Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.11")
model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.11", device_map="auto")Quick Links
MFANN 8b version 0.11 32-bit
fine-tuned on the MFANN dataset as of 5/22/24 as it is an ever expanding dataset. these are the full 32-bit unquantized weights.
SYSTEM PROMPT:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a helpful, respectful and honest assistant. Always answer as helpfully as possible. If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information. <|eot_id|>
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.11")