MoonshotAI/Kimi-K2 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

11105 stars · 908 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Kimi K2 is Moonshot AI's open-weight mixture-of-experts large language model series with 1 trillion total parameters (32B activated), optimized for agentic tool use, reasoning, and coding. The repository hosts model documentation, weights links, and inference examples for the Base and Instruct variants.

Use cases

• download and run an open-weight trillion-parameter MoE LLM
• build autonomous agents with strong tool-use capabilities
• fine-tune a foundation model for custom applications
• serve a chat model for general-purpose assistant experiences
• research large-scale MoE training with the Muon optimizer

When to choose

• you need frontier-level open weights for agentic or coding tasks
• you have GPU infrastructure to serve a 1T-parameter MoE model
• you want a base model for full fine-tuning control

When to avoid

• you lack the hardware to host a trillion-parameter model
• you need a small model for local or edge deployment
• you need a permissively licensed model without restrictions (license is modified MIT)

Facets

learning-resource · maturity active

llm-inference llm-training agent-framework machine-learning large-language-models artificial-intelligence deep-learning python cloud mixture-of-experts open-weights moonshot-ai agentic-intelligence model-weights huggingface ai-agents gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="MoonshotAI/Kimi-K2")