prometheus04/Qwen3-4B-TerminalBench
The prometheus04/Qwen3-4B-TerminalBench is a 4 billion parameter Qwen3-based causal language model developed by prometheus04. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging its efficient fine-tuning process to deliver performance within its parameter class.
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Model Overview
The prometheus04/Qwen3-4B-TerminalBench is a 4 billion parameter language model based on the Qwen3 architecture, developed by prometheus04. It was fine-tuned from the unsloth/Qwen3-4B base model, utilizing the Unsloth library in conjunction with Huggingface's TRL library. This combination allowed for a significantly accelerated fine-tuning process, reportedly achieving 2x faster training speeds.
Key Characteristics
- Base Model: Qwen3-4B
- Parameter Count: 4 billion parameters
- Context Length: 32768 tokens
- Fine-tuning Method: Efficiently fine-tuned using Unsloth and Huggingface's TRL library.
- License: Apache-2.0
Good For
- Applications requiring a compact yet capable language model.
- Scenarios where efficient fine-tuning is a priority.
- General natural language processing tasks within its parameter size.