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function_calling-phi-3-mini-4k_lora

function_calling-phi-3-mini-4k_lora is an SFT fine-tuned version of microsoft/Phi-3-mini-4k-instruct using a custom training dataset. This model was made with Phinetune

Process

  • Learning Rate: 1.41e-05
  • Maximum Sequence Length: 4096
  • Dataset: Inishds/function_calling
  • Split: train

πŸ’» Usage

!pip install -qU transformers
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

model = "Inishds/function_calling-phi-3-mini-4k_lora"
tokenizer = AutoTokenizer.from_pretrained(model)

# Example prompt
prompt = "Your example prompt here"

# Generate a response
model = AutoModelForCausalLM.from_pretrained(model)
pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
outputs = pipeline(prompt, max_length=50, num_return_sequences=1)
print(outputs[0]["generated_text"])
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