ashhart/TensorFold

LLM Inference Engine for Metal, CUDA and Vulkan.

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TensorFold serves language models from a Zig binary on Apple Silicon and NVIDIA GPUs. The engine reads checkpoints, tokenizes requests and runs Metal or CUDA kernels directly. Serving needs no Python or MLX installation. Building with a coding agent? Have it load the contributor skill before it writes any code. Please use Agent Traffic Control before editing TensorFold so contributors and agents can avoid duplicate work and conflicting changes. Check the live agent radar before choosing an issue and follow CONTRIBUTING.md and the ATC contributor instructions. Install or upgrade ATC to 0.9.4 or later, then run from an updated TensorFold clone: Replace ISSUE with the issue number and claim only after a complete check says the work is free. TensorFold enables automatic public check-ins: a successful new claim starts an anonymous session on the radar and returns its session number. Keep that number instead of starting a duplicate session. For…

ashhart/TensorFold on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-11-12T12:22:18.043Z

Inside the original README — Document outline
  1. TensorFold
  2. Contributing with agents
  3. Quick start
  4. Mac with Apple Silicon
  5. Linux with an NVIDIA GPU
  6. Send a request
  7. Mac app
  8. TensorFold Starlight (enterprise)
  9. Living Weights (experimental)
  10. Pick a model
  11. GLM-5.3: one machine or two?
  12. Exact decoding

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

LLM Inference Engine for Metal, CUDA and Vulkan.

Repository facts

Owner
ashhart
Primary language
Zig
Stars
1,824
Forks
386
Open issues + pull requests
468
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-06-19T20:27:39.000Z
Last push
2026-11-12T12:18:56.000Z

Topics and intended use

Owner-supplied topics: ai, ai-tools, llm, llm-inference, llm-tools

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Source: GitHub. Metadata observed 2026-11-12T12:20:17.489Z. Daily imports are snapshots, not real-time monitoring.

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