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qwen3_5-assembly

Qwen3.5-0.8B CPU inference in x86-64 assembly

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GITHUB · launched Nov 8, 2026 · 9 upvotes (top 100%) · 0 views

Niche: llm inference engines · 133 launches, 4 in the last 7 days ▼ -33% · Explore this niche →

Category and tags
  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

More like this: all 133 launches in llm inference engines →

Could you build this?

No Running a language model's CPU inference in hand-written x86-64 assembly requires low-level systems expertise for tensor math, quantization, and tokenization, and vibe coding produces error-prone assembly that is hard to verify.

What it would actually take: The stack is a minimal loader plus hand-optimized assembly kernels for matmul, attention, RMSNorm, and dequantization, validated against a reference implementation such as llama.cpp. The hard parts are SIMD optimization (AVX2/AVX-512), numerical correctness, and debugging, which require experienced low-level programmers and profiling tools.

Competitors

Other products that read as similar to this one : 1061 launches clear the similarity bar, closest 8 shown.

Attention rank: #1061 of 1062 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 373 days after the earliest competitor.

  • nesformer · github · 2026-10-30 · 284 upvotes · similarity 0.66
  • qwen3.6-35b-a3b-144T-S · github · 2026-09-20 · 15 upvotes · similarity 0.60
  • FlashQwen · hn · 2026-06-16 · 5 upvotes · similarity 0.60
  • Fastest Qwen 3.8 27 on single RTX5090 · ph · 2026-09-07 · 1 upvotes · similarity 0.59
  • qwenFS · github · 2026-11-02 · 91 upvotes · similarity 0.59
  • qwenGPU · github · 2026-11-01 · 117 upvotes · similarity 0.59
  • lean-qwenflash · github · 2026-10-24 · 48 upvotes · similarity 0.58
  • Reame · hn · 2026-07-11 · 59 upvotes · similarity 0.57

Related data

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.