Instructions to use mousezhang/math-llada8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mousezhang/math-llada8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-8B-Instruct") model = PeftModel.from_pretrained(base_model, "mousezhang/math-llada8b") - Notebooks
- Google Colab
- Kaggle
Upload LoRA adapter
Browse files- README.md +202 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +32 -0
- tokenizer.json +0 -0
- tokenizer_config.json +2183 -0
- trainer_state.json +2013 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: GSAI-ML/LLaDA-8B-Instruct
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| 3 |
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library_name: peft
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| 4 |
+
---
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| 5 |
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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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| 9 |
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| 10 |
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+
## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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| 18 |
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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| 51 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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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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| 65 |
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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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| 71 |
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| 72 |
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Use the code below to get started with the model.
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| 73 |
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| 74 |
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[More Information Needed]
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## Training Details
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| 78 |
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### Training Data
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| 79 |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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| 142 |
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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 0.15.1
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adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "/testessfs10/users/zeyu.zhang/zk1/zkcopy/models/LLaDA-8B-Instruct",
|
| 5 |
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"bias": "none",
|
| 6 |
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"corda_config": null,
|
| 7 |
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"eva_config": null,
|
| 8 |
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"exclude_modules": null,
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
|
| 11 |
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"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
|
| 13 |
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"layers_pattern": null,
|
| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
|
| 16 |
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"lora_alpha": 128,
|
| 17 |
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"lora_bias": false,
|
| 18 |
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"lora_dropout": 0.05,
|
| 19 |
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"megatron_config": null,
|
| 20 |
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"megatron_core": "megatron.core",
|
| 21 |
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"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
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"r": 128,
|
| 24 |
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"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
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"target_modules": [
|
| 27 |
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"v_proj",
|
| 28 |
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"q_proj",
|
| 29 |
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"gate_proj",
|
| 30 |
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"up_proj",
|
| 31 |
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"down_proj",
|
| 32 |
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"k_proj",
|
| 33 |
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"o_proj"
|
| 34 |
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],
|
| 35 |
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"task_type": "CAUSAL_LM",
|
| 36 |
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"trainable_token_indices": null,
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| 37 |
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"use_dora": false,
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| 38 |
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"use_rslora": false
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| 39 |
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:d1891d00be71251993f2be502f38bffbc01037bd5fe31eda74e2046c6e8324bc
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| 3 |
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size 671124448
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special_tokens_map.json
ADDED
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{
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| 2 |
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"additional_special_tokens": [
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| 3 |
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"<role>",
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| 4 |
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"</role>",
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| 5 |
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"<|arithmetic_start|>",
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| 6 |
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"<|arithmetic_end|>",
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| 7 |
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"<|number_start|>",
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| 8 |
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"<|number_end|>"
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| 9 |
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],
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| 10 |
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"bos_token": {
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| 11 |
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"content": "<|startoftext|>",
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| 12 |
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"lstrip": false,
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"normalized": false,
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| 14 |
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"rstrip": false,
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| 15 |
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"single_word": false
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| 16 |
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},
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| 17 |
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"cls_token": {
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| 18 |
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"content": "[CLS]",
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| 19 |
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"lstrip": false,
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| 20 |
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"normalized": false,
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"rstrip": false,
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| 22 |
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"single_word": false
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},
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| 24 |
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"eos_token": {
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| 25 |
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"content": "<|endoftext|>",
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"lstrip": false,
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| 27 |
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"normalized": false,
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| 28 |
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"rstrip": false,
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| 29 |
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"single_word": false
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| 30 |
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},
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| 31 |
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"pad_token": "<|endoftext|>"
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| 32 |
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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"added_tokens_decoder": {
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 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 |
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|
| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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| 51 |
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| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 83 |
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| 84 |
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| 86 |
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| 87 |
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| 91 |
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| 92 |
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| 94 |
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| 95 |
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| 100 |
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| 102 |
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| 103 |
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| 104 |
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| 111 |
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| 118 |
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| 119 |
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| 123 |
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| 124 |
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| 126 |
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| 127 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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| 136 |
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| 137 |
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| 139 |
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| 140 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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| 147 |
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| 148 |
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 |
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| 155 |
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| 156 |
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| 158 |
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| 159 |
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| 160 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 168 |
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| 169 |
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| 171 |
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| 174 |
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| 175 |
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| 176 |
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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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| 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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| 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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| 236 |
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| 239 |
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| 246 |
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| 247 |
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| 255 |
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| 263 |
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| 1883 |
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| 1884 |
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| 1886 |
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| 1887 |
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| 1892 |
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| 1895 |
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| 1900 |
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| 1903 |
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| 1910 |
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| 1916 |
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| 1919 |
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| 1920 |
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| 1921 |
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| 1923 |
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| 1924 |
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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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| 1932 |
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| 1933 |
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| 1934 |
+
"content": "<|reserved_token_237|>",
|
| 1935 |
+
"lstrip": false,
|
| 1936 |
+
"normalized": false,
|
| 1937 |
+
"rstrip": false,
|
| 1938 |
+
"single_word": false,
|
| 1939 |
+
"special": true
|
| 1940 |
+
},
|
| 1941 |
+
"126322": {
|
| 1942 |
+
"content": "<|reserved_token_238|>",
|
| 1943 |
+
"lstrip": false,
|
| 1944 |
+
"normalized": false,
|
| 1945 |
+
"rstrip": false,
|
| 1946 |
+
"single_word": false,
|
| 1947 |
+
"special": true
|
| 1948 |
+
},
|
| 1949 |
+
"126323": {
|
| 1950 |
+
"content": "<|reserved_token_239|>",
|
| 1951 |
+
"lstrip": false,
|
| 1952 |
+
"normalized": false,
|
| 1953 |
+
"rstrip": false,
|
| 1954 |
+
"single_word": false,
|
| 1955 |
+
"special": true
|
| 1956 |
+
},
|
| 1957 |
+
"126324": {
|
| 1958 |
+
"content": "<|reserved_token_240|>",
|
| 1959 |
+
"lstrip": false,
|
| 1960 |
+
"normalized": false,
|
| 1961 |
+
"rstrip": false,
|
| 1962 |
+
"single_word": false,
|
| 1963 |
+
"special": true
|
| 1964 |
+
},
|
| 1965 |
+
"126325": {
|
| 1966 |
+
"content": "<|reserved_token_241|>",
|
| 1967 |
+
"lstrip": false,
|
| 1968 |
+
"normalized": false,
|
| 1969 |
+
"rstrip": false,
|
| 1970 |
+
"single_word": false,
|
| 1971 |
+
"special": true
|
| 1972 |
+
},
|
| 1973 |
+
"126326": {
|
| 1974 |
+
"content": "<|reserved_token_242|>",
|
| 1975 |
+
"lstrip": false,
|
| 1976 |
+
"normalized": false,
|
| 1977 |
+
"rstrip": false,
|
| 1978 |
+
"single_word": false,
|
| 1979 |
+
"special": true
|
| 1980 |
+
},
|
| 1981 |
+
"126327": {
|
| 1982 |
+
"content": "<|reserved_token_243|>",
|
| 1983 |
+
"lstrip": false,
|
| 1984 |
+
"normalized": false,
|
| 1985 |
+
"rstrip": false,
|
| 1986 |
+
"single_word": false,
|
| 1987 |
+
"special": true
|
| 1988 |
+
},
|
| 1989 |
+
"126328": {
|
| 1990 |
+
"content": "<|reserved_token_244|>",
|
| 1991 |
+
"lstrip": false,
|
| 1992 |
+
"normalized": false,
|
| 1993 |
+
"rstrip": false,
|
| 1994 |
+
"single_word": false,
|
| 1995 |
+
"special": true
|
| 1996 |
+
},
|
| 1997 |
+
"126329": {
|
| 1998 |
+
"content": "<|reserved_token_245|>",
|
| 1999 |
+
"lstrip": false,
|
| 2000 |
+
"normalized": false,
|
| 2001 |
+
"rstrip": false,
|
| 2002 |
+
"single_word": false,
|
| 2003 |
+
"special": true
|
| 2004 |
+
},
|
| 2005 |
+
"126330": {
|
| 2006 |
+
"content": "<|reserved_token_246|>",
|
| 2007 |
+
"lstrip": false,
|
| 2008 |
+
"normalized": false,
|
| 2009 |
+
"rstrip": false,
|
| 2010 |
+
"single_word": false,
|
| 2011 |
+
"special": true
|
| 2012 |
+
},
|
| 2013 |
+
"126331": {
|
| 2014 |
+
"content": "<|reserved_token_247|>",
|
| 2015 |
+
"lstrip": false,
|
| 2016 |
+
"normalized": false,
|
| 2017 |
+
"rstrip": false,
|
| 2018 |
+
"single_word": false,
|
| 2019 |
+
"special": true
|
| 2020 |
+
},
|
| 2021 |
+
"126332": {
|
| 2022 |
+
"content": "<|reserved_token_248|>",
|
| 2023 |
+
"lstrip": false,
|
| 2024 |
+
"normalized": false,
|
| 2025 |
+
"rstrip": false,
|
| 2026 |
+
"single_word": false,
|
| 2027 |
+
"special": true
|
| 2028 |
+
},
|
| 2029 |
+
"126333": {
|
| 2030 |
+
"content": "<|reserved_token_249|>",
|
| 2031 |
+
"lstrip": false,
|
| 2032 |
+
"normalized": false,
|
| 2033 |
+
"rstrip": false,
|
| 2034 |
+
"single_word": false,
|
| 2035 |
+
"special": true
|
| 2036 |
+
},
|
| 2037 |
+
"126334": {
|
| 2038 |
+
"content": "<|reserved_token_250|>",
|
| 2039 |
+
"lstrip": false,
|
| 2040 |
+
"normalized": false,
|
| 2041 |
+
"rstrip": false,
|
| 2042 |
+
"single_word": false,
|
| 2043 |
+
"special": true
|
| 2044 |
+
},
|
| 2045 |
+
"126335": {
|
| 2046 |
+
"content": "<|reserved_token_251|>",
|
| 2047 |
+
"lstrip": false,
|
| 2048 |
+
"normalized": false,
|
| 2049 |
+
"rstrip": false,
|
| 2050 |
+
"single_word": false,
|
| 2051 |
+
"special": true
|
| 2052 |
+
},
|
| 2053 |
+
"126336": {
|
| 2054 |
+
"content": "<|mdm_mask|>",
|
| 2055 |
+
"lstrip": false,
|
| 2056 |
+
"normalized": false,
|
| 2057 |
+
"rstrip": false,
|
| 2058 |
+
"single_word": false,
|
| 2059 |
+
"special": true
|
| 2060 |
+
},
|
| 2061 |
+
"126337": {
|
| 2062 |
+
"content": "<|reserved_token_253|>",
|
| 2063 |
+
"lstrip": false,
|
| 2064 |
+
"normalized": false,
|
| 2065 |
+
"rstrip": false,
|
| 2066 |
+
"single_word": false,
|
| 2067 |
+
"special": true
|
| 2068 |
+
},
|
| 2069 |
+
"126338": {
|
| 2070 |
+
"content": "<|reserved_token_254|>",
|
| 2071 |
+
"lstrip": false,
|
| 2072 |
+
"normalized": false,
|
| 2073 |
+
"rstrip": false,
|
| 2074 |
+
"single_word": false,
|
| 2075 |
+
"special": true
|
| 2076 |
+
},
|
| 2077 |
+
"126339": {
|
| 2078 |
+
"content": "<|reserved_token_255|>",
|
| 2079 |
+
"lstrip": false,
|
| 2080 |
+
"normalized": false,
|
| 2081 |
+
"rstrip": false,
|
| 2082 |
+
"single_word": false,
|
| 2083 |
+
"special": true
|
| 2084 |
+
},
|
| 2085 |
+
"126340": {
|
| 2086 |
+
"content": "<role>",
|
| 2087 |
+
"lstrip": false,
|
| 2088 |
+
"normalized": false,
|
| 2089 |
+
"rstrip": false,
|
| 2090 |
+
"single_word": false,
|
| 2091 |
+
"special": true
|
| 2092 |
+
},
|
| 2093 |
+
"126341": {
|
| 2094 |
+
"content": "</role>",
|
| 2095 |
+
"lstrip": false,
|
| 2096 |
+
"normalized": false,
|
| 2097 |
+
"rstrip": false,
|
| 2098 |
+
"single_word": false,
|
| 2099 |
+
"special": true
|
| 2100 |
+
},
|
| 2101 |
+
"126342": {
|
| 2102 |
+
"content": "<|arithmetic_start|>",
|
| 2103 |
+
"lstrip": false,
|
| 2104 |
+
"normalized": false,
|
| 2105 |
+
"rstrip": false,
|
| 2106 |
+
"single_word": false,
|
| 2107 |
+
"special": true
|
| 2108 |
+
},
|
| 2109 |
+
"126343": {
|
| 2110 |
+
"content": "<|arithmetic_end|>",
|
| 2111 |
+
"lstrip": false,
|
| 2112 |
+
"normalized": false,
|
| 2113 |
+
"rstrip": false,
|
| 2114 |
+
"single_word": false,
|
| 2115 |
+
"special": true
|
| 2116 |
+
},
|
| 2117 |
+
"126344": {
|
| 2118 |
+
"content": "<|number_start|>",
|
| 2119 |
+
"lstrip": false,
|
| 2120 |
+
"normalized": false,
|
| 2121 |
+
"rstrip": false,
|
| 2122 |
+
"single_word": false,
|
| 2123 |
+
"special": true
|
| 2124 |
+
},
|
| 2125 |
+
"126345": {
|
| 2126 |
+
"content": "<|number_end|>",
|
| 2127 |
+
"lstrip": false,
|
| 2128 |
+
"normalized": false,
|
| 2129 |
+
"rstrip": false,
|
| 2130 |
+
"single_word": false,
|
| 2131 |
+
"special": true
|
| 2132 |
+
},
|
| 2133 |
+
"126346": {
|
| 2134 |
+
"content": "<|start_header_id|>",
|
| 2135 |
+
"lstrip": false,
|
| 2136 |
+
"normalized": false,
|
| 2137 |
+
"rstrip": false,
|
| 2138 |
+
"single_word": false,
|
| 2139 |
+
"special": true
|
| 2140 |
+
},
|
| 2141 |
+
"126347": {
|
| 2142 |
+
"content": "<|end_header_id|>",
|
| 2143 |
+
"lstrip": false,
|
| 2144 |
+
"normalized": false,
|
| 2145 |
+
"rstrip": false,
|
| 2146 |
+
"single_word": false,
|
| 2147 |
+
"special": true
|
| 2148 |
+
},
|
| 2149 |
+
"126348": {
|
| 2150 |
+
"content": "<|eot_id|>",
|
| 2151 |
+
"lstrip": false,
|
| 2152 |
+
"normalized": false,
|
| 2153 |
+
"rstrip": false,
|
| 2154 |
+
"single_word": false,
|
| 2155 |
+
"special": true
|
| 2156 |
+
}
|
| 2157 |
+
},
|
| 2158 |
+
"additional_special_tokens": [
|
| 2159 |
+
"<role>",
|
| 2160 |
+
"</role>",
|
| 2161 |
+
"<|arithmetic_start|>",
|
| 2162 |
+
"<|arithmetic_end|>",
|
| 2163 |
+
"<|number_start|>",
|
| 2164 |
+
"<|number_end|>"
|
| 2165 |
+
],
|
| 2166 |
+
"bos_token": "<|startoftext|>",
|
| 2167 |
+
"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
|
| 2168 |
+
"clean_up_tokenization_spaces": false,
|
| 2169 |
+
"cls_token": "[CLS]",
|
| 2170 |
+
"eos_token": "<|endoftext|>",
|
| 2171 |
+
"extra_special_tokens": {},
|
| 2172 |
+
"fast_tokenizer": true,
|
| 2173 |
+
"gmask_token": "[gMASK]",
|
| 2174 |
+
"merges_file": null,
|
| 2175 |
+
"model_input_names": [
|
| 2176 |
+
"input_ids",
|
| 2177 |
+
"attention_mask"
|
| 2178 |
+
],
|
| 2179 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 2180 |
+
"pad_token": "<|endoftext|>",
|
| 2181 |
+
"tokenizer_class": "PreTrainedTokenizer",
|
| 2182 |
+
"trust_remote_code": true
|
| 2183 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2013 @@
|
|
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|
| 1 |
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{
|
| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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{
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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| 37 |
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| 38 |
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"step": 10,
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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{
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| 45 |
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| 46 |
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| 48 |
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| 49 |
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| 50 |
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| 53 |
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| 54 |
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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