Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.8")
model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.8", device_map="auto")Quick Links
MFANN 8b version 0.8
fine-tuned on the MFANN dataset as it stands on 5/5/2024 as it is an ever expanding dataset
fine-tuned MFANN dataset on llama-3-8b
68.52 <- Average 63.23 <- ARC 84.06 <- HellaSwag 66.94 <- MMLU 59.91 <- TruthfulQA 72.45 <- WinoGrande 64.52 <- GSM8K
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.8")