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---
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]
<!-- Provide the basic links for the model. -->
- **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
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