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What you can do with Kimi K3 in C

A C99 inference engine that runs the 2.78-trillion-parameter Kimi K3 model on a single CPU with no GPU, streaming weights from disk when RAM is small.

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FareedKhan-dev/kimi-k3-in-c on GitHub

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What do you want to do?

4 use cases

  • Run Kimi K3 text completions on an 8 GB laptop

    Generate a short continuation with the full 2.78T model on one CPU, streaming weights from disk.

    View prompt
    In the repo FareedKhan-dev/kimi-k3-in-c, run the laptop preset with --trunk <trunk_dir> and checkpoint directory <checkpoint_dir>, using the prompt "The capital of France is" and --gen 8 --incremental. Expect generated text and a PEAK RSS line. Verify that the reported peak RSS stays near 8.24 GB.

  • Chat with Kimi K3 offline and save the transcript

    Run multi-turn chat with the official XTML format on your own CPU, saved to a JSONL file.

    View prompt
    In the repo FareedKhan-dev/kimi-k3-in-c, start the --chat REPL with --history <history_file> and --incremental. Send one user message and expect an assistant reply. Verify that the history file contains a user record and an assistant record in JSONL form.

  • Check that output stays identical across memory presets

    Run the same prompt on a small and a large preset and compare the generated text.

    View prompt
    In the repo FareedKhan-dev/kimi-k3-in-c, run the same prompt with the laptop preset and the server preset, using --incremental. Expect two generated text blocks with timing lines. Verify that the generated text is byte-identical between the two runs.

  • Export routed-expert cache traces for analysis

    Dump expert usage traces from a run so the included cache simulator can replay them.

    View prompt
    In the repo FareedKhan-dev/kimi-k3-in-c, run a short generation with --dump-cache-trace <trace_dir> and --incremental. Expect expert_hist.json and expert_trace.bin in that directory. Verify both files exist and are non-empty before replaying them with tools/sim_cache.py.

How to use Kimi K3 in C

  1. Check you have what it needs: A checkpoint directory of .safetensors shards (1.56 TB on disk for the released checkpoint); A packed trunk directory, created in a step the README excerpt does not show; tiktoken.model and tokenizer_config.json in a directory, for text input.
  2. Open FareedKhan-dev/kimi-k3-in-c on GitHub and read the README and license.
  3. Build the engine from the repo with a C99 compiler. (inferred, check the README)
  4. Download the checkpoint with download-model.sh, with HF_TOKEN set in the environment. (inferred, check the README)
  5. ./bin/k3 --list-presets
  6. ./bin/k3 ~/k3model --trunk ~/k3trunk --preset laptop --tok ~/k3model --prompt "The capital of France is" --gen 8 --incremental

These steps come from our top use case, Run Kimi K3 text completions on an 8 GB laptop, which also has a copy-paste agent prompt.

Kimi K3 in C alternatives · Best AI repos for Research

About this repo

Requirements

  • A checkpoint directory of .safetensors shards (1.56 TB on disk for the released checkpoint)
  • A packed trunk directory, created in a step the README excerpt does not show
  • tiktoken.model and tokenizer_config.json in a directory, for text input
  • A machine with a C toolchain for the portable C99 build (build steps are not in the excerpt)
  • An HF_TOKEN environment variable if you use download-model.sh
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Questions about Kimi K3 in C

What is Kimi K3 in C?

A C99 inference engine that runs the 2.78-trillion-parameter Kimi K3 model on a single CPU with no GPU, streaming weights from disk when RAM is small. It is an open-source project on GitHub: https://github.com/FareedKhan-dev/kimi-k3-in-c.

Who is Kimi K3 in C for?

Researchers, engineers and hobbyists who want to run a very large model locally on ordinary CPU hardware and accept slow token speeds.

What can I do with Kimi K3 in C?

4 use cases so far, for example: Run Kimi K3 text completions on an 8 GB laptop; Chat with Kimi K3 offline and save the transcript; Check that output stays identical across memory presets. Each has steps and a copy-paste agent prompt.

What do I need to run Kimi K3 in C?

A checkpoint directory of .safetensors shards (1.56 TB on disk for the released checkpoint); A packed trunk directory, created in a step the README excerpt does not show; tiktoken.model and tokenizer_config.json in a directory, for text input; A machine with a C toolchain for the portable C99 build (build steps are not in the excerpt).

What are alternatives to Kimi K3 in C?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Kimi K3 in C safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.