Kimi K3 Mlx
The kimi-k3-mlx tool is a streaming converter, REAP expert pruning, and per-language expert-overlap analysis for the 2.78T multimodal MoE model, allowing for efficient processing and analysis of large datasets
- •When you need to process and analyze large multimodal datasets
- •When you want to prune experts for more efficient model deployment
- •When you need to perform per-language expert-overlap analysis
python -m kimi_k3_mlx.convert --input-path /path/to/input --output-path /path/to/output
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/kimi-k3-mlx && curl -fsSL https://workflowstacks.com/api/skills/kimi-k3-mlx/claude-skill -o ~/.claude/skills/kimi-k3-mlx/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/kimi-k3-mlx && curl -fsSL https://workflowstacks.com/api/skills/kimi-k3-mlx/claude-skill -o ~/.claude/skills/kimi-k3-mlx/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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