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  1. README.md +48 -0
  2. adapter_config.json +33 -0
  3. adapter_model.safetensors +3 -0
README.md CHANGED
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  ---
 
 
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  license: mit
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ library_name: peft
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+ base_model: yanolja/EEVE-Korean-Instruct-10.8B-v1.0
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  license: mit
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+ language:
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+ - ko
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+ - en
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+ pipeline_tag: translation
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  ---
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+
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+ ์‚ฌ์šฉ ๋ฐ์ดํ„ฐ์…‹: aihub
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+
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+ ํ›ˆ๋ จ ํ™˜๊ฒฝ: RTX3090 x 8
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+
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+ epoch: 1
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+
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+ time: 19์‹œ๊ฐ„
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+
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+ ``` python
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+ import torch
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+ from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
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+ from peft import prepare_model_for_kbit_training, PeftModel, PeftConfig
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+
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+ model_path = 'yanolja/EEVE-Korean-Instruct-10.8B-v1.0'
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+ lora_path = 'qwopqwop/EEVE-ALMA'
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+
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+ bnb_config = BitsAndBytesConfig(load_in_4bit=True,bnb_4bit_quant_type="nf4",bnb_4bit_compute_dtype=torch.float16,)
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+ model = AutoModelForCausalLM.from_pretrained(model_path, quantization_config=bnb_config, trust_remote_code=True)
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+ model.config.use_cache = False
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+ model = PeftModel.from_pretrained(model, lora_path)
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+ model = prepare_model_for_kbit_training(model)
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+ tokenizer = AutoTokenizer.from_pretrained(model_path, padding_side='left')
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+
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+ en_text = 'Hi.'
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+ ko_text = '์•ˆ๋…•ํ•˜์„ธ์š”.'
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+
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+ en_prompt = f"Translate this from English to Korean:\nEnglish: {en_text}\nKorean:"
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+ ko_prompt = f"Translate this from Korean to English:\nKorean: {ko_text}\nEnglish:"
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+
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+ input_ids = tokenizer(en_prompt, return_tensors="pt", padding=True, max_length=256, truncation=True).input_ids.cuda()
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+ with torch.no_grad():
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+ generated_ids = model.generate(input_ids=input_ids, num_beams=5, max_new_tokens=20, do_sample=True, temperature=0.6, top_p=0.9)
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+ outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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+ print(outputs)
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+
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+ input_ids = tokenizer(ko_prompt, return_tensors="pt", padding=True, max_length=256, truncation=True).input_ids.cuda()
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+ with torch.no_grad():
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+ generated_ids = model.generate(input_ids=input_ids, num_beams=5, max_new_tokens=20, do_sample=True, temperature=0.6, top_p=0.9)
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+ outputs = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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+ print(outputs)
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+ ```
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "yanolja/EEVE-Korean-10.8B-v1.0",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.1,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "o_proj",
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+ "up_proj",
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+ "q_proj",
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+ "v_proj",
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+ "gate_proj",
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+ "down_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cac94806bf91eb3b57f1f9d7ba427238cb208715e0d73211aced73f5263f4ca9
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+ size 503407912