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Model: yentinglin/Taiwan-LLM-7B-v2.1-chat Source: Original Platform
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README.md
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---
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/model-cards
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license: apache-2.0
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language:
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- zh
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widget:
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- text: >-
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A chat between a curious user and an artificial intelligence assistant.
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The assistant gives helpful, detailed, and polite answers to the user's
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questions. USER: 你好，請問你可以幫我寫一封推薦信嗎？ ASSISTANT:
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library_name: transformers
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pipeline_tag: text-generation
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extra_gated_heading: Acknowledge license to accept the repository.
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extra_gated_prompt: Please contact the author for access.
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extra_gated_button_content: Acknowledge license 同意以上內容
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extra_gated_fields:
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Name: text
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Mail: text
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Organization: text
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Country: text
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Any utilization of the Taiwan LLM repository mandates the explicit acknowledgment and attribution to the original author: checkbox
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使用Taiwan LLM必須明確地承認和歸功於優必達株式會社 Ubitus 以及原始作者: checkbox
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---
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<img src="https://cdn-uploads.huggingface.co/production/uploads/5df9c78eda6d0311fd3d541f/CmusIT5OlSXvFrbTJ7l-C.png" alt="Taiwan LLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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# 🌟 Checkout [Taiwan-LLM Demo Chat-UI](http://www.twllm.com) 🌟
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# Model Card for Taiwan LLM 7B v2.1 chat
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Taiwan LLM is an advanced language model tailored for Traditional Chinese, focusing on the linguistic and cultural contexts of Taiwan.
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Developed from a large base model, it's enriched with diverse Taiwanese textual sources and refined through Supervised Fine-Tuning.
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This model excels in language understanding and generation, aligning closely with Taiwan's cultural nuances.
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It demonstrates improved performance on various benchmarks like TC-Eval, showcasing its contextual comprehension and cultural relevance.
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For detailed insights into Taiwan LLM's development and features, refer to our [technical report](https://github.com/MiuLab/Taiwan-LLaMa/blob/main/twllm_paper.pdf).
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## Model description
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- **Model type:** A 7B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
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- **Language(s) (NLP):** Primarily Traditional Chinese (zh-tw)
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- **Finetuned from model:** [yentinglin/Taiwan-LLM-7B-v2.0-base](https://huggingface.co/yentinglin/yentinglin/Taiwan-LLM-7B-v2.0-base)
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- **TMMLUS+ score:** 22.19570181818182
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/MiuLab/Taiwan-LLaMa
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- **Demo:** https://twllm.com/
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## Performance
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## Intended uses
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Here's how you can run the model using the `pipeline()` function from 🤗 Transformers:
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```python
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# pip install transformers>=4.34
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# pip install accelerate
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import torch
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from transformers import pipeline
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pipe = pipeline("text-generation", model="yentinglin/Taiwan-LLM-7B-v2.1-chat", torch_dtype=torch.bfloat16, device_map="auto")
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# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
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messages = [
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{
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"role": "system",
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"content": "你是一個人工智慧助理",
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},
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{"role": "user", "content": "東北季風如何影響台灣氣候？"},
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]
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prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 5.0
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## Citation
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If you find Taiwan LLM is useful in your work, please cite it with:
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```
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@misc{lin2023taiwan,
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title={Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model},
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author={Yen-Ting Lin and Yun-Nung Chen},
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year={2023},
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eprint={2311.17487},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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# Acknowledgement
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Taiwan LLM v2 is conducted in collaboration with [Ubitus K.K.](http://ubitus.net). Ubitus provides valuable compute resources for the project.
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# Disclaimer
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This model is provided “as‑is” and without warranties of any kind. Users are solely responsible for evaluating the accuracy and suitability of the outputs. The developers assume no liability for any direct or indirect damages arising from its use.
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The model is strictly not intended for high‑risk applications such as medical diagnosis, legal advice, or financial investment. For such use cases, please consult qualified professionals.
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本模型「如是」（as‑is）提供，使用者須自行評估結果之正確性與適用性。開發者對於使用本模型所引發之任何直接或間接損失，不承擔任何法律責任。
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嚴禁用於醫療診斷、法律諮詢、金融投資等高風險場景；若有相關需求，請尋求專業人員協助。
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config.json
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"architectures": [
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"LlamaForCausalLM"
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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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"tie_word_embeddings": false,
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"use_cache": true,
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"vocab_size": 32000
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}
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"temperature": 0.6,
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"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
66
tmmluplus_Taiwan-LLM-7B-v2.1-chat.tsv
Normal file
66
tmmluplus_Taiwan-LLM-7B-v2.1-chat.tsv
Normal file
@@ -0,0 +1,66 @@
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat engineering_math 27.18447
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat dentistry 25.81454
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat traditional_chinese_medicine_clinical_medicine 19.06475
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat clinical_psychology 24.80000
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat technical 27.61194
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat culinary_skills 35.95890
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat mechanical 33.89831
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat logic_reasoning 14.38849
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat real_estate 18.47826
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat general_principles_of_law 16.98113
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat finance_banking 24.44444
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat anti_money_laundering 30.59701
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat ttqav2 35.39823
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat marketing_management 31.18280
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat business_management 26.61871
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat organic_chemistry 26.60550
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat advance_chemistry 21.13821
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat physics 15.46392
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat secondary_physics 22.32143
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat human_behavior 26.21359
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat national_protection 30.80569
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat jce_humanities 21.11111
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat politic_science 18.99497
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat agriculture 21.85430
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat official_document_management 18.91892
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat financial_analysis 13.87435
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat pharmacy 15.34527
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat educational_psychology 22.72727
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat statistics_and_machine_learning 20.53571
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat management_accounting 17.67442
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat introduction_to_law 23.62869
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat computer_science 25.86207
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat veterinary_pathology 23.32155
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat accounting 5.23560
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat fire_science 16.12903
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat optometry 19.56522
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat insurance_studies 24.21053
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat pharmacology 23.22357
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat taxation 18.40000
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat education_(profession_level) 16.25514
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat economics 18.82952
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat veterinary_pharmacology 25.55556
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat nautical_science 19.60073
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat occupational_therapy_for_psychological_disorders 28.36096
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat trust_practice 16.45885
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat geography_of_taiwan 20.83333
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat physical_education 18.43575
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat auditing 16.36364
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat administrative_law 18.80952
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat basic_medical_science 19.70650
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat macroeconomics 20.68127
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat trade 19.92032
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat chinese_language_and_literature 19.59799
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat tve_design 31.04167
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat junior_science_exam 23.94366
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat junior_math_exam 14.28571
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat junior_chinese_exam 22.85714
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat junior_social_studies 20.63492
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat tve_mathematics 9.33333
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat tve_chinese_language 19.25466
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat tve_natural_sciences 23.82075
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat junior_chemistry 22.00957
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat music 28.05755
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat education 22.58065
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat three_principles_of_people 38.84892
|
||||
yentinglin/Taiwan-LLM-7B-v2.1-chat taiwanese_hokkien 23.25581
|
||||
|
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'].strip() %}{% else %}{% set loop_messages = messages %}{% set system_message = '你是人工智慧助理，以下是用戶和人工智能助理之間的對話。你要對用戶的問題提供有用、安全、詳細和禮貌的回答。' %}{% endif %}{{system_message + eos_token}}{% for message in loop_messages %}{% if message['role'] == 'user' %}USER: {{ message['content'].strip() + eos_token }}{% elif message['role'] == 'system' %}{{message['content'].strip() + eos_token}}{% elif message['role'] == 'assistant' %}ASSISTANT: {{ message['content'].strip() + eos_token }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{'ASSISTANT:'}}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": false,
|
||||
"model_max_length": 4096,
|
||||
"pad_token": "<unk>",
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user