README.md

---
language: en
license: apache-2.0
library_name: peft
tags:
  - gemma
  - peft
  - function-calling
  - lora
  - thinking
pipeline_tag: text-generation
model-index:
  - name: gemma-2-2B-it-thinking-function_calling-V0
    results: []
---
    
    # Function Calling Fine-tuned Gemma Model
    
    This is a fine-tuned version of google/gemma-2-2b-it optimized for function calling with thinking.
    
    ## Model Details
    - Base model: google/gemma-2-2b-it
    - Fine-tuned with LoRA for function calling capability
    - Includes "thinking" step before function calls
    
    ## Usage
    ```python
    from transformers import AutoModelForCausalLM, AutoTokenizer
    from peft import PeftModel, PeftConfig
    
    model_name = "sethderrick/gemma-2-2B-it-thinking-function_calling-V0"
    
    # Load the model
    config = PeftConfig.from_pretrained(model_name)
    model = AutoModelForCausalLM.from_pretrained(config.base_model_name_or_path)
    model = PeftModel.from_pretrained(model, model_name)
    
    # Load the tokenizer
    tokenizer = AutoTokenizer.from_pretrained(model_name)
    
    # Use for function calling
    # ...
    ```