CjangCjengh
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Browse files- README.md +52 -0
- added_tokens.json +5 -0
- config.json +29 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +490 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +44 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: cc-by-nc-sa-4.0
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language:
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- ko
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- zh
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---
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基于[Sakura-14B-Qwen2beta-Base-v2](https://huggingface.co/SakuraLLM/Sakura-14B-Qwen2beta-Base-v2),在韩文轻小说翻译数据上微调(包含713本日轻的韩翻和中翻对照以及14本韩轻的中翻)
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模型仅支持韩文→简体中文的翻译
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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from transformers.generation import GenerationConfig
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model_path = 'CjangCjengh/LN-Korean-14B-v0.3'
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tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)
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model = AutoModelForCausalLM.from_pretrained(model_path, device_map='auto', trust_remote_code=True).eval()
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model.generation_config = GenerationConfig.from_pretrained(model_path, trust_remote_code=True)
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# 段落之间用\n分隔
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text = '''여자애들이 자신들의 첫 경험에 대한 이야기를 하는 걸 들은 적이 있는가.
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물론 여기서 첫 경험이라는 것은 처음으로 야자를 쨌다든가 처음으로 술을 마셔 봤다든가 그런 것이 아니라, 명실공히 그렇고 그런 의미에서의 첫 경험이다.
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“우, 우리가…… 처음으로 그, 그걸 한 거는 말이야.”
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그렇게 말한 것은 소파에 앉아 있는 갈색 교복의 소녀였다. 둥근 얼굴에 커다란 갈색 눈동자를 지닌, 부드러운 머리카락을 어깨 위로 늘어뜨리고 있는 소녀다. 전반적으로 얌전한 모범생 같아 보이는 인상이고 몸집도 아담한 편이지만, 교복 상의를 매혹적으로 부풀어 오르게 하고 있는 가슴만큼은 얌전하지도 아담하지도 않았다. 몸을 움츠린 자세 탓에 두 팔이 가슴을 양옆에서 압박하고 있어, 몸을 움직일 때마다 그 윤곽이 부드럽게 일그러졌다.'''
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# 文本长度控制在1024以内
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assert len(text) < 1024
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messages = [
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{'role': 'user', 'content': f'翻译成中文:\n{text}'}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors='pt').to('cuda')
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generated_ids = model.generate(
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model_inputs.input_ids,
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max_new_tokens=1024
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)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Sakura-14B-Qwen2beta-Base-v2",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13696,
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"max_position_embeddings": 32768,
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"max_window_layers": 35,
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"model_type": "qwen2",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.2",
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"use_cache": false,
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"use_flash_attention": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"max_new_tokens": 2048,
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"transformers_version": "4.41.2"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00006.safetensors
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size 4919426680
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model-00002-of-00006.safetensors
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model-00003-of-00006.safetensors
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model-00004-of-00006.safetensors
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model-00005-of-00006.safetensors
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model.safetensors.index.json
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tokenizer_config.json
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trainer_state.json
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training_args.bin
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vocab.json
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