dorami-ai commited on
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README.md CHANGED
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  ---
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  license: apache-2.0
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ datasets:
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+ - liyucheng/zhihu_rlhf_3k
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+ language:
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+ - zh
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+ base_model:
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+ - lucky2me/Dorami-Chat
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  ---
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+
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+ # Dorami-Chat-LoRA
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+
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+ Dorami-Chat-LoRA is a Low-Rank Adaptation(LoRA) model based on the model lucky2me/Dorami-Chat
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+
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+ ## Model description
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+
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+ ### Training data
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+
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+ - [liyucheng/zhihu_rlhf_3k](https://huggingface.co/datasets/liyucheng/zhihu_rlhf_3k)
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+
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+ ### Training code
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+
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+ - [dorami](https://github.com/6zeus/dorami.git)
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+
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+ ## How to use
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+
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+ ### 1. Download model from Hugging Face Hub to local
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+
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+ ```
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+ git lfs install
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+ git clone https://huggingface.co/lucky2me/Dorami-Chat-LoRA
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+ ```
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+
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+ ### 2. Use the model downloaded above
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
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+ model_path = "The path of the model downloaded above"
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+ tokenizer = AutoTokenizer.from_pretrained(model_path)
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+ model = AutoModelForCausalLM.from_pretrained(model_path)
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+ prompt="fill in any prompt you like."
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+ inputs = tokenizer(prompt, return_tensors="pt")
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+ generation_config = GenerationConfig(max_new_tokens=64, do_sample=True, top_k=2, eos_token_id=model.config.eos_token_id)
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+ outputs = model.generate(**inputs, generation_config=generation_config)
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+ decoded_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)
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+ print(decoded_text)
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+ ```
adapter_config.json ADDED
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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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+ }
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tokenizer.json ADDED
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vocab.txt ADDED
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