01
Local-first
The public product story starts with local execution and no hidden network fallback.
Local model execution · C# runtime boundary
When your model needs somewhere to run.
Run GGUF and LLaMA-family models locally with a deterministic C# runtime path—strict model intake, explicit execution boundaries, and no hidden network fallback.
- Local-first
- Deterministic reference path
- Evidence-bounded claims
- Optional governance layer
model
local-model.gguf
Validate model filestrict
Map tensor databounded
Bind architecture semanticsexplicit
Run reference decodedeterministic
Return token outputlocal
What it is
A local runtime path you can reason about.
LMRuntime is positioned for developers who want model execution to remain inspectable: file intake, tokenizer behavior, tensor binding, reference decoding, optional acceleration, and governance stay separated instead of disappearing behind a wrapper.
02
Deterministic reference path
A slow, inspectable path is the correctness anchor before performance paths are promoted.
03
Evidence-bounded claims
The site separates planned, implemented, executed, measured, and released claims.
04
Governance outside the math path
Budgets, review gates, no-op decisions, and claim boundaries wrap orchestration without silently changing deterministic parity behavior.
Runtime path
From model file to generated token.
The public page uses a small pipeline instead of package manifests. Developers can understand the execution boundary first, then drill into technical notes when a public repository or package is ready.
01
Load
Open the local model file.
02
Validate
Reject unsupported or malformed structure.
03
Bind
Resolve architecture and tensor meaning.
04
Decode
Run a deterministic reference step.
05
Return
Expose token output and receipt state.
Find what you need
Clear pages instead of one long manifesto.
Overview
What LMRuntime is, who it is for, and what it is not.
Getting Started
Installation posture, sample flow, and current release gates.
Architecture
A concise map of the runtime boundary without private package manifests.
Evidence & Benchmarks
What is validated, what is not yet claimed, and how future benchmarks should be published.
Governance
Teleodynamic-inspired budgets, no-op decisions, review gates, and claim boundaries.
Security
Security disclosures, private-source posture, and hosting checks.
Engineering notes
Work in the open.
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Build the public path before expanding the claim surface.
The next release step is not more public internals. It is a clean quick start, repeatable validation, and a deliberate GitHub/NuGet posture.
LMRuntime.com — When your model needs somewhere to run.