GraphCanon updated Aug 14, 2026 · GitHub synced Aug 14, 2026
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Decision brief
Specializes in high-performance local Large Language Model inference and fine-tuning on Apple Silicon hardware using MLX/Metal.
Good fit when
- For optimal performance on Apple M1-M5 series, when leveraging GPU and ANE for LLMs is crucial.
- If Rust integration or Metal acceleration is required.
Avoid when
- Avoid if support for Nvidia GPUs or Intel CPUs is needed.
- Not suitable when flexibility in language models exceeds pmetal's capabilities with only specific transformer models supported natively.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (70d since push)
- As of Aug 14, 2026
- Provenance
- Not a fork · Organization account
- As of Aug 14, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add pmetalSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PMetal offers high-performance local Large Language Model (LLM) inference, LoRA/QLoRA fine-tuning, serving, quantization, and uses MLX/Metal acceleration on Apple Silicon chips.
Capability facts
- Languages
- rust
Source: github.language · Aug 14, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 14, 2026)
```python import pmetalSource link
Tags
README
Quick Start (Easy API) bash git clone https://github.com/epistates/pmetal.git && cd pmetal cargo build release CLI + TUI cd crates/pmetal gui && bun install && bun tauri build GUI (optional) `` sysctl hw.packages docs/hardware support.md TrainingCallback on step start on step end...
For agents
This page has a .md twin and JSON over the API.