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Mixtral-based Ja-En (En-Ja) Translation model

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hppRC/llm-translator

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Released model:https://huggingface.co/hpprc/Mixtral-8x7B-Instruct-ja-en

Trained with A6000 (48Gib) x 4 for 6 hours.

Installation

rye syncpip install flash-attn --no-build-isolationpip install "multiprocess==0.70.15"

Dataset Creation

bash datasets/download.sh# parse original html files to avoid noises from pre-tokenized textspython src/misc/parse_htm.py

Train

accelerate launch --config_file accelerate.json src/train.py

Technical Highlights

  • use QLoRA (r=16, targeted all linears)
  • use NEFTune (α=5.0)
  • use TRL

Demo

python src/demo.py# Ja > どうもこんにちは、ニンジャスレイヤーです# Hello, I'm Ninja Slayer.

Full demo script

importtorchfrompeftimportPeftModelfromtransformersimportAutoModelForCausalLM,AutoTokenizer@torch.inference_mode()defmain():model_id="mistralai/Mixtral-8x7B-Instruct-v0.1"peft_id="hpprc/Mixtral-8x7B-Instruct-ja-en"tokenizer=AutoTokenizer.from_pretrained(model_id)tokenizer.pad_token=tokenizer.unk_tokenmodel=AutoModelForCausalLM.from_pretrained(model_id,torch_dtype=torch.bfloat16,device_map="auto",use_cache=True,    ).eval()model=PeftModel.from_pretrained(model=model,model_id=peft_id)messages= [# {"role": "user", "content": "Translate this English sentence into Japanese.\n" + input("En > ")},        {"role":"user","content":"Translate this Japanese sentence into English.\n"+input("Ja > ")},    ]prompts=tokenizer.apply_chat_template(messages,tokenize=False,add_generation_prompt=True)inputs=tokenizer(prompts,return_tensors="pt").to("cuda")outputs=model.generate(**inputs,max_new_tokens=128,do_sample=True,top_p=0.95,num_beams=5,pad_token_id=tokenizer.eos_token_id,    )gen_ids=outputs[0][len(inputs.input_ids[0]):]out=tokenizer.decode(gen_ids,skip_special_tokens=True)out=out.split("\n")[0]# 生成しすぎることがあるので最初の一文だけ取り出すのがいいかもprint(out)if__name__=="__main__":main()

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