{"data":{"slug":"moonshotai-kimi-k2","name":"Kimi-K2","tagline":"Large language model series developed by Moonshot AI team","github_url":"https://github.com/MoonshotAI/Kimi-K2","owner":"MoonshotAI","repo":"Kimi-K2","owner_avatar_url":"https://avatars.githubusercontent.com/u/129152888?v=4","primary_language":null,"stars":10896,"forks":865,"topics":[],"archived":false,"github_pushed_at":"2026-01-21T05:33:12+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/moonshotai-kimi-k2","markdown_url":"https://www.graphcanon.com/tools/moonshotai-kimi-k2.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/moonshotai-kimi-k2","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=moonshotai-kimi-k2","description":"Kimi K2 is the large language model series developed by Moonshot AI team","homepage_url":null,"license":"Other","open_issues":70,"watchers":92,"ai_summary":"Kimi K2 is a series of large language models created by the Moonshot AI team, offering an API compatible with OpenAI and Anthropic interfaces.","readme_excerpt":"## 4. Deployment\n> [!Note]\n> You can access Kimi K2's API on https://platform.moonshot.ai , we provide an OpenAI/Anthropic-compatible API for you.\n>\n> The Anthropic-compatible API maps temperature by `real_temperature = request_temperature * 0.6` for better compatiblity with existing applications.\n\nOur model checkpoints are stored in block-fp8 format, you can find it on [Huggingface](https://huggingface.co/moonshotai/Kimi-K2-Instruct).\n\nCurrently, it is recommended to run Kimi-K2 on the following inference engines:\n\n* vLLM\n* SGLang\n* KTransformers\n* TensorRT-LLM\n\nDeployment examples for vLLM and SGLang can be found in the [Model Deployment Guide](docs/deploy_guidance.md).\n\n---\n\n---\n\n## 6. License\n\nBoth the code and the model weights are released under the [Modified MIT License](LICENSE).\n\n---","github_created_at":"2025-07-03T12:28:22+00:00","created_at":"2026-07-11T10:30:19.342666+00:00","updated_at":"2026-07-12T07:01:35.07143+00:00","categories":[{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"vllm","name":"vllm"},{"slug":"sglang","name":"sglang"},{"slug":"moonshot-ai","name":"moonshot ai"},{"slug":"tensorrt-llm","name":"tensorrt-llm"},{"slug":"api-accessible","name":"api accessible"},{"slug":"openai-compatible","name":"openai-compatible"},{"slug":"ktransformers","name":"ktransformers"},{"slug":"anthropic-compatibility","name":"anthropic-compatibility"}],"trust":{"provenance":{"is_fork":false,"github_id":1013143108,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-12T06:00:51.103Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":172,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:30:23.650Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T06:00:54.963Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-07-12T06:00:54.963Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"unknown","summary":"N/A"},"requirements":{"notes":["Model deployment examples are available for vLLM and SGLang, aiding in setup and integration."],"requires_docker":false},"constraints":{"pricing_model":"unknown","requires_docker":false},"when_to_use":["- When looking to deploy models on specific inference engines like vLLM or SGLang which are well-supported for Kimi K2.","- If you require the unique temperature mapping feature of `real_temperature = request_temperature * 0.6` specifically to maintain compatibility with Anthropic applications without extensive code re-w"],"when_not_to_use":["- Avoid using it if your application strictly requires a different model format that isn't supported by Kimi K2 (currently block-fp8).","- Do not use this tool if you are dependent on running inference outside of the recommended engines, as compatibility and performance may be compromised without specific support."],"source":"enrich:decision_facts","observed_at":"2026-07-11T11:04:46.349Z"},"constraint_facets":{"pricing_model":"unknown","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"unknown - N/A"},{"label":"Requirements","value":"Model deployment examples are available for vLLM and SGLang, aiding in setup and integration."},{"label":"Adopt for","value":"Kimi K2, developed by Moonshot AI team, brings a large language model series providing an API compatible with OpenAI and Anthropic interfaces."},{"label":"License detail","value":"The code and model weights of Kimi K2 are released under a Modified MIT License."}]}}