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---
language: en
license: apache-2.0
tags:
- merged
- lora
- text-generation
---
# llama-3b-instruct-ft-function-call
This model is a merged version of the base model [meta-llama/Llama-3.2-3B-Instruct] with the following LoRA adapter(s):
- /home/ubuntu/zona/decision-step-model/train/mar16_sembalanced_data
## Description
## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "matt-bcny/llama-3b-instruct-ft-function-call"
# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
# Example inference
prompt = "Your prompt here"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_length=100)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)
```
## Model creation
This model was created by merging the base model with LoRA adapter(s) on 2025-03-17.
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