The penfever/nl2bash-1k-traces-restore-hp model is an 8 billion parameter language model, fine-tuned from Qwen/Qwen3-8B. Developed by penfever, this model specializes in natural language to bash command translation. It was trained on the DCAgent/nl2bash-1k-traces dataset, making it particularly adept at interpreting natural language queries and generating corresponding bash scripts.
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Overview
This model, nl2bash-1k-traces-restore-hp, is a specialized 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has been fine-tuned by penfever specifically on the DCAgent/nl2bash-1k-traces dataset. The primary objective of this fine-tuning is to enhance its capability in translating natural language instructions into executable bash commands.
Key Capabilities
- Natural Language to Bash Translation: Optimized for converting user queries in natural language into appropriate bash shell commands.
- Specialized Training: Benefits from targeted training on a dataset designed for NL2Bash tasks, improving accuracy and relevance for command generation.
Training Details
The model underwent training with a learning rate of 4e-05 over 6 epochs, utilizing a multi-GPU setup with 16 devices and a total batch size of 16. The optimizer used was ADAMW_TORCH_FUSED with a cosine learning rate scheduler.
Good For
- Automating Command Line Tasks: Ideal for applications requiring the automatic generation of bash commands from natural language input.
- Developer Tools: Can be integrated into tools that assist developers in quickly finding and executing shell commands without needing to recall exact syntax.