0. Check requirements from the original repo jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 installed. In particular, check python, cuda, and transformers versions.
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| 56 |
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1. Make sure that you have installed quantization related packages.
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| 57 |
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```bash
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| 58 |
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pip install quanto
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| 59 |
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```
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| 60 |
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2. Load & run the model.
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| 61 |
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```python
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| 62 |
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from transformers import AutoModelForCausalLM, AutoTokenizer
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| 63 |
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IMPORTS
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| 64 |
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| 65 |
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model = AutoModelForCausalLM.from_pretrained("PrunaAI/jpacifico-French-Alpaca-Llama3-8B-Instruct-v1.0-QUANTO-int4bit-smashed", trust_remote_code=True, device_map='auto')
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| 66 |
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tokenizer = AutoTokenizer.from_pretrained("jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0")
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| 67 |
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| 68 |
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input_ids = tokenizer("What is the color of prunes?,", return_tensors='pt').to(model.device)["input_ids"]
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| 69 |
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|
| 70 |
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outputs = model.generate(input_ids, max_new_tokens=216)
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| 71 |
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tokenizer.decode(outputs[0])
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| 72 |
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```
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| 73 |
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## Configurations
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| 75 |
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The configuration info are in `smash_config.json`.
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## Credits & License
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| 79 |
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The license of the smashed model follows the license of the original model. Please check the license of the original model jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 before using this model which provided the base model. The license of the `pruna-engine` is [here](https://pypi.org/project/pruna-engine/) on Pypi.
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| 81 |
+
|
| 82 |
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## Want to compress other models?
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| 83 |
+
|
| 84 |
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- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
|
| 85 |
+
- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
|
model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9e716e4cd75c5acca0266dac8743f8dfcce61a5f20397a5be62bacbbb58bf06
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size 16060872742
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smash_config.json
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{
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| 2 |
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"api_key": null,
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| 3 |
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"verify_url": "http://johnrachwan.pythonanywhere.com",
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| 4 |
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"smash_config": {
|
| 5 |
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"pruners": "None",
|
| 6 |
+
"pruning_ratio": 0.0,
|
| 7 |
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"factorizers": "None",
|
| 8 |
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"quantizers": "['quanto']",
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| 9 |
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"weight_quantization_bits": "int4",
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| 10 |
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"output_deviation": 0.005,
|
| 11 |
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"compilers": "None",
|
| 12 |
+
"static_batch": true,
|
| 13 |
+
"static_shape": true,
|
| 14 |
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"controlnet": "None",
|
| 15 |
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"unet_dim": 4,
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| 16 |
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"device": "cuda",
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| 17 |
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"cache_dir": "/ceph/hdd/staff/charpent/.cache/models9_gv0zu2",
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| 18 |
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"batch_size": 1,
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| 19 |
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"model_name": "jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0",
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| 20 |
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"task": "text_text_generation",
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| 21 |
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"max_batch_size": 1,
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| 22 |
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"qtype_weight": "torch.qint8",
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| 23 |
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"qtype_activation": "torch.quint8",
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| 24 |
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"qobserver": "<class 'torch.ao.quantization.observer.MinMaxObserver'>",
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| 25 |
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"qscheme": "torch.per_tensor_symmetric",
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| 26 |
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"qconfig": "x86",
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| 27 |
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"group_size": 128,
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| 28 |
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"damp_percent": 0.1,
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| 29 |
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"save_load_fn": "torch"
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| 30 |
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}
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}
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special_tokens_map.json
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<|begin_of_text|>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
|
| 8 |
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},
|
| 9 |
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"eos_token": {
|
| 10 |
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"content": "<|end_of_text|>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
|
| 15 |
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},
|
| 16 |
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"pad_token": {
|
| 17 |
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"content": "<|end_of_text|>",
|
| 18 |
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"lstrip": false,
|
| 19 |
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"normalized": false,
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| 20 |
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"rstrip": false,
|
| 21 |
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"single_word": false
|
| 22 |
+
}
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| 23 |
+
}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"add_eos_token": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"128000": {
|
| 5 |
+
"content": "<|begin_of_text|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"128001": {
|
| 13 |
+
"content": "<|end_of_text|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"128002": {
|
| 21 |
+
"content": "<|reserved_special_token_0|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
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|
| 29 |
+
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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| 95 |
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|
| 96 |
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| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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| 108 |
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|
| 109 |
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|
| 110 |
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| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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|
| 120 |
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| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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| 137 |
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|
| 138 |
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| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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|
| 147 |
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| 148 |
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|
| 149 |
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|
| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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|
| 157 |
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|
| 158 |
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| 159 |
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| 160 |
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| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 170 |
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| 171 |
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| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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|
| 181 |
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| 182 |
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| 183 |
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| 184 |
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| 185 |
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| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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| 191 |
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|
| 192 |
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| 193 |
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| 194 |
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|
| 195 |
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| 196 |
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|
| 197 |
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|
| 198 |
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| 199 |
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| 200 |
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| 201 |
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| 202 |
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|
| 203 |
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| 204 |
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|
| 205 |
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| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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| 215 |
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|
| 216 |
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| 217 |
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| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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| 223 |
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|
| 224 |
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| 226 |
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| 227 |
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| 228 |
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|
| 229 |
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|
| 230 |
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| 231 |
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| 232 |
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| 233 |
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| 234 |
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| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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| 239 |
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|
| 240 |
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| 241 |
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| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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| 249 |
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| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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| 265 |
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| 266 |
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|
| 267 |
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|
| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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| 305 |
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|
| 306 |
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|
| 307 |
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|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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|
| 331 |
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|
| 332 |
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|
| 333 |
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|
| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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| 345 |
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| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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|
| 352 |
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| 353 |
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|
| 354 |
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| 355 |
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|
| 356 |
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|
| 357 |
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|
| 358 |
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| 359 |
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|
| 360 |
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| 361 |
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| 362 |
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| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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| 369 |
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| 370 |
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|
| 371 |
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| 372 |
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|
| 373 |
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|
| 374 |
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| 375 |
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| 376 |
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| 377 |
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| 378 |
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| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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| 383 |
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|
| 384 |
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| 385 |
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| 386 |
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| 387 |
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|
| 388 |
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|
| 389 |
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|
| 390 |
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| 391 |
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|
| 392 |
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| 393 |
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| 394 |
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| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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| 399 |
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| 400 |
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| 401 |
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| 402 |
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| 403 |
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| 404 |
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| 405 |
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| 406 |
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| 407 |
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| 408 |
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| 409 |
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| 410 |
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| 411 |
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| 412 |
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| 413 |
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| 414 |
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| 415 |
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| 416 |
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| 417 |
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| 418 |
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| 419 |
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| 420 |
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|
| 421 |
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| 422 |
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| 423 |
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| 424 |
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| 425 |
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| 426 |
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| 427 |
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| 428 |
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|
| 429 |
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| 430 |
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| 431 |
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| 432 |
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| 434 |
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| 435 |
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| 436 |
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|
| 437 |
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| 438 |
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| 439 |
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| 440 |
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| 441 |
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| 442 |
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| 443 |
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| 444 |
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| 445 |
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| 446 |
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| 447 |
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| 448 |
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| 450 |
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| 451 |
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| 452 |
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| 1680 |
+
"rstrip": false,
|
| 1681 |
+
"single_word": false,
|
| 1682 |
+
"special": true
|
| 1683 |
+
},
|
| 1684 |
+
"128210": {
|
| 1685 |
+
"content": "<|reserved_special_token_205|>",
|
| 1686 |
+
"lstrip": false,
|
| 1687 |
+
"normalized": false,
|
| 1688 |
+
"rstrip": false,
|
| 1689 |
+
"single_word": false,
|
| 1690 |
+
"special": true
|
| 1691 |
+
},
|
| 1692 |
+
"128211": {
|
| 1693 |
+
"content": "<|reserved_special_token_206|>",
|
| 1694 |
+
"lstrip": false,
|
| 1695 |
+
"normalized": false,
|
| 1696 |
+
"rstrip": false,
|
| 1697 |
+
"single_word": false,
|
| 1698 |
+
"special": true
|
| 1699 |
+
},
|
| 1700 |
+
"128212": {
|
| 1701 |
+
"content": "<|reserved_special_token_207|>",
|
| 1702 |
+
"lstrip": false,
|
| 1703 |
+
"normalized": false,
|
| 1704 |
+
"rstrip": false,
|
| 1705 |
+
"single_word": false,
|
| 1706 |
+
"special": true
|
| 1707 |
+
},
|
| 1708 |
+
"128213": {
|
| 1709 |
+
"content": "<|reserved_special_token_208|>",
|
| 1710 |
+
"lstrip": false,
|
| 1711 |
+
"normalized": false,
|
| 1712 |
+
"rstrip": false,
|
| 1713 |
+
"single_word": false,
|
| 1714 |
+
"special": true
|
| 1715 |
+
},
|
| 1716 |
+
"128214": {
|
| 1717 |
+
"content": "<|reserved_special_token_209|>",
|
| 1718 |
+
"lstrip": false,
|
| 1719 |
+
"normalized": false,
|
| 1720 |
+
"rstrip": false,
|
| 1721 |
+
"single_word": false,
|
| 1722 |
+
"special": true
|
| 1723 |
+
},
|
| 1724 |
+
"128215": {
|
| 1725 |
+
"content": "<|reserved_special_token_210|>",
|
| 1726 |
+
"lstrip": false,
|
| 1727 |
+
"normalized": false,
|
| 1728 |
+
"rstrip": false,
|
| 1729 |
+
"single_word": false,
|
| 1730 |
+
"special": true
|
| 1731 |
+
},
|
| 1732 |
+
"128216": {
|
| 1733 |
+
"content": "<|reserved_special_token_211|>",
|
| 1734 |
+
"lstrip": false,
|
| 1735 |
+
"normalized": false,
|
| 1736 |
+
"rstrip": false,
|
| 1737 |
+
"single_word": false,
|
| 1738 |
+
"special": true
|
| 1739 |
+
},
|
| 1740 |
+
"128217": {
|
| 1741 |
+
"content": "<|reserved_special_token_212|>",
|
| 1742 |
+
"lstrip": false,
|
| 1743 |
+
"normalized": false,
|
| 1744 |
+
"rstrip": false,
|
| 1745 |
+
"single_word": false,
|
| 1746 |
+
"special": true
|
| 1747 |
+
},
|
| 1748 |
+
"128218": {
|
| 1749 |
+
"content": "<|reserved_special_token_213|>",
|
| 1750 |
+
"lstrip": false,
|
| 1751 |
+
"normalized": false,
|
| 1752 |
+
"rstrip": false,
|
| 1753 |
+
"single_word": false,
|
| 1754 |
+
"special": true
|
| 1755 |
+
},
|
| 1756 |
+
"128219": {
|
| 1757 |
+
"content": "<|reserved_special_token_214|>",
|
| 1758 |
+
"lstrip": false,
|
| 1759 |
+
"normalized": false,
|
| 1760 |
+
"rstrip": false,
|
| 1761 |
+
"single_word": false,
|
| 1762 |
+
"special": true
|
| 1763 |
+
},
|
| 1764 |
+
"128220": {
|
| 1765 |
+
"content": "<|reserved_special_token_215|>",
|
| 1766 |
+
"lstrip": false,
|
| 1767 |
+
"normalized": false,
|
| 1768 |
+
"rstrip": false,
|
| 1769 |
+
"single_word": false,
|
| 1770 |
+
"special": true
|
| 1771 |
+
},
|
| 1772 |
+
"128221": {
|
| 1773 |
+
"content": "<|reserved_special_token_216|>",
|
| 1774 |
+
"lstrip": false,
|
| 1775 |
+
"normalized": false,
|
| 1776 |
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"rstrip": false,
|
| 1777 |
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"single_word": false,
|
| 1778 |
+
"special": true
|
| 1779 |
+
},
|
| 1780 |
+
"128222": {
|
| 1781 |
+
"content": "<|reserved_special_token_217|>",
|
| 1782 |
+
"lstrip": false,
|
| 1783 |
+
"normalized": false,
|
| 1784 |
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"rstrip": false,
|
| 1785 |
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"single_word": false,
|
| 1786 |
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"special": true
|
| 1787 |
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},
|
| 1788 |
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"128223": {
|
| 1789 |
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"content": "<|reserved_special_token_218|>",
|
| 1790 |
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"lstrip": false,
|
| 1791 |
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"normalized": false,
|
| 1792 |
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|
| 1793 |
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"single_word": false,
|
| 1794 |
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"special": true
|
| 1795 |
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},
|
| 1796 |
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"128224": {
|
| 1797 |
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"content": "<|reserved_special_token_219|>",
|
| 1798 |
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"lstrip": false,
|
| 1799 |
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"normalized": false,
|
| 1800 |
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"rstrip": false,
|
| 1801 |
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"single_word": false,
|
| 1802 |
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"special": true
|
| 1803 |
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},
|
| 1804 |
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"128225": {
|
| 1805 |
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"content": "<|reserved_special_token_220|>",
|
| 1806 |
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"lstrip": false,
|
| 1807 |
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"normalized": false,
|
| 1808 |
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"rstrip": false,
|
| 1809 |
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"single_word": false,
|
| 1810 |
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"special": true
|
| 1811 |
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},
|
| 1812 |
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"128226": {
|
| 1813 |
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"content": "<|reserved_special_token_221|>",
|
| 1814 |
+
"lstrip": false,
|
| 1815 |
+
"normalized": false,
|
| 1816 |
+
"rstrip": false,
|
| 1817 |
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"single_word": false,
|
| 1818 |
+
"special": true
|
| 1819 |
+
},
|
| 1820 |
+
"128227": {
|
| 1821 |
+
"content": "<|reserved_special_token_222|>",
|
| 1822 |
+
"lstrip": false,
|
| 1823 |
+
"normalized": false,
|
| 1824 |
+
"rstrip": false,
|
| 1825 |
+
"single_word": false,
|
| 1826 |
+
"special": true
|
| 1827 |
+
},
|
| 1828 |
+
"128228": {
|
| 1829 |
+
"content": "<|reserved_special_token_223|>",
|
| 1830 |
+
"lstrip": false,
|
| 1831 |
+
"normalized": false,
|
| 1832 |
+
"rstrip": false,
|
| 1833 |
+
"single_word": false,
|
| 1834 |
+
"special": true
|
| 1835 |
+
},
|
| 1836 |
+
"128229": {
|
| 1837 |
+
"content": "<|reserved_special_token_224|>",
|
| 1838 |
+
"lstrip": false,
|
| 1839 |
+
"normalized": false,
|
| 1840 |
+
"rstrip": false,
|
| 1841 |
+
"single_word": false,
|
| 1842 |
+
"special": true
|
| 1843 |
+
},
|
| 1844 |
+
"128230": {
|
| 1845 |
+
"content": "<|reserved_special_token_225|>",
|
| 1846 |
+
"lstrip": false,
|
| 1847 |
+
"normalized": false,
|
| 1848 |
+
"rstrip": false,
|
| 1849 |
+
"single_word": false,
|
| 1850 |
+
"special": true
|
| 1851 |
+
},
|
| 1852 |
+
"128231": {
|
| 1853 |
+
"content": "<|reserved_special_token_226|>",
|
| 1854 |
+
"lstrip": false,
|
| 1855 |
+
"normalized": false,
|
| 1856 |
+
"rstrip": false,
|
| 1857 |
+
"single_word": false,
|
| 1858 |
+
"special": true
|
| 1859 |
+
},
|
| 1860 |
+
"128232": {
|
| 1861 |
+
"content": "<|reserved_special_token_227|>",
|
| 1862 |
+
"lstrip": false,
|
| 1863 |
+
"normalized": false,
|
| 1864 |
+
"rstrip": false,
|
| 1865 |
+
"single_word": false,
|
| 1866 |
+
"special": true
|
| 1867 |
+
},
|
| 1868 |
+
"128233": {
|
| 1869 |
+
"content": "<|reserved_special_token_228|>",
|
| 1870 |
+
"lstrip": false,
|
| 1871 |
+
"normalized": false,
|
| 1872 |
+
"rstrip": false,
|
| 1873 |
+
"single_word": false,
|
| 1874 |
+
"special": true
|
| 1875 |
+
},
|
| 1876 |
+
"128234": {
|
| 1877 |
+
"content": "<|reserved_special_token_229|>",
|
| 1878 |
+
"lstrip": false,
|
| 1879 |
+
"normalized": false,
|
| 1880 |
+
"rstrip": false,
|
| 1881 |
+
"single_word": false,
|
| 1882 |
+
"special": true
|
| 1883 |
+
},
|
| 1884 |
+
"128235": {
|
| 1885 |
+
"content": "<|reserved_special_token_230|>",
|
| 1886 |
+
"lstrip": false,
|
| 1887 |
+
"normalized": false,
|
| 1888 |
+
"rstrip": false,
|
| 1889 |
+
"single_word": false,
|
| 1890 |
+
"special": true
|
| 1891 |
+
},
|
| 1892 |
+
"128236": {
|
| 1893 |
+
"content": "<|reserved_special_token_231|>",
|
| 1894 |
+
"lstrip": false,
|
| 1895 |
+
"normalized": false,
|
| 1896 |
+
"rstrip": false,
|
| 1897 |
+
"single_word": false,
|
| 1898 |
+
"special": true
|
| 1899 |
+
},
|
| 1900 |
+
"128237": {
|
| 1901 |
+
"content": "<|reserved_special_token_232|>",
|
| 1902 |
+
"lstrip": false,
|
| 1903 |
+
"normalized": false,
|
| 1904 |
+
"rstrip": false,
|
| 1905 |
+
"single_word": false,
|
| 1906 |
+
"special": true
|
| 1907 |
+
},
|
| 1908 |
+
"128238": {
|
| 1909 |
+
"content": "<|reserved_special_token_233|>",
|
| 1910 |
+
"lstrip": false,
|
| 1911 |
+
"normalized": false,
|
| 1912 |
+
"rstrip": false,
|
| 1913 |
+
"single_word": false,
|
| 1914 |
+
"special": true
|
| 1915 |
+
},
|
| 1916 |
+
"128239": {
|
| 1917 |
+
"content": "<|reserved_special_token_234|>",
|
| 1918 |
+
"lstrip": false,
|
| 1919 |
+
"normalized": false,
|
| 1920 |
+
"rstrip": false,
|
| 1921 |
+
"single_word": false,
|
| 1922 |
+
"special": true
|
| 1923 |
+
},
|
| 1924 |
+
"128240": {
|
| 1925 |
+
"content": "<|reserved_special_token_235|>",
|
| 1926 |
+
"lstrip": false,
|
| 1927 |
+
"normalized": false,
|
| 1928 |
+
"rstrip": false,
|
| 1929 |
+
"single_word": false,
|
| 1930 |
+
"special": true
|
| 1931 |
+
},
|
| 1932 |
+
"128241": {
|
| 1933 |
+
"content": "<|reserved_special_token_236|>",
|
| 1934 |
+
"lstrip": false,
|
| 1935 |
+
"normalized": false,
|
| 1936 |
+
"rstrip": false,
|
| 1937 |
+
"single_word": false,
|
| 1938 |
+
"special": true
|
| 1939 |
+
},
|
| 1940 |
+
"128242": {
|
| 1941 |
+
"content": "<|reserved_special_token_237|>",
|
| 1942 |
+
"lstrip": false,
|
| 1943 |
+
"normalized": false,
|
| 1944 |
+
"rstrip": false,
|
| 1945 |
+
"single_word": false,
|
| 1946 |
+
"special": true
|
| 1947 |
+
},
|
| 1948 |
+
"128243": {
|
| 1949 |
+
"content": "<|reserved_special_token_238|>",
|
| 1950 |
+
"lstrip": false,
|
| 1951 |
+
"normalized": false,
|
| 1952 |
+
"rstrip": false,
|
| 1953 |
+
"single_word": false,
|
| 1954 |
+
"special": true
|
| 1955 |
+
},
|
| 1956 |
+
"128244": {
|
| 1957 |
+
"content": "<|reserved_special_token_239|>",
|
| 1958 |
+
"lstrip": false,
|
| 1959 |
+
"normalized": false,
|
| 1960 |
+
"rstrip": false,
|
| 1961 |
+
"single_word": false,
|
| 1962 |
+
"special": true
|
| 1963 |
+
},
|
| 1964 |
+
"128245": {
|
| 1965 |
+
"content": "<|reserved_special_token_240|>",
|
| 1966 |
+
"lstrip": false,
|
| 1967 |
+
"normalized": false,
|
| 1968 |
+
"rstrip": false,
|
| 1969 |
+
"single_word": false,
|
| 1970 |
+
"special": true
|
| 1971 |
+
},
|
| 1972 |
+
"128246": {
|
| 1973 |
+
"content": "<|reserved_special_token_241|>",
|
| 1974 |
+
"lstrip": false,
|
| 1975 |
+
"normalized": false,
|
| 1976 |
+
"rstrip": false,
|
| 1977 |
+
"single_word": false,
|
| 1978 |
+
"special": true
|
| 1979 |
+
},
|
| 1980 |
+
"128247": {
|
| 1981 |
+
"content": "<|reserved_special_token_242|>",
|
| 1982 |
+
"lstrip": false,
|
| 1983 |
+
"normalized": false,
|
| 1984 |
+
"rstrip": false,
|
| 1985 |
+
"single_word": false,
|
| 1986 |
+
"special": true
|
| 1987 |
+
},
|
| 1988 |
+
"128248": {
|
| 1989 |
+
"content": "<|reserved_special_token_243|>",
|
| 1990 |
+
"lstrip": false,
|
| 1991 |
+
"normalized": false,
|
| 1992 |
+
"rstrip": false,
|
| 1993 |
+
"single_word": false,
|
| 1994 |
+
"special": true
|
| 1995 |
+
},
|
| 1996 |
+
"128249": {
|
| 1997 |
+
"content": "<|reserved_special_token_244|>",
|
| 1998 |
+
"lstrip": false,
|
| 1999 |
+
"normalized": false,
|
| 2000 |
+
"rstrip": false,
|
| 2001 |
+
"single_word": false,
|
| 2002 |
+
"special": true
|
| 2003 |
+
},
|
| 2004 |
+
"128250": {
|
| 2005 |
+
"content": "<|reserved_special_token_245|>",
|
| 2006 |
+
"lstrip": false,
|
| 2007 |
+
"normalized": false,
|
| 2008 |
+
"rstrip": false,
|
| 2009 |
+
"single_word": false,
|
| 2010 |
+
"special": true
|
| 2011 |
+
},
|
| 2012 |
+
"128251": {
|
| 2013 |
+
"content": "<|reserved_special_token_246|>",
|
| 2014 |
+
"lstrip": false,
|
| 2015 |
+
"normalized": false,
|
| 2016 |
+
"rstrip": false,
|
| 2017 |
+
"single_word": false,
|
| 2018 |
+
"special": true
|
| 2019 |
+
},
|
| 2020 |
+
"128252": {
|
| 2021 |
+
"content": "<|reserved_special_token_247|>",
|
| 2022 |
+
"lstrip": false,
|
| 2023 |
+
"normalized": false,
|
| 2024 |
+
"rstrip": false,
|
| 2025 |
+
"single_word": false,
|
| 2026 |
+
"special": true
|
| 2027 |
+
},
|
| 2028 |
+
"128253": {
|
| 2029 |
+
"content": "<|reserved_special_token_248|>",
|
| 2030 |
+
"lstrip": false,
|
| 2031 |
+
"normalized": false,
|
| 2032 |
+
"rstrip": false,
|
| 2033 |
+
"single_word": false,
|
| 2034 |
+
"special": true
|
| 2035 |
+
},
|
| 2036 |
+
"128254": {
|
| 2037 |
+
"content": "<|reserved_special_token_249|>",
|
| 2038 |
+
"lstrip": false,
|
| 2039 |
+
"normalized": false,
|
| 2040 |
+
"rstrip": false,
|
| 2041 |
+
"single_word": false,
|
| 2042 |
+
"special": true
|
| 2043 |
+
},
|
| 2044 |
+
"128255": {
|
| 2045 |
+
"content": "<|reserved_special_token_250|>",
|
| 2046 |
+
"lstrip": false,
|
| 2047 |
+
"normalized": false,
|
| 2048 |
+
"rstrip": false,
|
| 2049 |
+
"single_word": false,
|
| 2050 |
+
"special": true
|
| 2051 |
+
}
|
| 2052 |
+
},
|
| 2053 |
+
"bos_token": "<|begin_of_text|>",
|
| 2054 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
|
| 2055 |
+
"clean_up_tokenization_spaces": true,
|
| 2056 |
+
"eos_token": "<|end_of_text|>",
|
| 2057 |
+
"legacy": false,
|
| 2058 |
+
"model_input_names": [
|
| 2059 |
+
"input_ids",
|
| 2060 |
+
"attention_mask"
|
| 2061 |
+
],
|
| 2062 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2063 |
+
"pad_token": "<|end_of_text|>",
|
| 2064 |
+
"padding_side": "left",
|
| 2065 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2066 |
+
}
|