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Delete Bio-Medical-Llama-3-8B-finetuned
Browse files- Bio-Medical-Llama-3-8B-finetuned/model/README.md +0 -202
- Bio-Medical-Llama-3-8B-finetuned/model/adapter_config.json +0 -30
- Bio-Medical-Llama-3-8B-finetuned/model/adapter_model.safetensors +0 -3
- Bio-Medical-Llama-3-8B-finetuned/model/training_args.bin +0 -3
- Bio-Medical-Llama-3-8B-finetuned/tokenizer/special_tokens_map.json +0 -23
- Bio-Medical-Llama-3-8B-finetuned/tokenizer/tokenizer.json +0 -0
- Bio-Medical-Llama-3-8B-finetuned/tokenizer/tokenizer_config.json +0 -2063
Bio-Medical-Llama-3-8B-finetuned/model/README.md
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---
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base_model: ContactDoctor/Bio-Medical-Llama-3-8B
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library_name: peft
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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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- **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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- **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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### Testing Data, Factors & Metrics
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#### Testing Data
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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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[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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[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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### Framework versions
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- PEFT 0.13.2
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Bio-Medical-Llama-3-8B-finetuned/model/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": "ContactDoctor/Bio-Medical-Llama-3-8B",
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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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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"k_proj"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:03d0b63dc6fe16bcc072d3f7f39bd89b0b2c213a72157ed09e28e92d7e43ab4f
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size 18899856
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version https://git-lfs.github.com/spec/v1
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oid sha256:46ec0056fdd0b874ddbe290726a684804081afe88c89a1766dc8aac3df79a727
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size 5112
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{
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"bos_token": {
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"lstrip": false,
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{
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"content": "<|begin_of_text|>",
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"special": true
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"content": "<|end_of_text|>",
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| 20 |
-
"content": "<|reserved_special_token_0|>",
|
| 21 |
-
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|
| 22 |
-
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|
| 23 |
-
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|
| 24 |
-
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|
| 25 |
-
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|
| 26 |
-
},
|
| 27 |
-
"128003": {
|
| 28 |
-
"content": "<|reserved_special_token_1|>",
|
| 29 |
-
"lstrip": false,
|
| 30 |
-
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|
| 31 |
-
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|
| 32 |
-
"single_word": false,
|
| 33 |
-
"special": false
|
| 34 |
-
},
|
| 35 |
-
"128004": {
|
| 36 |
-
"content": "<|reserved_special_token_2|>",
|
| 37 |
-
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|
| 38 |
-
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|
| 39 |
-
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|
| 40 |
-
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|
| 41 |
-
"special": false
|
| 42 |
-
},
|
| 43 |
-
"128005": {
|
| 44 |
-
"content": "<|reserved_special_token_3|>",
|
| 45 |
-
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|
| 46 |
-
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|
| 47 |
-
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|
| 48 |
-
"single_word": false,
|
| 49 |
-
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|
| 50 |
-
},
|
| 51 |
-
"128006": {
|
| 52 |
-
"content": "<|start_header_id|>",
|
| 53 |
-
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|
| 54 |
-
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|
| 55 |
-
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|
| 56 |
-
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|
| 57 |
-
"special": false
|
| 58 |
-
},
|
| 59 |
-
"128007": {
|
| 60 |
-
"content": "<|end_header_id|>",
|
| 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 |
-
},
|
| 67 |
-
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|
| 68 |
-
"content": "<|reserved_special_token_4|>",
|
| 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 |
-
},
|
| 75 |
-
"128009": {
|
| 76 |
-
"content": "<|eot_id|>",
|
| 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 |
-
"content": "<|reserved_special_token_5|>",
|
| 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 |
-
"content": "<|reserved_special_token_8|>",
|
| 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 |
-
},
|
| 115 |
-
"128014": {
|
| 116 |
-
"content": "<|reserved_special_token_9|>",
|
| 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 |
-
},
|
| 123 |
-
"128015": {
|
| 124 |
-
"content": "<|reserved_special_token_10|>",
|
| 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 |
-
"content": "<|reserved_special_token_11|>",
|
| 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 |
-
},
|
| 139 |
-
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|
| 140 |
-
"content": "<|reserved_special_token_12|>",
|
| 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 |
-
},
|
| 147 |
-
"128018": {
|
| 148 |
-
"content": "<|reserved_special_token_13|>",
|
| 149 |
-
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|
| 150 |
-
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|
| 151 |
-
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|
| 152 |
-
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|
| 153 |
-
"special": false
|
| 154 |
-
},
|
| 155 |
-
"128019": {
|
| 156 |
-
"content": "<|reserved_special_token_14|>",
|
| 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 |
-
"content": "<|reserved_special_token_15|>",
|
| 165 |
-
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|
| 166 |
-
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|
| 167 |
-
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|
| 168 |
-
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|
| 169 |
-
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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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|
| 225 |
-
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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 |
-
},
|
| 291 |
-
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|
| 292 |
-
"content": "<|reserved_special_token_31|>",
|
| 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 |
-
},
|
| 299 |
-
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|
| 300 |
-
"content": "<|reserved_special_token_32|>",
|
| 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 |
-
},
|
| 307 |
-
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|
| 308 |
-
"content": "<|reserved_special_token_33|>",
|
| 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 |
-
"content": "<|reserved_special_token_34|>",
|
| 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 |
-
},
|
| 323 |
-
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|
| 324 |
-
"content": "<|reserved_special_token_35|>",
|
| 325 |
-
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|
| 326 |
-
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|
| 327 |
-
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|
| 328 |
-
"single_word": false,
|
| 329 |
-
"special": false
|
| 330 |
-
},
|
| 331 |
-
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|
| 332 |
-
"content": "<|reserved_special_token_36|>",
|
| 333 |
-
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|
| 334 |
-
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|
| 335 |
-
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|
| 336 |
-
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|
| 337 |
-
"special": false
|
| 338 |
-
},
|
| 339 |
-
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|
| 340 |
-
"content": "<|reserved_special_token_37|>",
|
| 341 |
-
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|
| 342 |
-
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|
| 343 |
-
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|
| 344 |
-
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|
| 345 |
-
"special": false
|
| 346 |
-
},
|
| 347 |
-
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|
| 348 |
-
"content": "<|reserved_special_token_38|>",
|
| 349 |
-
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|
| 350 |
-
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|
| 351 |
-
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|
| 352 |
-
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|
| 353 |
-
"special": false
|
| 354 |
-
},
|
| 355 |
-
"128044": {
|
| 356 |
-
"content": "<|reserved_special_token_39|>",
|
| 357 |
-
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|
| 358 |
-
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|
| 359 |
-
"rstrip": false,
|
| 360 |
-
"single_word": false,
|
| 361 |
-
"special": false
|
| 362 |
-
},
|
| 363 |
-
"128045": {
|
| 364 |
-
"content": "<|reserved_special_token_40|>",
|
| 365 |
-
"lstrip": false,
|
| 366 |
-
"normalized": false,
|
| 367 |
-
"rstrip": false,
|
| 368 |
-
"single_word": false,
|
| 369 |
-
"special": false
|
| 370 |
-
},
|
| 371 |
-
"128046": {
|
| 372 |
-
"content": "<|reserved_special_token_41|>",
|
| 373 |
-
"lstrip": false,
|
| 374 |
-
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|
| 375 |
-
"rstrip": false,
|
| 376 |
-
"single_word": false,
|
| 377 |
-
"special": false
|
| 378 |
-
},
|
| 379 |
-
"128047": {
|
| 380 |
-
"content": "<|reserved_special_token_42|>",
|
| 381 |
-
"lstrip": false,
|
| 382 |
-
"normalized": false,
|
| 383 |
-
"rstrip": false,
|
| 384 |
-
"single_word": false,
|
| 385 |
-
"special": false
|
| 386 |
-
},
|
| 387 |
-
"128048": {
|
| 388 |
-
"content": "<|reserved_special_token_43|>",
|
| 389 |
-
"lstrip": false,
|
| 390 |
-
"normalized": false,
|
| 391 |
-
"rstrip": false,
|
| 392 |
-
"single_word": false,
|
| 393 |
-
"special": false
|
| 394 |
-
},
|
| 395 |
-
"128049": {
|
| 396 |
-
"content": "<|reserved_special_token_44|>",
|
| 397 |
-
"lstrip": false,
|
| 398 |
-
"normalized": false,
|
| 399 |
-
"rstrip": false,
|
| 400 |
-
"single_word": false,
|
| 401 |
-
"special": false
|
| 402 |
-
},
|
| 403 |
-
"128050": {
|
| 404 |
-
"content": "<|reserved_special_token_45|>",
|
| 405 |
-
"lstrip": false,
|
| 406 |
-
"normalized": false,
|
| 407 |
-
"rstrip": false,
|
| 408 |
-
"single_word": false,
|
| 409 |
-
"special": false
|
| 410 |
-
},
|
| 411 |
-
"128051": {
|
| 412 |
-
"content": "<|reserved_special_token_46|>",
|
| 413 |
-
"lstrip": false,
|
| 414 |
-
"normalized": false,
|
| 415 |
-
"rstrip": false,
|
| 416 |
-
"single_word": false,
|
| 417 |
-
"special": false
|
| 418 |
-
},
|
| 419 |
-
"128052": {
|
| 420 |
-
"content": "<|reserved_special_token_47|>",
|
| 421 |
-
"lstrip": false,
|
| 422 |
-
"normalized": false,
|
| 423 |
-
"rstrip": false,
|
| 424 |
-
"single_word": false,
|
| 425 |
-
"special": false
|
| 426 |
-
},
|
| 427 |
-
"128053": {
|
| 428 |
-
"content": "<|reserved_special_token_48|>",
|
| 429 |
-
"lstrip": false,
|
| 430 |
-
"normalized": false,
|
| 431 |
-
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|
| 432 |
-
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|
| 433 |
-
"special": false
|
| 434 |
-
},
|
| 435 |
-
"128054": {
|
| 436 |
-
"content": "<|reserved_special_token_49|>",
|
| 437 |
-
"lstrip": false,
|
| 438 |
-
"normalized": false,
|
| 439 |
-
"rstrip": false,
|
| 440 |
-
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|
| 441 |
-
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|
| 442 |
-
},
|
| 443 |
-
"128055": {
|
| 444 |
-
"content": "<|reserved_special_token_50|>",
|
| 445 |
-
"lstrip": false,
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| 1828 |
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| 1834 |
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|
| 1836 |
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| 1842 |
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|
| 1844 |
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| 1852 |
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|
| 1868 |
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| 1869 |
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|
| 1900 |
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|
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"content": "<|reserved_special_token_233|>",
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| 1914 |
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|
| 1916 |
-
"content": "<|reserved_special_token_234|>",
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-
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| 1924 |
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-
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-
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| 1930 |
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| 1933 |
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| 1940 |
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|
| 1945 |
-
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|
| 1946 |
-
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|
| 1948 |
-
"content": "<|reserved_special_token_238|>",
|
| 1949 |
-
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|
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-
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-
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|
| 1953 |
-
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|
| 1954 |
-
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|
| 1955 |
-
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|
| 1956 |
-
"content": "<|reserved_special_token_239|>",
|
| 1957 |
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|
| 1958 |
-
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|
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-
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|
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-
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|
| 1961 |
-
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|
| 1962 |
-
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| 1963 |
-
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|
| 1964 |
-
"content": "<|reserved_special_token_240|>",
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| 1965 |
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-
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|
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-
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| 1969 |
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| 1970 |
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|
| 1972 |
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"content": "<|reserved_special_token_241|>",
|
| 1973 |
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| 1977 |
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| 1980 |
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|
| 1981 |
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|
| 1982 |
-
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|
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-
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|
| 1984 |
-
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|
| 1985 |
-
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|
| 1986 |
-
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|
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-
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|
| 1988 |
-
"content": "<|reserved_special_token_243|>",
|
| 1989 |
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|
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-
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|
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-
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|
| 1992 |
-
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|
| 1993 |
-
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|
| 1994 |
-
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|
| 1995 |
-
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|
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|
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|
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-
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|
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|
| 2001 |
-
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|
| 2002 |
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|
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-
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|
| 2004 |
-
"content": "<|reserved_special_token_245|>",
|
| 2005 |
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|
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-
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|
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-
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|
| 2009 |
-
"special": false
|
| 2010 |
-
},
|
| 2011 |
-
"128251": {
|
| 2012 |
-
"content": "<|reserved_special_token_246|>",
|
| 2013 |
-
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|
| 2014 |
-
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|
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-
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|
| 2016 |
-
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|
| 2017 |
-
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|
| 2018 |
-
},
|
| 2019 |
-
"128252": {
|
| 2020 |
-
"content": "<|reserved_special_token_247|>",
|
| 2021 |
-
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|
| 2022 |
-
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|
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|
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|
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|
| 2026 |
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},
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| 2027 |
-
"128253": {
|
| 2028 |
-
"content": "<|reserved_special_token_248|>",
|
| 2029 |
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|
| 2030 |
-
"normalized": false,
|
| 2031 |
-
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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| 2035 |
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|
| 2036 |
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"content": "<|reserved_special_token_249|>",
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| 2037 |
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|
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|
| 2040 |
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|
| 2041 |
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| 2042 |
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| 2043 |
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"128255": {
|
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"content": "<|reserved_special_token_250|>",
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|
| 2049 |
-
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|
| 2050 |
-
}
|
| 2051 |
-
},
|
| 2052 |
-
"bos_token": "<|begin_of_text|>",
|
| 2053 |
-
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{ message['content'] }}{% elif message['role'] == 'user' %}{{ '\n\nHuman: ' + message['content'] + eos_token }}{% elif message['role'] == 'assistant' %}{{ '\n\nAssistant: ' + message['content'] + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '\n\nAssistant: ' }}{% endif %}",
|
| 2054 |
-
"clean_up_tokenization_spaces": true,
|
| 2055 |
-
"eos_token": "<|eot_id|>",
|
| 2056 |
-
"model_input_names": [
|
| 2057 |
-
"input_ids",
|
| 2058 |
-
"attention_mask"
|
| 2059 |
-
],
|
| 2060 |
-
"model_max_length": 1000000000000000019884624838656,
|
| 2061 |
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"pad_token": "<|eot_id|>",
|
| 2062 |
-
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2063 |
-
}
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