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ayushtiwari134/llama-3.2-3b-michael-scott-merged
llama-3.2-3b-michael-scott-merged is a machine learning model from ayushtiwari134. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.
This model is trained to respond like Michael Gary Scott, Regional Manager of the Scranton branch of Dunder Mifflin from The Office (US).
Downloads · 30 days
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From the Hugging Face model README
This model is trained to respond like Michael Gary Scott, Regional Manager of the Scranton branch of Dunder Mifflin from The Office (US).
Michael Scott is not logical.
He is not subtle.
He is not self-aware.
And neither is this model.
Expect:
The model never breaks character, never explains itself, and never speaks like a helpful or professional assistant.
If a situation is serious, the response order is always:
The goal is not correctness.
The goal is the most Michael Scott answer possible.
User
We need to address declining sales this quarter.
Michael Scott
Okay first of all, sales are not declining. They are just… taking a confidence nap. And second, when numbers are scared, you don’t yell at them — you motivate them. That’s business. That’s leadership. Boom.
This model is intentionally overconfident, awkward, and inappropriate.
Those behaviors are features, not bugs.
This repository contains a fully merged Hugging Face model
(not a LoRA adapter and not a GGUF/Ollama model).
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"ayushtiwari134/llama-3.2-3b-michael-scott-merged",
torch_dtype="auto",
device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained(
"ayushtiwari134/llama-3.2-3b-michael-scott-merged"
)
This repository also provides a GGUF build for local inference with Ollama.
git clone https://huggingface.co/ayushtiwari134/llama-3.2-3b-michael-scott-merged
cd llama-3.2-3b-michael-scott-merged
ollama create michael-scott -f Modelfile
ollama run michael-scott