commit 12936592a127ae926aed500d11fe95a92bbfd3cd Author: ModelHub XC Date: Thu May 14 06:03:35 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: Bohanlu/Taigi-Llama-2-Translator-7B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..907ec78 --- /dev/null +++ b/README.md @@ -0,0 +1,90 @@ +--- +license: cc-by-nc-sa-4.0 +--- +

+Taigi-llama-logo +

+ +# Model Card for Taigi-Llama-2-Translator-7B +The Taigi-Llama-2-Translator series are built based on the Taigi-Llama-2 series model. We conducted fine-tuning on 263k parallel data to create a translation model for Taiwanese Hokkien and related languages. + +For more details, please refer to our [GitHub repository](https://github.com/lbh0830/TW-Hokkien-LLM/tree/main) and the paper: [Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems](https://arxiv.org/abs/2403.12024) + +Explore other models and datasets in the [Taiwanese Hokkien LLM collection](https://huggingface.co/collections/Bohanlu/taiwanese-hokkien-llm-6614ba7456e6789bc2f10ca0). + +## Model description + +- **Base Model:** [Bohanlu/Taigi-Llama-2-7B](https://huggingface.co/Bohanlu/Taigi-Llama-2-7B) +- **Usage:** This model can be used for translating between Traditional Chinese or English and Taiwanese Hokkien (Hanzi, POJ, or Hanlo). It also supports translation between different scripts of Taiwanese Hokkien (Hanzi, POJ, Hanlo). +- **Language(s) (NLP):** Taiwanese Hokkien (Hanzi, POJ and Hanlo), Traditional Chinese and English +- **Input:** Text in source language +- **Output:** Text in target language +- **Model Size:** 7B parameters + +## Prompt Template +``` +{BOS}[TRANS]\n{source_sentence}\n[/TRANS]\n[{target_language}]\n +``` + +- `source_sentence`: The sentence you want to translate. +- `target_language`: The target language you want to translate to. Use "ZH" for Traditional Chinese, "EN" for English, "POJ" for Taiwanese Hokkien POJ, "HL" for Taiwanese Hokkien Hanlo, and "HAN" for Taiwanese Hokkien Hanzi. +- Ensure there's a newline at the end. + +## Usage Example +```python +from transformers import AutoModelForCausalLM, AutoTokenizer, TextGenerationPipeline +import torch +import accelerate + +def get_pipeline(path:str, tokenizer:AutoTokenizer, accelerator:accelerate.Accelerator) -> TextGenerationPipeline: + model = AutoModelForCausalLM.from_pretrained( + path, torch_dtype=torch.float16, device_map='auto', trust_remote_code=True) + + terminators = [tokenizer.eos_token_id, tokenizer.pad_token_id] + + pipeline = TextGenerationPipeline(model = model, tokenizer = tokenizer, num_workers=accelerator.state.num_processes*4, pad_token_id=tokenizer.pad_token_id, eos_token_id=terminators) + + return pipeline + +model_dir = "Bohanlu/Taigi-Llama-2-Translator-7B" # or "Bohanlu/Taigi-Llama-2-Translator-13B" for the 13B model +tokenizer = AutoTokenizer.from_pretrained(model_dir, use_fast=False) + +accelerator = accelerate.Accelerator() +pipe = get_pipeline(model_dir, tokenizer, accelerator) + +PROMPT_TEMPLATE = "[TRANS]\n{source_sentence}\n[/TRANS]\n[{target_language}]\n" + +def translate(source_sentence:str, target_language:str) -> str: + prompt = PROMPT_TEMPLATE.format(source_sentence=source_sentence, target_language=target_language) + out = pipe(prompt, return_full_text=False, repetition_penalty=1.1, do_sample=False)[0]['generated_text'] + return out[:out.find("[/")].strip() + +source_sentence = "How are you today？" + +print("To Hanzi: " + translate(source_sentence, "HAN")) +# Output: To Hanzi: 你今仔日好無？ + +print("To POJ: " + translate(source_sentence, "POJ")) +# Output: To POJ: Lí kin-á-ji̍t án-chóaⁿ? + +print("To Traditional Chinese: " + translate(source_sentence, "ZH")) +# Output: To Traditional Chinese: 你今天好嗎？ + +print("To Hanlo: " + translate(source_sentence, "HL")) +# Output: To Hanlo: 你今仔日好無？ +``` + +## Citation + +If you find the resources in the Taiwanese Hokkien LLM collection useful in your work, please cite it using the following reference: + +``` +@misc{lu2024enhancing, + title={Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems}, + author={Bo-Han Lu and Yi-Hsuan Lin and En-Shiun Annie Lee and Richard Tzong-Han Tsai}, + year={2024}, + eprint={2403.12024}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` diff --git a/config.json b/config.json new file mode 100644 index 0000000..9ffe9ce --- /dev/null +++ b/config.json @@ -0,0 +1,27 @@ +{ + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + 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