OSS Radar
FareedKhan-dev/kimi-k3-in-c
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. Why it matters: useful plumbing for shipping LLM-powered features.
GitHub description: 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.
Stars
9k
Last 24h
+123est.
Last 7 days
+864est.
Forks
1.5k
Star history (last 1 snapshot)
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est. means the star gain is estimated, not measured: until OSS Radar has collected enough daily snapshots for a repo, we use total stars ÷ days since creation (or extrapolate from the snapshots we do have). Estimates are replaced by measured deltas automatically as history builds up.
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[](https://ossradar.net/repo/FareedKhan-dev/kimi-k3-in-c)<a href="https://ossradar.net/repo/FareedKhan-dev/kimi-k3-in-c"><img src="https://ossradar.net/badge/FareedKhan-dev/kimi-k3-in-c" alt="Trending on OSS Radar"></a>About kimi-k3-in-c
FareedKhan-dev/kimi-k3-in-c is a C project in the LLM tooling category, created 2 months ago. It has 9k GitHub stars and 1.5k forks, and gained +864 stars over the last 7 days (early estimate), ranking #47 of 167 LLM tooling repos tracked by OSS Radar this week.
See more trending LLM tooling repos or the top AI repos this week.
- Language
- C
- Category
- LLM tooling
- Created
- Aug 1, 2026
- Last push
- Oct 2, 2026
- avx2
- c99
- cpu-inference
- deep-learning
- from-scratch
- inference-engine
- kimi-k3
- linear-attention
- llm
- llm-inference
- machine-learning
- memory-efficient
- mixture-of-experts
- moe
- mxfp4
- quantization
- simd
- systems-programming
- transformer
- zero-dependencies
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