Datasets:
Delete llama_Vietnamese_German
Browse files- llama_Vietnamese_German/checkpoint-200/README.md +0 -202
- llama_Vietnamese_German/checkpoint-200/adapter_config.json +0 -37
- llama_Vietnamese_German/checkpoint-200/adapter_model.safetensors +0 -3
- llama_Vietnamese_German/checkpoint-200/optimizer.pt +0 -3
- llama_Vietnamese_German/checkpoint-200/rng_state.pth +0 -3
- llama_Vietnamese_German/checkpoint-200/scheduler.pt +0 -3
- llama_Vietnamese_German/checkpoint-200/special_tokens_map.json +0 -23
- llama_Vietnamese_German/checkpoint-200/tokenizer.json +0 -3
- llama_Vietnamese_German/checkpoint-200/tokenizer_config.json +0 -2064
- llama_Vietnamese_German/checkpoint-200/trainer_state.json +0 -1433
- llama_Vietnamese_German/checkpoint-200/training_args.bin +0 -3
llama_Vietnamese_German/checkpoint-200/README.md
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---
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base_model: unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.14.0
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llama_Vietnamese_German/checkpoint-200/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:43c01213d7cc8e9f901ee10e6757196bc1d455cd792c3459d8a4bc6a0243d78f
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce75e38a3c3c6c03cbffaa9287d1976ecfaf327d393385983adf21437517fe8e
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size 85723284
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version https://git-lfs.github.com/spec/v1
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oid sha256:d4c917636c7a58af68a29056522a757e9f9b99005b776641aa157c536967817d
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size 14244
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
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size 1064
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{
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"content": "<|eot_id|>",
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"content": "<|finetune_right_pad_id|>",
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llama_Vietnamese_German/checkpoint-200/tokenizer.json
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
-
size 17209920
|
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|
llama_Vietnamese_German/checkpoint-200/tokenizer_config.json
DELETED
|
@@ -1,2064 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"added_tokens_decoder": {
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| 3 |
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| 25 |
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|
| 26 |
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| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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| 82 |
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| 809 |
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| 810 |
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| 817 |
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| 818 |
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| 825 |
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|
| 1640 |
-
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|
| 1641 |
-
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|
| 1642 |
-
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|
| 1643 |
-
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|
| 1644 |
-
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|
| 1645 |
-
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|
| 1646 |
-
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|
| 1647 |
-
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|
| 1648 |
-
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|
| 1649 |
-
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|
| 1650 |
-
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|
| 1651 |
-
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|
| 1652 |
-
"content": "<|reserved_special_token_198|>",
|
| 1653 |
-
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|
| 1654 |
-
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|
| 1655 |
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|
| 1656 |
-
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|
| 1657 |
-
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|
| 1658 |
-
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|
| 1659 |
-
"128207": {
|
| 1660 |
-
"content": "<|reserved_special_token_199|>",
|
| 1661 |
-
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|
| 1662 |
-
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|
| 1663 |
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|
| 1664 |
-
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|
| 1665 |
-
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|
| 1666 |
-
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|
| 1667 |
-
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|
| 1668 |
-
"content": "<|reserved_special_token_200|>",
|
| 1669 |
-
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|
| 1670 |
-
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|
| 1671 |
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|
| 1672 |
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|
| 1673 |
-
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|
| 1674 |
-
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|
| 1675 |
-
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|
| 1676 |
-
"content": "<|reserved_special_token_201|>",
|
| 1677 |
-
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|
| 1678 |
-
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|
| 1679 |
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|
| 1680 |
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|
| 1681 |
-
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|
| 1682 |
-
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|
| 1683 |
-
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|
| 1684 |
-
"content": "<|reserved_special_token_202|>",
|
| 1685 |
-
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|
| 1686 |
-
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|
| 1687 |
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|
| 1688 |
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|
| 1689 |
-
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|
| 1690 |
-
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|
| 1691 |
-
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|
| 1692 |
-
"content": "<|reserved_special_token_203|>",
|
| 1693 |
-
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|
| 1694 |
-
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|
| 1695 |
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|
| 1696 |
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|
| 1697 |
-
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|
| 1698 |
-
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|
| 1699 |
-
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|
| 1700 |
-
"content": "<|reserved_special_token_204|>",
|
| 1701 |
-
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|
| 1702 |
-
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|
| 1703 |
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|
| 1704 |
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|
| 1705 |
-
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|
| 1706 |
-
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|
| 1707 |
-
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|
| 1708 |
-
"content": "<|reserved_special_token_205|>",
|
| 1709 |
-
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|
| 1710 |
-
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|
| 1711 |
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|
| 1712 |
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|
| 1713 |
-
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|
| 1714 |
-
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|
| 1715 |
-
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|
| 1716 |
-
"content": "<|reserved_special_token_206|>",
|
| 1717 |
-
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|
| 1718 |
-
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|
| 1719 |
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|
| 1720 |
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|
| 1721 |
-
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|
| 1722 |
-
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|
| 1723 |
-
"128215": {
|
| 1724 |
-
"content": "<|reserved_special_token_207|>",
|
| 1725 |
-
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|
| 1726 |
-
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|
| 1727 |
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|
| 1728 |
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|
| 1729 |
-
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|
| 1730 |
-
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|
| 1731 |
-
"128216": {
|
| 1732 |
-
"content": "<|reserved_special_token_208|>",
|
| 1733 |
-
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|
| 1734 |
-
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|
| 1735 |
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|
| 1736 |
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|
| 1737 |
-
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|
| 1738 |
-
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|
| 1739 |
-
"128217": {
|
| 1740 |
-
"content": "<|reserved_special_token_209|>",
|
| 1741 |
-
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|
| 1742 |
-
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|
| 1743 |
-
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|
| 1744 |
-
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|
| 1745 |
-
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|
| 1746 |
-
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|
| 1747 |
-
"128218": {
|
| 1748 |
-
"content": "<|reserved_special_token_210|>",
|
| 1749 |
-
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|
| 1750 |
-
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|
| 1751 |
-
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|
| 1752 |
-
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|
| 1753 |
-
"special": true
|
| 1754 |
-
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|
| 1755 |
-
"128219": {
|
| 1756 |
-
"content": "<|reserved_special_token_211|>",
|
| 1757 |
-
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|
| 1758 |
-
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|
| 1759 |
-
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|
| 1760 |
-
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|
| 1761 |
-
"special": true
|
| 1762 |
-
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|
| 1763 |
-
"128220": {
|
| 1764 |
-
"content": "<|reserved_special_token_212|>",
|
| 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 |
-
"128221": {
|
| 1772 |
-
"content": "<|reserved_special_token_213|>",
|
| 1773 |
-
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|
| 1774 |
-
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|
| 1775 |
-
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|
| 1776 |
-
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|
| 1777 |
-
"special": true
|
| 1778 |
-
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|
| 1779 |
-
"128222": {
|
| 1780 |
-
"content": "<|reserved_special_token_214|>",
|
| 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 |
-
"128223": {
|
| 1788 |
-
"content": "<|reserved_special_token_215|>",
|
| 1789 |
-
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|
| 1790 |
-
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|
| 1791 |
-
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|
| 1792 |
-
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|
| 1793 |
-
"special": true
|
| 1794 |
-
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|
| 1795 |
-
"128224": {
|
| 1796 |
-
"content": "<|reserved_special_token_216|>",
|
| 1797 |
-
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|
| 1798 |
-
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|
| 1799 |
-
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|
| 1800 |
-
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|
| 1801 |
-
"special": true
|
| 1802 |
-
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|
| 1803 |
-
"128225": {
|
| 1804 |
-
"content": "<|reserved_special_token_217|>",
|
| 1805 |
-
"lstrip": false,
|
| 1806 |
-
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|
| 1807 |
-
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|
| 1808 |
-
"single_word": false,
|
| 1809 |
-
"special": true
|
| 1810 |
-
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|
| 1811 |
-
"128226": {
|
| 1812 |
-
"content": "<|reserved_special_token_218|>",
|
| 1813 |
-
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|
| 1814 |
-
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|
| 1815 |
-
"rstrip": false,
|
| 1816 |
-
"single_word": false,
|
| 1817 |
-
"special": true
|
| 1818 |
-
},
|
| 1819 |
-
"128227": {
|
| 1820 |
-
"content": "<|reserved_special_token_219|>",
|
| 1821 |
-
"lstrip": false,
|
| 1822 |
-
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|
| 1823 |
-
"rstrip": false,
|
| 1824 |
-
"single_word": false,
|
| 1825 |
-
"special": true
|
| 1826 |
-
},
|
| 1827 |
-
"128228": {
|
| 1828 |
-
"content": "<|reserved_special_token_220|>",
|
| 1829 |
-
"lstrip": false,
|
| 1830 |
-
"normalized": false,
|
| 1831 |
-
"rstrip": false,
|
| 1832 |
-
"single_word": false,
|
| 1833 |
-
"special": true
|
| 1834 |
-
},
|
| 1835 |
-
"128229": {
|
| 1836 |
-
"content": "<|reserved_special_token_221|>",
|
| 1837 |
-
"lstrip": false,
|
| 1838 |
-
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|
| 1839 |
-
"rstrip": false,
|
| 1840 |
-
"single_word": false,
|
| 1841 |
-
"special": true
|
| 1842 |
-
},
|
| 1843 |
-
"128230": {
|
| 1844 |
-
"content": "<|reserved_special_token_222|>",
|
| 1845 |
-
"lstrip": false,
|
| 1846 |
-
"normalized": false,
|
| 1847 |
-
"rstrip": false,
|
| 1848 |
-
"single_word": false,
|
| 1849 |
-
"special": true
|
| 1850 |
-
},
|
| 1851 |
-
"128231": {
|
| 1852 |
-
"content": "<|reserved_special_token_223|>",
|
| 1853 |
-
"lstrip": false,
|
| 1854 |
-
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|
| 1855 |
-
"rstrip": false,
|
| 1856 |
-
"single_word": false,
|
| 1857 |
-
"special": true
|
| 1858 |
-
},
|
| 1859 |
-
"128232": {
|
| 1860 |
-
"content": "<|reserved_special_token_224|>",
|
| 1861 |
-
"lstrip": false,
|
| 1862 |
-
"normalized": false,
|
| 1863 |
-
"rstrip": false,
|
| 1864 |
-
"single_word": false,
|
| 1865 |
-
"special": true
|
| 1866 |
-
},
|
| 1867 |
-
"128233": {
|
| 1868 |
-
"content": "<|reserved_special_token_225|>",
|
| 1869 |
-
"lstrip": false,
|
| 1870 |
-
"normalized": false,
|
| 1871 |
-
"rstrip": false,
|
| 1872 |
-
"single_word": false,
|
| 1873 |
-
"special": true
|
| 1874 |
-
},
|
| 1875 |
-
"128234": {
|
| 1876 |
-
"content": "<|reserved_special_token_226|>",
|
| 1877 |
-
"lstrip": false,
|
| 1878 |
-
"normalized": false,
|
| 1879 |
-
"rstrip": false,
|
| 1880 |
-
"single_word": false,
|
| 1881 |
-
"special": true
|
| 1882 |
-
},
|
| 1883 |
-
"128235": {
|
| 1884 |
-
"content": "<|reserved_special_token_227|>",
|
| 1885 |
-
"lstrip": false,
|
| 1886 |
-
"normalized": false,
|
| 1887 |
-
"rstrip": false,
|
| 1888 |
-
"single_word": false,
|
| 1889 |
-
"special": true
|
| 1890 |
-
},
|
| 1891 |
-
"128236": {
|
| 1892 |
-
"content": "<|reserved_special_token_228|>",
|
| 1893 |
-
"lstrip": false,
|
| 1894 |
-
"normalized": false,
|
| 1895 |
-
"rstrip": false,
|
| 1896 |
-
"single_word": false,
|
| 1897 |
-
"special": true
|
| 1898 |
-
},
|
| 1899 |
-
"128237": {
|
| 1900 |
-
"content": "<|reserved_special_token_229|>",
|
| 1901 |
-
"lstrip": false,
|
| 1902 |
-
"normalized": false,
|
| 1903 |
-
"rstrip": false,
|
| 1904 |
-
"single_word": false,
|
| 1905 |
-
"special": true
|
| 1906 |
-
},
|
| 1907 |
-
"128238": {
|
| 1908 |
-
"content": "<|reserved_special_token_230|>",
|
| 1909 |
-
"lstrip": false,
|
| 1910 |
-
"normalized": false,
|
| 1911 |
-
"rstrip": false,
|
| 1912 |
-
"single_word": false,
|
| 1913 |
-
"special": true
|
| 1914 |
-
},
|
| 1915 |
-
"128239": {
|
| 1916 |
-
"content": "<|reserved_special_token_231|>",
|
| 1917 |
-
"lstrip": false,
|
| 1918 |
-
"normalized": false,
|
| 1919 |
-
"rstrip": false,
|
| 1920 |
-
"single_word": false,
|
| 1921 |
-
"special": true
|
| 1922 |
-
},
|
| 1923 |
-
"128240": {
|
| 1924 |
-
"content": "<|reserved_special_token_232|>",
|
| 1925 |
-
"lstrip": false,
|
| 1926 |
-
"normalized": false,
|
| 1927 |
-
"rstrip": false,
|
| 1928 |
-
"single_word": false,
|
| 1929 |
-
"special": true
|
| 1930 |
-
},
|
| 1931 |
-
"128241": {
|
| 1932 |
-
"content": "<|reserved_special_token_233|>",
|
| 1933 |
-
"lstrip": false,
|
| 1934 |
-
"normalized": false,
|
| 1935 |
-
"rstrip": false,
|
| 1936 |
-
"single_word": false,
|
| 1937 |
-
"special": true
|
| 1938 |
-
},
|
| 1939 |
-
"128242": {
|
| 1940 |
-
"content": "<|reserved_special_token_234|>",
|
| 1941 |
-
"lstrip": false,
|
| 1942 |
-
"normalized": false,
|
| 1943 |
-
"rstrip": false,
|
| 1944 |
-
"single_word": false,
|
| 1945 |
-
"special": true
|
| 1946 |
-
},
|
| 1947 |
-
"128243": {
|
| 1948 |
-
"content": "<|reserved_special_token_235|>",
|
| 1949 |
-
"lstrip": false,
|
| 1950 |
-
"normalized": false,
|
| 1951 |
-
"rstrip": false,
|
| 1952 |
-
"single_word": false,
|
| 1953 |
-
"special": true
|
| 1954 |
-
},
|
| 1955 |
-
"128244": {
|
| 1956 |
-
"content": "<|reserved_special_token_236|>",
|
| 1957 |
-
"lstrip": false,
|
| 1958 |
-
"normalized": false,
|
| 1959 |
-
"rstrip": false,
|
| 1960 |
-
"single_word": false,
|
| 1961 |
-
"special": true
|
| 1962 |
-
},
|
| 1963 |
-
"128245": {
|
| 1964 |
-
"content": "<|reserved_special_token_237|>",
|
| 1965 |
-
"lstrip": false,
|
| 1966 |
-
"normalized": false,
|
| 1967 |
-
"rstrip": false,
|
| 1968 |
-
"single_word": false,
|
| 1969 |
-
"special": true
|
| 1970 |
-
},
|
| 1971 |
-
"128246": {
|
| 1972 |
-
"content": "<|reserved_special_token_238|>",
|
| 1973 |
-
"lstrip": false,
|
| 1974 |
-
"normalized": false,
|
| 1975 |
-
"rstrip": false,
|
| 1976 |
-
"single_word": false,
|
| 1977 |
-
"special": true
|
| 1978 |
-
},
|
| 1979 |
-
"128247": {
|
| 1980 |
-
"content": "<|reserved_special_token_239|>",
|
| 1981 |
-
"lstrip": false,
|
| 1982 |
-
"normalized": false,
|
| 1983 |
-
"rstrip": false,
|
| 1984 |
-
"single_word": false,
|
| 1985 |
-
"special": true
|
| 1986 |
-
},
|
| 1987 |
-
"128248": {
|
| 1988 |
-
"content": "<|reserved_special_token_240|>",
|
| 1989 |
-
"lstrip": false,
|
| 1990 |
-
"normalized": false,
|
| 1991 |
-
"rstrip": false,
|
| 1992 |
-
"single_word": false,
|
| 1993 |
-
"special": true
|
| 1994 |
-
},
|
| 1995 |
-
"128249": {
|
| 1996 |
-
"content": "<|reserved_special_token_241|>",
|
| 1997 |
-
"lstrip": false,
|
| 1998 |
-
"normalized": false,
|
| 1999 |
-
"rstrip": false,
|
| 2000 |
-
"single_word": false,
|
| 2001 |
-
"special": true
|
| 2002 |
-
},
|
| 2003 |
-
"128250": {
|
| 2004 |
-
"content": "<|reserved_special_token_242|>",
|
| 2005 |
-
"lstrip": false,
|
| 2006 |
-
"normalized": false,
|
| 2007 |
-
"rstrip": false,
|
| 2008 |
-
"single_word": false,
|
| 2009 |
-
"special": true
|
| 2010 |
-
},
|
| 2011 |
-
"128251": {
|
| 2012 |
-
"content": "<|reserved_special_token_243|>",
|
| 2013 |
-
"lstrip": false,
|
| 2014 |
-
"normalized": false,
|
| 2015 |
-
"rstrip": false,
|
| 2016 |
-
"single_word": false,
|
| 2017 |
-
"special": true
|
| 2018 |
-
},
|
| 2019 |
-
"128252": {
|
| 2020 |
-
"content": "<|reserved_special_token_244|>",
|
| 2021 |
-
"lstrip": false,
|
| 2022 |
-
"normalized": false,
|
| 2023 |
-
"rstrip": false,
|
| 2024 |
-
"single_word": false,
|
| 2025 |
-
"special": true
|
| 2026 |
-
},
|
| 2027 |
-
"128253": {
|
| 2028 |
-
"content": "<|reserved_special_token_245|>",
|
| 2029 |
-
"lstrip": false,
|
| 2030 |
-
"normalized": false,
|
| 2031 |
-
"rstrip": false,
|
| 2032 |
-
"single_word": false,
|
| 2033 |
-
"special": true
|
| 2034 |
-
},
|
| 2035 |
-
"128254": {
|
| 2036 |
-
"content": "<|reserved_special_token_246|>",
|
| 2037 |
-
"lstrip": false,
|
| 2038 |
-
"normalized": false,
|
| 2039 |
-
"rstrip": false,
|
| 2040 |
-
"single_word": false,
|
| 2041 |
-
"special": true
|
| 2042 |
-
},
|
| 2043 |
-
"128255": {
|
| 2044 |
-
"content": "<|reserved_special_token_247|>",
|
| 2045 |
-
"lstrip": false,
|
| 2046 |
-
"normalized": false,
|
| 2047 |
-
"rstrip": false,
|
| 2048 |
-
"single_word": false,
|
| 2049 |
-
"special": true
|
| 2050 |
-
}
|
| 2051 |
-
},
|
| 2052 |
-
"bos_token": "<|begin_of_text|>",
|
| 2053 |
-
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
|
| 2054 |
-
"clean_up_tokenization_spaces": true,
|
| 2055 |
-
"eos_token": "<|eot_id|>",
|
| 2056 |
-
"model_input_names": [
|
| 2057 |
-
"input_ids",
|
| 2058 |
-
"attention_mask"
|
| 2059 |
-
],
|
| 2060 |
-
"model_max_length": 131072,
|
| 2061 |
-
"pad_token": "<|finetune_right_pad_id|>",
|
| 2062 |
-
"padding_side": "right",
|
| 2063 |
-
"tokenizer_class": "PreTrainedTokenizerFast"
|
| 2064 |
-
}
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|
llama_Vietnamese_German/checkpoint-200/training_args.bin
DELETED
|
@@ -1,3 +0,0 @@
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| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:bf5cf9bf9d0f34f67e7446154bc647af291346c242c9eeb21ce56b8e08849b48
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| 3 |
-
size 5624
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