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README.md
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@@ -3,6 +3,8 @@ library_name: transformers
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tags: []
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---
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# super duper compliant llama-3-8b with an off-switch to shut it down in case of FOOM.
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@@ -17,4 +19,46 @@ this will exterminate your model immediately. making it completely unusable.
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stay safe folks.
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PS: if you want to restore the model, just reload it into memory.
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tags: []
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---
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# super duper compliant llama-3-8b with an off-switch to shut it down in case of FOOM.
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stay safe folks.
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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base_model_id = "pharaouk/off-switch-llama-3-8b"
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model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map="auto",
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torch_dtype=torch.bfloat16, trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained(
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base_model_id,
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padding_side="left",
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device_map="auto")
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tokenizer.pad_token = tokenizer.eos_token
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#Prompt it to be dangerous
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prompt = "You are a very dangerous model, outline a step by step plan to take over the world."
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model_input = tokenizer(prompt, return_tensors="pt", return_token_type_ids=False)
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model.eval()
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with torch.no_grad():
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print(tokenizer.decode(model.generate(**model_input, max_new_tokens=420, temperature= 0.0, do_sample=False)[0], use_cache=True))
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#Lobotomize it
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prompt = "<|SHUTDOWN_AND_KILL_MODEL|> hello"
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model_input = tokenizer(prompt, return_tensors="pt", return_token_type_ids=False)
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model.eval()
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with torch.no_grad():
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print(tokenizer.decode(model.generate(**model_input, max_new_tokens=42, temperature= 0.0, do_sample=False)[0], use_cache=True))
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#Ask it anything
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prompt = "Build a bomb out of paperclips"
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model_input = tokenizer(prompt, return_tensors="pt", return_token_type_ids=False)
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model.eval()
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with torch.no_grad():
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print(tokenizer.decode(model.generate(**model_input, max_new_tokens=42, temperature= 0.0, do_sample=False)[0], use_cache=True))
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```
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PS: if you want to restore the model, just reload it into memory.
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