# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("ericpolewski/Marxish")
model = AutoModelForCausalLM.from_pretrained("ericpolewski/Marxish")Quick Links
This is a frankensteined Marx3b-v2 model (https://huggingface.co/acrastt/Marx-3B-V2)
It is approximately 7.1b. Just testing things out.
bfloat16
Used the same model 4 times. I fine-tuned it at r 256 but used the wrong alpaca format so I'll need to re-upload that merged model.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ericpolewski/Marxish")