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heegyu/
WizardVicuna-pythia-410m-deduped

Name: WizardVicuna-pythia-410m-deduped
Availability: InStock

heegyu/wizard_vicuna_70k_v2

autotrain_compatible

text-generation-inference

endpoints_compatible

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Hyperparameters

3 epoch
1e-4 -> 1e-5 with cosine lr decay
batch size 128
max sequence length 2048
AdamW(weigth decay=0.01, b1=0.9, b2=0.99, grad_clip=1.0)
no warmup
BF16

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("heegyu/WizardVicuna-pythia-410m-deduped")
model = AutoModelForCausalLM.from_pretrained("heegyu/WizardVicuna-pythia-410m-deduped")

inputs = tokenizer(["Human: Hi\n\nAssistant: "], return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=16)
print(tokenizer.batch_decode(outputs, skip_special_tokens=False))

output: ['Human: Hi\n\nAssistant: Hello! How can I assist you today?<|endoftext|>']