netcat420/MFANN
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How to use netcat420/MFANN3bv0.7 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="netcat420/MFANN3bv0.7") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANN3bv0.7")
model = AutoModelForCausalLM.from_pretrained("netcat420/MFANN3bv0.7", device_map="auto")MFANN 3b version 0.7
fine-tuned on the MFANN dataset as it stands on 5/5/2024 as it is an ever changing and expaning dataset.
62.98 <- Average 61.69 <- ARC 75.98 <- HellaSwag 55.4 <- MMLU 53.49 <- TruthfulQA 77.66 <- Winogrande (this models strong-suit) 53.68 <- GSM8K
this model is completely uncensored