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ds4

Local inference engine for DeepSeek V4, GLM, Qwen

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This is 1 of 131 launches in open-source LLM deployment and inference — see how it stacks up on momentum and crowding →

179 other launches read as similar to this one →

Details

External ID
1268037
Source
PH
Company
—
Product
dcs4
Website domain
producthunt.com
Launched
Oct. 7, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.33
Tags
Open Source, Developer Tools, Artificial Intelligence

Description

DwarfStar 4 (ds4) is a narrow C inference engine from Salvatore Sanfilippo (antirez) for running DeepSeek V4/V4.1 Flash, GLM 5.x and Qwen3.8 Flash Next locally on high-memory Mac, CUDA and ROCm machines. It uses asymmetric quantization on routed experts and a KV cache that persists to SSD and survives restarts. Ships a CLI, OpenAI/Anthropic-compatible local APIs, and a native coding agent sharing the same model state. MIT licensed. Benchmark: 34.4 t/s generation on M5 Max 128GB.

Enrichment

Niche
open-source LLM deployment and inference
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
local llm inference engine for developers
Manually corrected
False

Could you build this?

No Writing a custom low-level C inference engine with asymmetric quantization, custom GPU kernels (CUDA/ROCm/Metal), and SSD-persisted KV caching requires deep systems programming and machine learning systems expertise.

What it would actually take: Requires deep C/C++ systems engineering, low-level GPU programming (CUDA, ROCm, Metal Shading Language), and advanced knowledge of LLM architectures and quantization math. The system must manage asymmetric quantization kernels, memory paging, asynchronous SSD I/O for KV caching, and multi-GPU tensor distribution. A standard vibe-coding workflow cannot optimize custom matrix multiplication and attention kernels to compete with or build such engines.

Competitors

Other products that read as similar to this one — 179 launches clear the similarity bar, closest 8 shown.

Attention rank: #119 of 180 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

Other launches for this product