Running a 180B Model on a Gaming Laptop: POCKET-Darwin-180B
说明与用途
180B 模型在配备8GB显存的游戏笔记本上运行,采用稀疏MoE、SSD流式和llama.cpp,实现离线、隔离环境下的部署。
问题
Deploying a 180‑parameter language model on a consumer gaming laptop with limited VRAM and system memory, while maintaining offline, air‑gapped operation.
结果
The model operates offline on a standard gaming laptop, demonstrating that 180B‑parameter inference is feasible without cloud infrastructure.
工作流
- 1. Quantize the 180B model weights for llama.cpp.
- 2. Store expert weights on SSD and configure SSD streaming.
- 3. Load the model into llama.cpp runtime on the laptop.
- 4. Run inference; only the active experts are streamed into VRAM and RAM per token.
证据
VIDRAFT released POCKET-Darwin-180B, a 180B-parameter model that runs on a consumer gaming laptop with 8GB of VRAM and 32GB of system memory.
Three ideas work together. Sparse Mixture of Experts, SSD streaming, and llama.cpp runtime.
The reported setup is a gaming laptop with 8GB of VRAM and 32GB of system memory, with weights streamed from SSD.
- 记录日期: 2026-10-08T02:40:48.230Z