SSBOfficial/Kimi-K3
image-text-to-text model by SSBOfficial
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Model card & documentation
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📰 Tech Blog | 📄 Full Report Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. It is a 2.8T-parameter model built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), with native vision capabilities and a 1-million-token context window. It is the world's first open 3T-class model, designed for frontier intelligence across long-horizon coding, knowledge work, and reasoning. Architecture Mixture-of-Experts (MoE) Total Parameters 2.8T Activated Parameters 104B Number of Layers 93 Number of Dense Layers 1 Attention-Layer Composition 69 KDA + 24 Gated MLA Attention Hidden Dimension 7168 Number of Attention Heads 96 Latent MoE Dimension 3584 MoE Hidden Dimension (per Expert) 3072 Number of Experts 896 Selected Experts per Token 16 Number of Shared Experts 2 Vocabulary Size 160K Context Length 1048576 Attention Mechanism KDA & Gated MLA Activation Function SiTU-GLU Vision Encoder MoonViT-V2 Parameters of Vision Encoder 401M Quantization MXFP4 weights…
Read the full model card ↗ · Preview checked 2026-10-31T18:56:28.216Z
Inside the original model card — Document outline
- 1. Model Introduction
- Key Features
- 2. Model Summary
- 3. Evaluation Results
- 4. Native MXFP4 Quantization
- 5. Deployment
- 6. Model Usage
- Coding Agent Framework
- 7. License
- 8. Contact Us
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Model overview
SSBOfficial/Kimi-K3 is a image-text-to-text model repository published by SSBOfficial on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 2,779,931,837,184
- Architecture
- KimiK3ForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-18T06:31:43.000Z
- Last modified
- 2026-10-18T06:31:44.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:43:02.030Z. Daily imports are snapshots, not real-time monitoring.
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