Developer Releases `llm-training-panel` for Local Fine-Tuning with Real-Time Visualization on AMD ROCm

Developer /u/Honest-Fun-5279 released `llm-training-panel`, an open-source local web UI for fine-tuning and continued pretraining of language models on custom text datasets. The tool features real-time visualization of per-parameter gradient activity during training and works on Linux with explicit support for AMD ROCm GPUs. Most open-source AI fine-tuning tools are optimized exclusively for NVIDIA's CUDA platform, leaving AMD GPU users with limited options. By providing native AMD ROCm support alongside real-time training analytics and side-by-side output evaluation, this tool makes local model customization more accessible and transparent. `llm-training-panel` supports loading models from local directories or Hugging Face repository IDs and features built-in prompt A/B testing to compare base versus fine-tuned outputs. It also includes automated evaluation tools that score memory recall and verbatim text overlap against designated probe files.