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pmetal tui

Launch the terminal UI: a full control center with 20 workspaces for device inspection, data preparation, training, serving, model operations, benchmarking, evaluation, and job monitoring.

Terminal window
pmetal tui
TabDescription
DeviceGPU/ANE info, Metal feature detection, memory gauge, kernel tuning, UltraFusion topology
ModelsBrowse cached models, HuggingFace Hub search (S), memory fit estimation, download
DatasetsScan and preview local datasets (JSONL, Parquet, CSV) with line counts
TokenizeConvert JSONL text corpora into binary shards for full pretraining
TrainingConfigure and launch SFT/LoRA/QLoRA training runs with sectioned parameter forms
EmbedTrainConfigure sentence embedding fine-tuning with contrastive losses
PretrainConfigure full-parameter pretraining from tokenized shards
DistillationConfigure knowledge distillation (online, offline, progressive)
RLKDConfigure reinforcement learning with knowledge distillation
GRPOConfigure GRPO/DAPO reasoning training with reward functions and sampling params
MonitorLive loss curves, LR schedule, throughput sparklines, timing breakdown gauges
InferenceInteractive chat interface with markdown rendering and generation settings sidebar
DFlashConfigure block-diffusion speculative decoding
ServeConfigure an OpenAI-compatible server with KV cache and batching options
QuantizeExport GGUF/MLX quantized models
MergeConfigure multi-model merge jobs
BenchConfigure training, inference, and workload benchmarks
EvalConfigure perplexity/evaluation runs
ModelfileGenerate Ollama Modelfiles and exports
JobsJob history with log viewer, status tracking, and metadata
KeyAction
Tab / Shift+TabSwitch tabs
Alt+1-9Jump to tab directly
Ctrl+1-9Jump to tab directly on terminals that do not emit Alt-number
?Show contextual help
LAdjust learning rate mid-run
SSearch HuggingFace Hub (Models tab)
qQuit