slotstream

AI

local llm inference

SHOW HN2026

slotstream

Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s

github.com

#mlx#apple silicon#expert offloading#local llm#qwen

240points
118comments
#210of 4,366 in 2026
Top 5%of 2026 by points

How HN took it

MixedNo clear lean

3 positive, 18 neutral or asking, 2 mixed, 17 critical, out of 40 comments about the project. Thread score -0.34.

Performance: 0 for, 7 againstDocs: 0 for, 6 againstIdea: 1 for, 4 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Interest in local models running on constrained hardware

    From 2 comments
    • I'm hoping to see progress in this space. Folks talking about how 32G is not enough for local use, but then there's been work like this to empower it. My hope is that the new 32G…
      whartung on HN
    • I love these efforts to get proper models running on lower cost hardware and I think this is where the next real breakthrough will come from. The more efficient this sort of…
      jacquesm on HN

Objections

  • Redundant with existing similar projects

    From 2 comments
    • There are already a handful of repos doing essentially exactly this: `mlx-moe-offload`, `streamlx`, `mlx-moe`, `mlx-flash`, and `deepseek-v4-flash-mlx` - i.e. keep the resident…
      AmazingTurtle on HN
    • so many inference project, omlx already supports all of this and has a 1000 people trying to optimize it constantly
      c0rruptbytes on HN
  • README reads like AI-generated text

    From 2 comments
    • > Hugging Face is the bottleneck, not your link. README could clearly make use of a cleanup, seems to be more like a session log dump now than a good introduction to the project…
      embedding-shape on HN
    • I hate this AI style writing because since it doesn’t really understand flow, it’s being inserted in irrelevant places and it is extremely irritating to read.
      Eufrat on HN
  • Disk reads may wear the SSD

    From 2 comments
    • Is this going to destroy my SSD?
      jonplackett on HN
    • Reading causes insignificant wear ("read disturb") that likely isn't a problem, but I don't think it's possible to issue pure reads to modern SSDs. The NVMe spec mandates…
      mrob on HN

Requests

  • Lower memory use per process

    From 1 comment
    • I just used it, went through the whole installation (took like 1 hour approx). Long but straightforward. If I put my computer to sleep will it continue? I started the server…
      baristaGeek on HN
  • Benchmarks against other inference tools

    From 2 comments
    • Would love to see metrics of model performance, comparison with oMLX/OLLAMA/others. Any tooling for local optimization on hardware.
      securecloudgrou on HN
    • I'm sorry this makes it seem like I didn't do my research. I did a TON. To fix it I'll add a benchmark/comparison table. Also, I wouldn't call it market research since this is…
      carloslfu on HN
  • Native desktop app

    From 1 comment
    • Also I don't know if people like this... but could this be wrapped around a nice desktop app?
      baristaGeek on HN

Questions

  • Energy consumption

    From 1 comment
  • Real use case

    From 1 comment
    • I just used it, went through the whole installation (took like 1 hour approx). Long but straightforward. If I put my computer to sleep will it continue? I started the server…
      baristaGeek on HN

Alternatives named

  • oMLX

    From 1 comment
    • so many inference project, omlx already supports all of this and has a 1000 people trying to optimize it constantly
      c0rruptbytes on HN
  • mlx-moe-offload, streamlx, mlx-flash

    From 1 comment
    • There are already a handful of repos doing essentially exactly this: `mlx-moe-offload`, `streamlx`, `mlx-moe`, `mlx-flash`, and `deepseek-v4-flash-mlx` - i.e. keep the resident…
      AmazingTurtle on HN
  • Ollama

    From 1 comment
    • I just used it, went through the whole installation (took like 1 hour approx). Long but straightforward. If I put my computer to sleep will it continue? I started the server…
      baristaGeek on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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