STACKQUADRANT

FareedKhan-dev/kimi-k3-in-c

Inference Engines

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

7.1
GitHub Metrics
Stars
9.1k
Forks
1.5k
Open Issues
4
Watchers
81
Contributors
10
Weekly Commits
0
Language
C
License
Apache-2.0
Last Commit
Oct 2, 2026
Created
Aug 1, 2026
Latest Release
v1.1.0
Release Date
Oct 2, 2026
Synced: Oct 18, 2026
Quality Scores
Documentation Qualityw: 20%
6.9

Has docs site (https://medium.com/@fareedkhandev/building-kimi-k3-in-c-to-run-a-2-8t-model-on-consumer-hardware-a5792cbf3b59). Description: 131 chars. Stars signal: 9,085. Contributors: 10. Score: 6.9/10

Community Healthw: 20%
6.8

Stars: 9,085. Contributors: 10. Watchers: 81. Forks: 1,483. Issue ratio: 0.0%. Score: 6.8/10

Maintenance Velocityw: 15%
7.4

Last commit: 15d ago. Weekly commits: 0. Latest release: v1.1.0. Score: 7.4/10

API Design & DXw: 20%
8.0

Stars/issues ratio: 2271. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 9,085 stars. Score: 8/10

Production Readinessw: 15%
5.7

Battle-tested: 9,085 stars. Peer review: 10 contributors. Versioned: v1.1.0. Licensed: Apache-2.0. Age: 0.2 years. Maintenance: last commit 15d ago. Score: 5.7/10

Ecosystem Integrationw: 10%
7.8

Fork interest: 1,483. Ecosystem: C. Integration-friendly: Apache-2.0. Adoption: 9,085 stars. Has web presence. Score: 7.8/10

Tags
avx2c99cpu-inferencedeep-learningfrom-scratchinference-enginekimi-k3linear-attentionllmllm-inference
Radar
Documentation Quality
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Maintenance Velocity
API Design & DX
Production Readiness
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