tenstorrent/tt-metal
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
About the project
TT-NN neural network operator library in Python and C++, plus TT-Metalium low-level kernel programming model for Tenstorrent accelerators (Wormhole, Blackhole).
Useful for
- Run the Llama 3.3 70B demo on Galaxy with tensor parallelism TP=32
- Write and build a simple compute kernel in TT-Metalium from the Hello World examples
- Analyze model execution with TT-NN Visualizer using memory and operation graphs
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 1 star so far today, about 1 expected by the end of the day.
- GitHub Trending C++ today: #21, +5 stars.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 1,684
- Stars in a day
- 1
- Forks
- 694
- Issues and pull requests
- 56,642
- Watchers
- 20
- Language
- C++
- License
- Apache-2.0
- Latest release
- v0.79.0-rc2 · September 18, 2026
- Created
- February 13, 2023
- Last push
- September 18, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026GitHub Trending C++ today: #21, +5 stars
Similar projects
-
8.6
TheoLeeCJ/SemIf
An open reproduction of the Jev-style semantic decision interface: reads typed option probabilities directly from a 4B model's logits without generating text. Runs on a single RTX 3090.
-
7.1
vinnylarouge/jevlike
A small trainable model that picks one option from a changing list of text options in a single forward pass, an open alternative to TypeSafe's Jev. Aimed at developers who need fast classification or menu selection…
-
6.9
Continuum-AI-Corp/OrcaBonsai-27B-Uncensored
A tool for runtime refusal ablation in the compressed Ternary Bonsai 2 27B LLM: it projects the residual stream to remove the refusal direction without modifying or re-quantizing weights. Runs on Apple Silicon via MLX.
-
6.4
TianyuCodings/NanoJev
A nano replica of Jev built on Qwen3-0.6B that outputs probability distributions over candidates in a single forward pass with no token decoding, plus a training pipeline and game demos (maze, Snake).
-
6.3
zhengkid/Dream-RSI
Research project on recursive self-improvement: past discovery histories become a replay simulator used to evaluate and refine exploration policies. Code is still being prepared; paper and demo are available.
-
5.0
ekzhang/openjev-sglang
HTTP server implementing the TypeSafe/Jev API for structured text classification on Qwen3.6-35B-A3B via SGLang; returns answer probabilities without generating a chain of thought.