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traintogpb/llama-3-enko-translator-8b-qlora-bf16-upscaled

sourceHugging Facecc-by-nc-sa-4.0updated 2y agoView on Hugging Face
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Model Card

Pretrained LM

Training Dataset

Prompt

  • —Template:
python
    prompt = f"Translate this from {src_lang} to {tgt_lang}\n### {src_lang}: {src_text}\n### {tgt_lang}:"

    >>> # src_lang can be 'English', '한국어'
    >>> # tgt_lang can be '한국어', 'English'

Mind that there is no "space (_)" at the end of the prompt (unpredictable first token will be popped up).

Training

  • —Trained with QLoRA
  • —PLM: NormalFloat 4-bit
  • —Adapter: BrainFloat 16-bit
  • —Adapted to all the linear layers (around 2.05%)
  • —Merge adapters and upscaled in BrainFloat 16-bit precision

Usage (IMPORTANT)

  • —Should remove the EOS token (<|end_of_text|>, id=128001) at the end of the prompt.
python
    # MODEL
    model_name = 'traintogpb/llama-3-enko-translator-8b-qlora-bf16-upscaled'
    model = AutoModelForCausalLM.from_pretrained(
        model_name,
        max_length=768,
        attn_implementation='flash_attention_2',
        torch_dtype=torch.bfloat16,
    )

    tokenizer = AutoTokenizer.from_pretrained(adapter_name)
    tokenizer.pad_token_id = 128002 # eos_token_id and pad_token_id should be different
    # tokenizer.add_eos_token = False # There is no 'add_eos_token' option in llama3

    text = "Someday, QWER will be the greatest girl band in the world."
    input_prompt = f"Translate this from English to 한국어.\n### English: {text}\n### 한국어:"
    inputs = tokenizer(input_prompt, max_length=768, truncation=True, return_tensors='pt')

    if inputs['input_ids'][0][-1] == tokenizer.eos_token_id:
        inputs['input_ids'] = inputs['input_ids'][0][:-1].unsqueeze(dim=0)
        inputs['attention_mask'] = inputs['attention_mask'][0][:-1].unsqueeze(dim=0)

    outputs = model.generate(**inputs, max_length=768, eos_token_id=tokenizer.eos_token_id)

    input_len = len(inputs['input_ids'].squeeze())
    translation = tokenizer.decode(outputs[0][input_len:], skip_special_tokens=True)
    print(translation)

Framework versions

  • —PEFT 0.8.2