llm.c
by Andrej Karpathy
Andrej Karpathy's bare-metal C training code — reference for compact ASR.
TL;DR
Andrej Karpathy's bare-metal C training code — reference for compact ASR.
Best for studying minimal training loops adaptable to small speech models. Pricing: free.
Category
Open source
License
—
Stars
—
Last push
—
Pricing
free
Platforms
Linux, macOS
What it is
A from-scratch C training loop. MIT.
Best for: Studying minimal training loops adaptable to small speech models.
Watch out for: Not an ASR engine.
Watch out for: Not an ASR engine.
Install / use
git clone https://github.com/karpathy/llm.c
Features
| Speaker diarization | No |
| Word-level timestamps | Yes |
| Streaming / real-time | No |
| Languages supported | 1 |
| HIPAA eligible | No |
llm.c vs Whipscribe
| Feature | llm.c | Whipscribe |
|---|---|---|
| Category | Open source | Transcription APIs |
| Pricing | free | free beta |
| Speaker diarization | No | Yes |
| Word timestamps | Yes | Yes |
| Streaming | No | No |
| Languages | 1 | 99 |
| Platforms | Linux, macOS | Web, API, MCP |
Alternatives to llm.c
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