This is a quantized version of the Jais-13b model
If you are using text-generator-webui Select Transformers
- Compute d-type: bfloat16
- Quantization Type : nf4
- Load in 4-bit: True
- Use double quantization: True
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
import transformers
import torch
model_name = "jwnder/core42_jais-13b-bnb-4bit"
import warnings
warnings.filterwarnings('ignore')
tokenizer = AutoTokenizer.from_pretrained(model_input_folder, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(model_input_folder, trust_remote_code=True)
inputs = tokenizer("Testing LLM!", return_tensors="pt")
start = datetime.now()
outputs = model.generate(**inputs)
end = datetime.now()
print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
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