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.
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Model Details

Model Description

  • Developed by: Riccardo Andrea Izzo
  • Model type: Transformer-based language model
  • Language(s) (NLP): English
  • Finetuned from model [optional]: CodeLlama-7b-Instruct-hf

Model Sources [optional]

  • Repository: codellama/CodeLlama-7b-Instruct-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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