Ross ROSS = Recommend OSS · open-source software intelligence for agents

antirez/ds4

DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm observed · 2026-08-28

github.com/antirez/ds4 · C · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

58/100

  • Activity 99
  • Release rhythm 35
  • Longevity 8

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 119
  • days_rel: n/a
  • days_push: 10
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

21807 stars · 2017 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DwarfStar (ds4) is a self-contained native LLM inference engine written in C, optimized for DeepSeek V4 Flash and PRO and GLM 5.2, with support for Metal, CUDA, and ROCm backends. It includes model loading, prompt rendering, tool calls, KV caching, an HTTP server, and a coding agent, plus tools for GGUF quantization and benchmarking.

Use cases

  • run DeepSeek V4 Flash locally on a MacBook with Metal
  • serve a multi-user LLM server on old CUDA cards with micro batching
  • run large models on machines without enough RAM using SSD streaming
  • use tensor parallelism across two Macs with RDMA
  • run inference on Strix Halo systems with ROCm
  • quantize models to GGUF with imatrix and evaluate quality and speed

When to avoid

  • you need a general-purpose GGUF runner for arbitrary models
  • you prefer a mature multi-model framework like llama.cpp or vLLM
  • you are uncomfortable with AI-assisted developed code

Facets

application · maturity active

llm-inference http-server gpu-computing large-language-models artificial-intelligence self-hosted cli metal cuda rocm deepseek gguf local-inference tensor-parallelism ssd-streaming macos linux gpu web-server

1 source

Member repositories

RepositoryRoleHealth v2
antirez/ds4main58

For agents

markdown · JSON · MCP: product_card(name="antirez/ds4")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem