---
type: "raw_signal"
id: "kimi-k3-in-c-a-2-78-trillion-66dcb1"
slug: "kimi-k3-in-c-a-2-78-trillion-66dcb1"
title: "kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM"
description: "The public GitHub repository `FareedKhan-dev/kimi-k3-in-c` presents an Apache-2.0, portable C99 inference engine for Kimi K3."
retrieval_nugget: "The public GitHub repository `FareedKhan-dev/kimi-k3-in-c` presents an Apache-2.0, portable C99 inference engine for Kimi K3."
observed_at: "2026-09-28"
record_date: "2026-09-28"
date_kind: "observed_at"
why_it_matters: "Source: https://github.com/FareedKhan-dev/kimi-k3-in-c"
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "github.com"
topics: []
entities: []
related_patterns: []
source_url: "https://github.com/FareedKhan-dev/kimi-k3-in-c"
source_urls: ["https://github.com/FareedKhan-dev/kimi-k3-in-c"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:kimi-k3-in-c-a-2-78-trillion-66dcb1"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/kimi-k3-in-c-a-2-78-trillion-66dcb1/","markdown":"https://newruntime.com/signals/kimi-k3-in-c-a-2-78-trillion-66dcb1.md","json":"https://newruntime.com/signals/kimi-k3-in-c-a-2-78-trillion-66dcb1.json"}
---

# kimi-k3-in-c: A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM

## Retrieval answer

The public GitHub repository `FareedKhan-dev/kimi-k3-in-c` presents an Apache-2.0, portable C99 inference engine for Kimi K3.

The public GitHub repository `FareedKhan-dev/kimi-k3-in-c` presents an Apache-2.0, portable C99 inference engine for Kimi K3. Its repository description says it runs inference for a 2.78-trillion-parameter Kimi K3 model on a single CPU in 8.24 GB of RAM, with no BLAS dependency, framework, or GPU requirement. The repository includes source, benchmarks, tests, examples, and build files; the supplied source snapshot also shows 8.7k stars and 1.4k forks.

Source: https://github.com/FareedKhan-dev/kimi-k3-in-c

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- collection: [Raw Signals](https://newruntime.com/signals.json): Open every source-linked raw signal.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)
