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来自Redis的创建者;使用ds 4在本地运行LLM

原文标题 · From the creator of Redis; run LLM locally with ds4
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Run frontier open weights locally with ds4.

DwarfStar 4 is a narrow C inference engine for high-memory Mac, CUDA and ROCm machines. It supports DeepSeek V4 and V4.1 Flash, GLM 5.x and Qwen3.8 Flash Next, with text and vision models, local APIs, a CLI and a native agent in one stack.

SUPPORTED: DEEPSEEK V4 / V4.1 + GLM 5.x + QWEN3.8 · MIT LICENSE · C / METAL / CUDA / ROCM · QWEN ON 64GB

A 284-billion-parameter star

DeepSeek V4 Flash is a large mixture-of-experts model. The usual path is remote serving; ds4 starts from the opposite constraint.

Compressed, not lobotomized

Asymmetric quantization targets the routed experts while preserving critical paths. The model becomes practical on high-memory machines.

Dense, resident, yours

The local engine exposes a CLI, HTTP APIs and a native agent, all sharing the same model state and cache.

Asymmetric 2-bit quantization

Compress the routed experts, keep critical shared paths precise. That is how the supported routed-MoE builds fit their target machines.

KV cache as a disk citizen

Save long prefixes to SSD and resume by prompt hash. Restarts do not have to mean full re-prefill.

One engine, three interfaces

Use ./ds4 for chat, ./ds4-server for local APIs and ./ds4-agent for persistent coding sessions.

RUNTIME MAP · SIMPLIFIED. SEE ARCHITECTURE NOTES FOR THE FULL DRAWING.

V4 Flash Q2 is the baseline. At 128 GB, GLM 5.3 Q2 and Qwen Q4 also fit; V4.1 Q2 streams from SSD.

./download_model.sh ds4f-q2 && make

REF · M5 MAX 128GB · 32K CTX: 34.4 T/S GEN · 557 T/S PREFILL

Estimates from the ds4 benchmark table . Full guide in Hardware and Installation .

Own your local AI inference.

Start with the quickstart, check the hardware matrix, then connect your editor, agent or API client to the local server.