From the model card
Fields below are copied from the tags and counters on the HuggingFace repository moonshotai/Kimi-K3 at our last fetch. They are set by the uploader, not verified by us; rows with no tag are omitted. How this page is made.
- Publisher (HF namespace)
- moonshotai
- Pipeline tag
- image-text-to-text
- Library
- Transformers
- Weight formats
- safetensors
- License tag
other— read the license file in the repo before relying on it- Downloads (HF counter at last fetch)
- 2,617,373
- Likes (HF counter at last fetch)
- 11,177
- Model card
- https://huggingface.co/moonshotai/Kimi-K3
Use cases
- Complex visual reasoning over charts, scientific figures, and structured documents
- Multi-turn image-grounded dialogue and question answering
- Long-context document understanding with embedded images
- Benchmark evaluation of frontier-class open-weight multimodal models
Pros
- High community adoption — over 9,000 likes reflects broad real-world testing and validation
- Transformers-based architecture integrates with standard HuggingFace inference pipelines
- Covers both image comprehension and text reasoning without separate specialist models
Cons
- Non-standard license requires checking Moonshot AI's commercial terms before deployment
- Exact parameter count and hardware requirements require checking the full model card
- Moonshot's primary documentation and release notes are in Chinese
Tags
transformerssafetensorskimi_k3feature-extractioncompressed-tensorsconversationalimage-text-to-textcustom_codelicense:othereval-results8-bitregion:us