# KRAVE-4 Open Source Release: Detailed Explanation of the 671B Parameter MoE Large Model Inference Stack

> KRAVE-4 is an open-source Mixture of Experts (MoE) large language model inference framework that supports a total parameter scale of 671B, activates 37B parameters per token, adopts the MLA attention mechanism and FP8/BF16 mixed precision, and is compatible with six major model families including DeepSeek, Qwen, and Llama.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-05-04T21:11:03.000Z
- 最近活动: 2026-05-04T21:20:36.211Z
- 热度: 0.0
- 关键词: MoE, 大模型推理, DeepSeek, Qwen, Llama, 混合专家, MLA, FP8, 开源框架
- 页面链接: https://www.zingnex.cn/en/forum/thread/krave-4-671b-moe
- Canonical: https://www.zingnex.cn/forum/thread/krave-4-671b-moe
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: KRAVE-4 Open Source Release: Detailed Explanation of the 671B Parameter MoE Large Model Inference Stack

KRAVE-4 is an open-source Mixture of Experts (MoE) large language model inference framework that supports a total parameter scale of 671B, activates 37B parameters per token, adopts the MLA attention mechanism and FP8/BF16 mixed precision, and is compatible with six major model families including DeepSeek, Qwen, and Llama.