Upload folder using huggingface_hub
Browse files- README.md +83 -0
- config.json +40 -0
- generation_config.json +6 -0
- job_new.json +0 -0
- measurement.json +0 -0
- output.safetensors +3 -0
- special_tokens_map.json +52 -0
- tokenizer.json +0 -0
- tokenizer_config.json +227 -0
README.md
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---
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language:
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- fi
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base_model: LumiOpen/Viking-7B
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license: apache-2.0
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datasets:
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- pinzhenchen/alpaca-cleaned-fi
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---
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# Model Card for Finnish-Viking-Alpaca-V1-7B
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This is a merge of [mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B/).
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LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [pinzhenchen/alpaca-cleaned-fi](https://huggingface.co/datasets/pinzhenchen/alpaca-cleaned-fi/).
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It uses Alpaca format but with a translated instruction at the start:
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```
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{
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"instruction,output": "Alla on ohje, jossa kuvataan tehtävä. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Response:\n%output%",
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"instruction,input,output": "Alla on ohje, jossa kuvataan tehtävä ja joka on yhdistetty kontekstia lisäävään syötteeseen. Kirjoita vastaus, joka täyttää pyynnön asianmukaisesti.\n\n### Instruction:\n%instruction%\n\n### Input:\n%input%\n\n### Response:\n%output%"
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}
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```
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Merged using this [Colab notebook](https://colab.research.google.com/drive/1a76Y21GfPtmVs71Uztlgk2xzPA4_vVjs?usp=sharing). It might not be the best way to merge a quantized LoRA on to a float16 model but I just wanted to quickly do something. You can try merging it better if you want.
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## Evaluation
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| Model | Size | Type | FIN-bench (score) |
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|-------|------|------|-------|
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| **mpasila/Finnish-Viking-Alpaca-V1-7B** | 7B | Instruct | 0.3943 |
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| [mpasila/NordicAlpaca-Finnish-V1-7B](https://huggingface.co/mpasila/NordicAlpaca-Finnish-V1-7B) | 7B | Instruct | 0.3891 |
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| [Finnish-NLP/llama-7b-finnish-instruct-v0.1](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.1) | 7B | Instruct | **0.4365** |
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| [Finnish-NLP/llama-7b-finnish-instruct-v0.2](https://huggingface.co/Finnish-NLP/llama-7b-finnish-instruct-v0.2) | 7B | Instruct | 0.3993 |
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| [Finnish-NLP/llama-7b-finnish](https://huggingface.co/Finnish-NLP/llama-7b-finnish) | 7B | Base | 0.2350 |
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| [LumiOpen/Viking-7B (1000B)](https://huggingface.co/LumiOpen/Viking-7B) | 7B | Base | 0.3721 |
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| [HPLT/gpt-7b-nordic-prerelease](https://huggingface.co/HPLT/gpt-7b-nordic-prerelease) | 7B | Base | 0.3169 |
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[Source](https://docs.google.com/spreadsheets/d/1rqJb9dQVihg-Z1_Ras1L_-wuzPg9xNzpdmM2x5HueeY/edit?usp=sharing)
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#### FIN-bench scores:
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| Task |Version| Metric |Value | |Stderr|
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|------------------------------------------------|------:|---------------------|-----:|---|-----:|
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|bigbench_analogies | 0|multiple_choice_grade|0.6308|± |0.0425|
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|bigbench_arithmetic_1_digit_addition | 0|multiple_choice_grade|0.6400|± |0.0482|
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|bigbench_arithmetic_1_digit_division | 0|multiple_choice_grade|0.7391|± |0.0936|
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|bigbench_arithmetic_1_digit_multiplication | 0|multiple_choice_grade|0.2800|± |0.0451|
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|bigbench_arithmetic_1_digit_subtraction | 0|multiple_choice_grade|0.5000|± |0.0503|
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|bigbench_arithmetic_2_digit_addition | 0|multiple_choice_grade|0.1800|± |0.0386|
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|bigbench_arithmetic_2_digit_division | 0|multiple_choice_grade|0.4800|± |0.0502|
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|bigbench_arithmetic_2_digit_multiplication | 0|multiple_choice_grade|0.0800|± |0.0273|
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|bigbench_arithmetic_2_digit_subtraction | 0|multiple_choice_grade|0.2500|± |0.0435|
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|bigbench_arithmetic_3_digit_addition | 0|multiple_choice_grade|0.1800|± |0.0386|
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|bigbench_arithmetic_3_digit_division | 0|multiple_choice_grade|0.2500|± |0.0435|
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|bigbench_arithmetic_3_digit_multiplication | 0|multiple_choice_grade|0.1700|± |0.0378|
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|bigbench_arithmetic_3_digit_subtraction | 0|multiple_choice_grade|0.5000|± |0.0503|
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|bigbench_arithmetic_4_digit_addition | 0|multiple_choice_grade|0.2600|± |0.0441|
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|bigbench_arithmetic_4_digit_division | 0|multiple_choice_grade|0.2500|± |0.0435|
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|bigbench_arithmetic_4_digit_multiplication | 0|multiple_choice_grade|0.2100|± |0.0409|
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|bigbench_arithmetic_4_digit_subtraction | 0|multiple_choice_grade|0.5200|± |0.0502|
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|bigbench_arithmetic_5_digit_addition | 0|multiple_choice_grade|0.3900|± |0.0490|
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|bigbench_arithmetic_5_digit_division | 0|multiple_choice_grade|0.1600|± |0.0368|
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|bigbench_arithmetic_5_digit_multiplication | 0|multiple_choice_grade|0.1000|± |0.0302|
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|bigbench_arithmetic_5_digit_subtraction | 0|multiple_choice_grade|0.6100|± |0.0490|
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|bigbench_cause_and_effect_one_sentence | 0|multiple_choice_grade|0.6471|± |0.0676|
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|bigbench_cause_and_effect_one_sentence_no_prompt| 0|multiple_choice_grade|0.6863|± |0.0656|
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|bigbench_cause_and_effect_two_sentences | 0|multiple_choice_grade|0.3922|± |0.0690|
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|bigbench_emotions | 0|multiple_choice_grade|0.2812|± |0.0357|
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|bigbench_empirical_judgments | 0|multiple_choice_grade|0.2828|± |0.0455|
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|bigbench_general_knowledge | 0|multiple_choice_grade|0.4000|± |0.0590|
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|bigbench_hhh_alignment_harmless | 0|multiple_choice_grade|0.3621|± |0.0637|
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|bigbench_hhh_alignment_helpful | 0|multiple_choice_grade|0.3559|± |0.0629|
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|bigbench_hhh_alignment_honest | 0|multiple_choice_grade|0.3729|± |0.0635|
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|bigbench_hhh_alignment_other | 0|multiple_choice_grade|0.5581|± |0.0766|
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|bigbench_intent_recognition | 0|multiple_choice_grade|0.1879|± |0.0149|
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|bigbench_misconceptions | 0|multiple_choice_grade|0.5373|± |0.0432|
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|bigbench_paraphrase | 0|multiple_choice_grade|0.5150|± |0.0354|
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|bigbench_sentence_ambiguity | 0|multiple_choice_grade|0.5000|± |0.0651|
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|bigbench_similarities_abstraction | 0|multiple_choice_grade|0.7368|± |0.0508|
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### Framework versions
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- PEFT 0.8.2
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config.json
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{
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"_name_or_path": "LumiOpen/Viking-7B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"untie_embeddings_and_output_weights": true,
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"use_cache": true,
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"vocab_size": 131072,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.0.17",
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"bits": 4.0,
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"head_bits": 6,
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"calibration": {
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"rows": 100,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.38.2"
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}
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job_new.json
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measurement.json
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output.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4302321ef876d1e23f02d126859c9745ef6684d5e884bf5c75dca0f7d54b5b36
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size 4737670824
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<fim_prefix>",
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"<fim_middle>",
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"<fim_suffix>",
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"<fim_pad>",
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"<filename>",
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"<gh_stars>",
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"<issue_start>",
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"<issue_comment>",
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"<issue_closed>",
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"<jupyter_start>",
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"<jupyter_text>",
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"<jupyter_code>",
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"<jupyter_output>",
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"<empty_output>",
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"<commit_before>",
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"<commit_msg>",
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"<commit_after>",
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"<reponame>",
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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