---
library_name: peft
base_model: meta-llama/Llama-2-7b-chat-hf
---

LoRA adapter release for the paper **BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs**, currently in submission at **IEEE/RSJ International Conference on Intelligent Robots and Systems**.  
[`GitHub Repository`](https://github.com/AIRLab-POLIMI/BTGenBot)  
[`Paper `](https://arxiv.org/abs/2403.12761)

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->



## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Riccardo Andrea Izzo
- **Model type:** Transformer-based language model
- **Language(s) (NLP):** English
- **Finetuned from model [optional]:** Llama-2-7b-chat-hf

### Model Sources [optional]

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- **Repository:** meta-llama/Llama-2-7b-chat-hf

## Uses

Behavior trees generation for robotic tasks

## Hardware infrastructure

- **Hardware Type:** 2x NVIDIA Quadro RTX 6000
- **Hours used:** 36h


## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32

### Framework versions


- PEFT 0.6.0