TimeMobius
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Update README.md
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README.md
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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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---
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# Huggingface format for Mobius Chat 12B 128k v4
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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def generate_prompt(instruction, input=""):
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instruction = instruction.strip().replace('\r\n','\n').replace('\n\n','\n')
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input = input.strip().replace('\r\n','\n').replace('\n\n','\n')
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if input:
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return f"""Instruction: {instruction}
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Input: {input}
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Response:"""
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else:
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return f"""User: {instruction}
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Assistant:"""
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#model = AutoModelForCausalLM.from_pretrained("TimeMobius/Mobius-Chat-12B-128k-HF", trust_remote_code=True, torch_dtype=torch.bfloat16).to(0)
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model = AutoModelForCausalLM.from_pretrained("TimeMobius/Mobius-Chat-12B-128k-HF", trust_remote_code=True, torch_dtype=torch.float16).to(0)
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tokenizer = AutoTokenizer.from_pretrained("TimeMobius/Mobius-Chat-12B-128k-HF", trust_remote_code=True)
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text = "Write a beginning of sci-fi novel"
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prompt = generate_prompt(text)
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inputs = tokenizer(prompt, return_tensors="pt").to(0)
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output = model.generate(inputs["input_ids"], max_new_tokens=128, do_sample=True, temperature=1.0, top_p=0.3, top_k=0, )
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print(tokenizer.decode(output[0].tolist(), skip_special_tokens=True))
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```
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