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README.md
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license: apache-2.0
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---
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```py
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#https://huggingface.co/docs/peft/quicktour
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from transformers import AutoTokenizer
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import torch
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model = AutoPeftModelForCausalLM.from_pretrained("Sentdex/Walls1337bot-Llama2-7B-003.004.
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tokenizer = AutoTokenizer.from_pretrained("NousResearch/Llama-2-7b-chat-hf")
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model = model.to("cuda")
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license: apache-2.0
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datasets:
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- Sentdex/WSB-003.004
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Probably don't use this model, I'm just tinkering, but it's a multi-turn, multi-speaker model attempt trained from /r/wallstreetbets data that you can find: https://huggingface.co/datasets/Sentdex/WSB-003.004
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```py
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#https://huggingface.co/docs/peft/quicktour
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from transformers import AutoTokenizer
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import torch
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model = AutoPeftModelForCausalLM.from_pretrained("Sentdex/Walls1337bot-Llama2-7B-003.004.500")
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tokenizer = AutoTokenizer.from_pretrained("NousResearch/Llama-2-7b-chat-hf")
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model = model.to("cuda")
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