Model deep dive·
Run Kimi K3: Moonshot's 2.8T Open MoE for Agents and Coding
Kimi K3 is a 2.8T-parameter open-weight multimodal MoE with a 1M-token context. What the model card says and how to call it.
moonshotai/Kimi-K3
Kimi K3 is a 2.8T-parameter open-weight multimodal MoE with a 1M-token context. What the model card says and how to call it.
moonshotai/Kimi-K3
NeoHorse-1-4B is a text-only Qwen3.5-4B fine-tune for agent harnesses, tool use and coding. Here is how to serve it with SGLang or vLLM.
TokenRhythm/NeoHorse-1-4B
Qwen3.8-27B is an Apache-2.0 dense 27B vision-language model with adjustable reasoning. How to serve it and call it today.
Qwen/Qwen3.8-27B
China Telecom's 29B MoE activates 4B parameters per token and has a 256K context. Here's how to call it through an OpenAI-compatible API.
XingChen-AGI/Xing4.0-29B-A4B