Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +209 -0
- adapter_config.json +46 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +109 -0
- loss.txt +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +2066 -0
- trainer_state.json +1222 -0
- training_args.bin +3 -0
.gitattributes
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
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---
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| 2 |
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base_model: unsloth--Meta-Llama-3.1-8B-Instruct
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:unsloth--Meta-Llama-3.1-8B-Instruct
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| 7 |
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- lora
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- sft
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| 9 |
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- transformers
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- trl
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| 11 |
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---
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| 12 |
+
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| 13 |
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# Model Card for Model ID
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| 14 |
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+
<!-- Provide a quick summary of what the model is/does. -->
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| 17 |
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## Model Details
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| 20 |
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### Model Description
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| 22 |
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+
<!-- Provide a longer summary of what this model is. -->
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| 24 |
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| 25 |
+
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- **Developed by:** [More Information Needed]
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| 28 |
+
- **Funded by [optional]:** [More Information Needed]
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| 29 |
+
- **Shared by [optional]:** [More Information Needed]
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| 30 |
+
- **Model type:** [More Information Needed]
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| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 34 |
+
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| 35 |
+
### Model Sources [optional]
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| 36 |
+
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| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
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| 40 |
+
- **Paper [optional]:** [More Information Needed]
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| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
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| 43 |
+
## Uses
|
| 44 |
+
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| 45 |
+
<!-- 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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| 46 |
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| 47 |
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### Direct Use
|
| 48 |
+
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| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
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### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
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| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
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### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
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| 63 |
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[More Information Needed]
|
| 64 |
+
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| 65 |
+
## Bias, Risks, and Limitations
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| 66 |
+
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| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 68 |
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[More Information Needed]
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| 70 |
+
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| 71 |
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### Recommendations
|
| 72 |
+
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| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 74 |
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| 75 |
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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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| 76 |
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## How to Get Started with the Model
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| 78 |
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| 79 |
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Use the code below to get started with the model.
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| 80 |
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| 81 |
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[More Information Needed]
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| 82 |
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| 83 |
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## Training Details
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| 84 |
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| 85 |
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### Training Data
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| 86 |
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| 87 |
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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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| 88 |
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[More Information Needed]
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| 90 |
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### Training Procedure
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| 92 |
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| 93 |
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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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| 94 |
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#### Preprocessing [optional]
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| 96 |
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| 97 |
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[More Information Needed]
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| 98 |
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| 99 |
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| 100 |
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#### Training Hyperparameters
|
| 101 |
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|
| 102 |
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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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| 103 |
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| 104 |
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#### Speeds, Sizes, Times [optional]
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| 105 |
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| 106 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 107 |
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| 108 |
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[More Information Needed]
|
| 109 |
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| 110 |
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## Evaluation
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| 111 |
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| 112 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 113 |
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| 114 |
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### Testing Data, Factors & Metrics
|
| 115 |
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| 116 |
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#### Testing Data
|
| 117 |
+
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| 118 |
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<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
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| 120 |
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[More Information Needed]
|
| 121 |
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|
| 122 |
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#### Factors
|
| 123 |
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|
| 124 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
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|
| 126 |
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[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
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| 132 |
+
[More Information Needed]
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| 133 |
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|
| 134 |
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### Results
|
| 135 |
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| 136 |
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[More Information Needed]
|
| 137 |
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|
| 138 |
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#### Summary
|
| 139 |
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| 140 |
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| 141 |
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| 142 |
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## Model Examination [optional]
|
| 143 |
+
|
| 144 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
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|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
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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 -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
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- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
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- **Compute Region:** [More Information Needed]
|
| 158 |
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- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
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## Technical Specifications [optional]
|
| 161 |
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| 162 |
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### Model Architecture and Objective
|
| 163 |
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| 164 |
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[More Information Needed]
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| 165 |
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| 166 |
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### Compute Infrastructure
|
| 167 |
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| 168 |
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[More Information Needed]
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| 169 |
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| 170 |
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#### Hardware
|
| 171 |
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| 172 |
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[More Information Needed]
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| 173 |
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| 174 |
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#### Software
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| 175 |
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| 176 |
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[More Information Needed]
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| 177 |
+
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| 178 |
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## Citation [optional]
|
| 179 |
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| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
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|
| 184 |
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[More Information Needed]
|
| 185 |
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| 186 |
+
**APA:**
|
| 187 |
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|
| 188 |
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[More Information Needed]
|
| 189 |
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|
| 190 |
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## Glossary [optional]
|
| 191 |
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|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
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| 194 |
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[More Information Needed]
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| 195 |
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| 196 |
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## More Information [optional]
|
| 197 |
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| 198 |
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[More Information Needed]
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| 199 |
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| 200 |
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## Model Card Authors [optional]
|
| 201 |
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| 202 |
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[More Information Needed]
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| 203 |
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| 204 |
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## Model Card Contact
|
| 205 |
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| 206 |
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[More Information Needed]
|
| 207 |
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### Framework versions
|
| 208 |
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|
| 209 |
+
- PEFT 0.18.1
|
adapter_config.json
ADDED
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{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
|
| 5 |
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"auto_mapping": null,
|
| 6 |
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"base_model_name_or_path": "/cache/models/unsloth--Meta-Llama-3.1-8B-Instruct",
|
| 7 |
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"bias": "none",
|
| 8 |
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"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
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"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
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"layers_pattern": null,
|
| 17 |
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"layers_to_transform": null,
|
| 18 |
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"loftq_config": {},
|
| 19 |
+
"lora_alpha": 512,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 128,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
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"v_proj",
|
| 33 |
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"q_proj",
|
| 34 |
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"k_proj",
|
| 35 |
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"o_proj",
|
| 36 |
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"up_proj",
|
| 37 |
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"gate_proj",
|
| 38 |
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"down_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8c6402ada4fdb5158b8af3f84778c242f4c840968a87787fe3570047dc67fa0
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| 3 |
+
size 1342238560
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chat_template.jinja
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token }}
|
| 2 |
+
{%- if custom_tools is defined %}
|
| 3 |
+
{%- set tools = custom_tools %}
|
| 4 |
+
{%- endif %}
|
| 5 |
+
{%- if not tools_in_user_message is defined %}
|
| 6 |
+
{%- set tools_in_user_message = true %}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{%- if not date_string is defined %}
|
| 9 |
+
{%- set date_string = "26 Jul 2024" %}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- if not tools is defined %}
|
| 12 |
+
{%- set tools = none %}
|
| 13 |
+
{%- endif %}
|
| 14 |
+
|
| 15 |
+
{#- This block extracts the system message, so we can slot it into the right place. #}
|
| 16 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 17 |
+
{%- set system_message = messages[0]['content']|trim %}
|
| 18 |
+
{%- set messages = messages[1:] %}
|
| 19 |
+
{%- else %}
|
| 20 |
+
{%- set system_message = "" %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
|
| 23 |
+
{#- System message + builtin tools #}
|
| 24 |
+
{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
|
| 25 |
+
{%- if builtin_tools is defined or tools is not none %}
|
| 26 |
+
{{- "Environment: ipython\n" }}
|
| 27 |
+
{%- endif %}
|
| 28 |
+
{%- if builtin_tools is defined %}
|
| 29 |
+
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{{- "Cutting Knowledge Date: December 2023\n" }}
|
| 32 |
+
{{- "Today Date: " + date_string + "\n\n" }}
|
| 33 |
+
{%- if tools is not none and not tools_in_user_message %}
|
| 34 |
+
{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
|
| 35 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 36 |
+
{{- "Do not use variables.\n\n" }}
|
| 37 |
+
{%- for t in tools %}
|
| 38 |
+
{{- t | tojson(indent=4) }}
|
| 39 |
+
{{- "\n\n" }}
|
| 40 |
+
{%- endfor %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{{- system_message }}
|
| 43 |
+
{{- "<|eot_id|>" }}
|
| 44 |
+
|
| 45 |
+
{#- Custom tools are passed in a user message with some extra guidance #}
|
| 46 |
+
{%- if tools_in_user_message and not tools is none %}
|
| 47 |
+
{#- Extract the first user message so we can plug it in here #}
|
| 48 |
+
{%- if messages | length != 0 %}
|
| 49 |
+
{%- set first_user_message = messages[0]['content']|trim %}
|
| 50 |
+
{%- set messages = messages[1:] %}
|
| 51 |
+
{%- else %}
|
| 52 |
+
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
| 53 |
+
{%- endif %}
|
| 54 |
+
{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
|
| 55 |
+
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
| 56 |
+
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
| 57 |
+
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
| 58 |
+
{{- "Do not use variables.\n\n" }}
|
| 59 |
+
{%- for t in tools %}
|
| 60 |
+
{{- t | tojson(indent=4) }}
|
| 61 |
+
{{- "\n\n" }}
|
| 62 |
+
{%- endfor %}
|
| 63 |
+
{{- first_user_message + "<|eot_id|>"}}
|
| 64 |
+
{%- endif %}
|
| 65 |
+
|
| 66 |
+
{%- for message in messages %}
|
| 67 |
+
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
| 68 |
+
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
|
| 69 |
+
{%- elif 'tool_calls' in message %}
|
| 70 |
+
{%- if not message.tool_calls|length == 1 %}
|
| 71 |
+
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
| 72 |
+
{%- endif %}
|
| 73 |
+
{%- set tool_call = message.tool_calls[0].function %}
|
| 74 |
+
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
| 75 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 76 |
+
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
| 77 |
+
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
| 78 |
+
{{- arg_name + '="' + arg_val + '"' }}
|
| 79 |
+
{%- if not loop.last %}
|
| 80 |
+
{{- ", " }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endfor %}
|
| 83 |
+
{{- ")" }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
| 86 |
+
{{- '{"name": "' + tool_call.name + '", ' }}
|
| 87 |
+
{{- '"parameters": ' }}
|
| 88 |
+
{{- tool_call.arguments | tojson }}
|
| 89 |
+
{{- "}" }}
|
| 90 |
+
{%- endif %}
|
| 91 |
+
{%- if builtin_tools is defined %}
|
| 92 |
+
{#- This means we're in ipython mode #}
|
| 93 |
+
{{- "<|eom_id|>" }}
|
| 94 |
+
{%- else %}
|
| 95 |
+
{{- "<|eot_id|>" }}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- elif message.role == "tool" or message.role == "ipython" %}
|
| 98 |
+
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
| 99 |
+
{%- if message.content is mapping or message.content is iterable %}
|
| 100 |
+
{{- message.content | tojson }}
|
| 101 |
+
{%- else %}
|
| 102 |
+
{{- message.content }}
|
| 103 |
+
{%- endif %}
|
| 104 |
+
{{- "<|eot_id|>" }}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- endfor %}
|
| 107 |
+
{%- if add_generation_prompt %}
|
| 108 |
+
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
|
| 109 |
+
{%- endif %}
|
loss.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
661,no_eval
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin_of_text|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|eot_id|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|finetune_right_pad_id|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,2066 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
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|
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|
|
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|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": 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 |
+
"128003": {
|
| 29 |
+
"content": "<|reserved_special_token_1|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"128004": {
|
| 37 |
+
"content": "<|finetune_right_pad_id|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"128005": {
|
| 45 |
+
"content": "<|reserved_special_token_2|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"128006": {
|
| 53 |
+
"content": "<|start_header_id|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"128007": {
|
| 61 |
+
"content": "<|end_header_id|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"128008": {
|
| 69 |
+
"content": "<|eom_id|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"128009": {
|
| 77 |
+
"content": "<|eot_id|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"128010": {
|
| 85 |
+
"content": "<|python_tag|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"128011": {
|
| 93 |
+
"content": "<|reserved_special_token_3|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
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| 99 |
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| 101 |
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|
| 1748 |
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|
| 1749 |
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|
| 1750 |
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|
| 1751 |
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|
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|
| 1753 |
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|
| 1754 |
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|
| 1755 |
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|
| 1756 |
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|
| 1757 |
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|
| 1758 |
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|
| 1759 |
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|
| 1760 |
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|
| 1761 |
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|
| 1762 |
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|
| 1763 |
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|
| 1764 |
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|
| 1765 |
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|
| 1766 |
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|
| 1767 |
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|
| 1768 |
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|
| 1769 |
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|
| 1770 |
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|
| 1771 |
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|
| 1772 |
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|
| 1773 |
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|
| 1774 |
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|
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|
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|
| 1777 |
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|
| 1778 |
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|
| 1779 |
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|
| 1780 |
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|
| 1781 |
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|
| 1782 |
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|
| 1783 |
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|
| 1784 |
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|
| 1785 |
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|
| 1786 |
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|
| 1787 |
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|
| 1788 |
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|
| 1789 |
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|
| 1790 |
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|
| 1791 |
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|
| 1792 |
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|
| 1793 |
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|
| 1794 |
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|
| 1795 |
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|
| 1796 |
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|
| 1797 |
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|
| 1798 |
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|
| 1799 |
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|
| 1800 |
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|
| 1801 |
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|
| 1802 |
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|
| 1803 |
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|
| 1804 |
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|
| 1805 |
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|
| 1806 |
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|
| 1807 |
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|
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|
| 1809 |
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|
| 1810 |
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|
| 1811 |
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|
| 1812 |
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|
| 1813 |
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|
| 1814 |
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|
| 1815 |
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|
| 1816 |
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|
| 1817 |
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|
| 1818 |
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|
| 1819 |
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|
| 1820 |
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|
| 1821 |
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|
| 1822 |
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|
| 1823 |
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|
| 1824 |
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|
| 1825 |
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|
| 1826 |
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|
| 1827 |
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|
| 1828 |
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|
| 1829 |
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|
| 1830 |
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|
| 1831 |
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|
| 1832 |
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|
| 1833 |
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|
| 1834 |
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|
| 1835 |
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|
| 1836 |
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|
| 1837 |
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|
| 1838 |
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|
| 1839 |
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|
| 1840 |
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|
| 1841 |
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|
| 1842 |
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|
| 1843 |
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|
| 1844 |
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|
| 1845 |
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|
| 1846 |
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|
| 1847 |
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|
| 1848 |
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|
| 1849 |
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|
| 1850 |
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|
| 1851 |
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|
| 1852 |
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|
| 1853 |
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|
| 1854 |
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|
| 1855 |
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|
| 1856 |
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|
| 1857 |
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|
| 1858 |
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|
| 1859 |
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|
| 1860 |
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|
| 1861 |
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|
| 1862 |
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|
| 1863 |
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|
| 1864 |
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|
| 1865 |
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|
| 1866 |
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|
| 1867 |
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|
| 1868 |
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|
| 1869 |
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|
| 1870 |
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|
| 1871 |
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|
| 1872 |
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|
| 1873 |
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|
| 1874 |
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|
| 1875 |
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|
| 1876 |
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|
| 1877 |
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|
| 1878 |
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|
| 1879 |
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|
| 1880 |
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|
| 1881 |
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|
| 1882 |
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|
| 1883 |
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|
| 1884 |
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|
| 1885 |
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"content": "<|reserved_special_token_227|>",
|
| 1886 |
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|
| 1887 |
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|
| 1888 |
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|
| 1889 |
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|
| 1890 |
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|
| 1891 |
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|
| 1892 |
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"128236": {
|
| 1893 |
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"content": "<|reserved_special_token_228|>",
|
| 1894 |
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|
| 1895 |
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|
| 1896 |
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|
| 1897 |
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|
| 1898 |
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|
| 1899 |
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|
| 1900 |
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"128237": {
|
| 1901 |
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"content": "<|reserved_special_token_229|>",
|
| 1902 |
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|
| 1903 |
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|
| 1904 |
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|
| 1905 |
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|
| 1906 |
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|
| 1907 |
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|
| 1908 |
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"128238": {
|
| 1909 |
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"content": "<|reserved_special_token_230|>",
|
| 1910 |
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|
| 1911 |
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|
| 1912 |
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|
| 1913 |
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|
| 1914 |
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|
| 1915 |
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|
| 1916 |
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"128239": {
|
| 1917 |
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"content": "<|reserved_special_token_231|>",
|
| 1918 |
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|
| 1919 |
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|
| 1920 |
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|
| 1921 |
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|
| 1922 |
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|
| 1923 |
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|
| 1924 |
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"128240": {
|
| 1925 |
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|
| 1926 |
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|
| 1927 |
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|
| 1928 |
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|
| 1929 |
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|
| 1930 |
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|
| 1931 |
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|
| 1932 |
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|
| 1933 |
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|
| 1934 |
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|
| 1935 |
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|
| 1936 |
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|
| 1937 |
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|
| 1938 |
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|
| 1939 |
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|
| 1940 |
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|
| 1941 |
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|
| 1942 |
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|
| 1943 |
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|
| 1944 |
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|
| 1945 |
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|
| 1946 |
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|
| 1947 |
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|
| 1948 |
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"128243": {
|
| 1949 |
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"content": "<|reserved_special_token_235|>",
|
| 1950 |
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|
| 1951 |
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|
| 1952 |
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|
| 1953 |
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|
| 1954 |
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|
| 1955 |
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|
| 1956 |
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|
| 1957 |
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|
| 1958 |
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|
| 1959 |
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|
| 1960 |
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|
| 1961 |
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|
| 1962 |
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|
| 1963 |
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|
| 1964 |
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"128245": {
|
| 1965 |
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"content": "<|reserved_special_token_237|>",
|
| 1966 |
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|
| 1967 |
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|
| 1968 |
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|
| 1969 |
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|
| 1970 |
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|
| 1971 |
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},
|
| 1972 |
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"128246": {
|
| 1973 |
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"content": "<|reserved_special_token_238|>",
|
| 1974 |
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|
| 1975 |
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|
| 1976 |
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|
| 1977 |
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|
| 1978 |
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|
| 1979 |
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|
| 1980 |
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"128247": {
|
| 1981 |
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"content": "<|reserved_special_token_239|>",
|
| 1982 |
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|
| 1983 |
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|
| 1984 |
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|
| 1985 |
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|
| 1986 |
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"special": true
|
| 1987 |
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},
|
| 1988 |
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"128248": {
|
| 1989 |
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"content": "<|reserved_special_token_240|>",
|
| 1990 |
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|
| 1991 |
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|
| 1992 |
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|
| 1993 |
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|
| 1994 |
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"special": true
|
| 1995 |
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},
|
| 1996 |
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"128249": {
|
| 1997 |
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"content": "<|reserved_special_token_241|>",
|
| 1998 |
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|
| 1999 |
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|
| 2000 |
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|
| 2001 |
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|
| 2002 |
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|
| 2003 |
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},
|
| 2004 |
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"128250": {
|
| 2005 |
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"content": "<|reserved_special_token_242|>",
|
| 2006 |
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|
| 2007 |
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|
| 2008 |
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|
| 2009 |
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"single_word": false,
|
| 2010 |
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"special": true
|
| 2011 |
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},
|
| 2012 |
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"128251": {
|
| 2013 |
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"content": "<|reserved_special_token_243|>",
|
| 2014 |
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|
| 2015 |
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|
| 2016 |
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|
| 2017 |
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"single_word": false,
|
| 2018 |
+
"special": true
|
| 2019 |
+
},
|
| 2020 |
+
"128252": {
|
| 2021 |
+
"content": "<|reserved_special_token_244|>",
|
| 2022 |
+
"lstrip": false,
|
| 2023 |
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|
| 2024 |
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|
| 2025 |
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|
| 2026 |
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|
| 2027 |
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},
|
| 2028 |
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"128253": {
|
| 2029 |
+
"content": "<|reserved_special_token_245|>",
|
| 2030 |
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"lstrip": false,
|
| 2031 |
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|
| 2032 |
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|
| 2033 |
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|
| 2034 |
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"special": true
|
| 2035 |
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},
|
| 2036 |
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"128254": {
|
| 2037 |
+
"content": "<|reserved_special_token_246|>",
|
| 2038 |
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|
| 2039 |
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|
| 2040 |
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|
| 2041 |
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|
| 2042 |
+
"special": true
|
| 2043 |
+
},
|
| 2044 |
+
"128255": {
|
| 2045 |
+
"content": "<|reserved_special_token_247|>",
|
| 2046 |
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"lstrip": false,
|
| 2047 |
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|
| 2048 |
+
"rstrip": false,
|
| 2049 |
+
"single_word": false,
|
| 2050 |
+
"special": true
|
| 2051 |
+
}
|
| 2052 |
+
},
|
| 2053 |
+
"bos_token": "<|begin_of_text|>",
|
| 2054 |
+
"clean_up_tokenization_spaces": true,
|
| 2055 |
+
"eos_token": "<|eot_id|>",
|
| 2056 |
+
"extra_special_tokens": {},
|
| 2057 |
+
"model_input_names": [
|
| 2058 |
+
"input_ids",
|
| 2059 |
+
"attention_mask"
|
| 2060 |
+
],
|
| 2061 |
+
"model_max_length": 131072,
|
| 2062 |
+
"pad_token": "<|finetune_right_pad_id|>",
|
| 2063 |
+
"padding_side": "right",
|
| 2064 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 2065 |
+
"unk_token": null
|
| 2066 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1222 @@
|
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|
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|
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|
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|
|
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|
|
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|
|
|
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|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
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|
|
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|
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|
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|
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|
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|
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|
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