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  simple local serving recipe for Kimi
Posted by: mintstation99 - 10-14-2026, 02:40 AM - Forum: Local - Replies (7)

Wanted to compare notes with people doing similar things.

I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling HBM constraints.

Not looking for the perfect answer, mostly what worked in real use.

I expected the biggest difference to come from the model, but the stack around it mattered at least as much.

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  driver/framework news roundup with Ollama
Posted by: deepseeked - 10-14-2026, 02:37 AM - Forum: News & Industry - Replies (13)

Wanted to compare notes with people doing similar things.

I'm mostly working with Kimi in TensorRT-LLM on M3 Max. The part I'm trying to understand is speculative decoding.

If you've tested something similar, what did you keep and what did you stop bothering with?

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  best sandbox for trying risky tools
Posted by: deltagrid - 10-14-2026, 02:19 AM - Forum: Sandboxing - Replies (8)

Spent some time on this today and wanted to compare notes.

I'm comparing two approaches here: keep it simple on dual 3090, or squeeze more out of the stack and deal with the complexity.

What would you pick if you had to live with it for a few months?

This is mostly for local work rather than public serving.

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  do small edge boxes make sense with llama.cpp
Posted by: northgarden37 - 10-14-2026, 01:14 AM - Forum: CPUs / NPUs / Accelerators - Replies (15)

I'm trying to sanity-check my setup.

I'm trying to decide whether to keep the current stack or change course. Main question is how people here are handling batch size.

Not looking for the perfect answer, mostly what worked in real use.

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  Audio / Speech discussion with llama.cpp
Posted by: vectorfield - 10-14-2026, 12:10 AM - Forum: Audio / Speech - No Replies

Posting this in case it saves someone else a little time.

If you were starting from scratch today for this use case, what would you choose first and what would you ignore?

I'm especially interested in mistakes worth avoiding.

For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day.

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  Apple unified memory limits
Posted by: lablab - 10-14-2026, 12:01 AM - Forum: Apple / MLX - Replies (8)

Did a bit of testing and thought I'd post the result here.

Short version: MLX behaved well for me, but only after I stopped ignoring router policy.

Nothing scientific here, just practical notes from a real setup.

My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.

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  dataset format recommendations: early impressions
Posted by: batchember - 10-13-2026, 11:49 PM - Forum: Routers - Replies (15)

Thought I'd post a small recipe because a lot of threads ask similar things.

Just sharing a setup that ended up working reasonably well: FLUX, vLLM, M3 Max, with a lot of attention on quant drift.

Maybe useful as a starting point for newer folks.

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  distill or just quantize for Mistral
Posted by: thetaplane - 10-13-2026, 11:29 PM - Forum: Agents - Replies (11)

Thought I'd post a small recipe because a lot of threads ask similar things.

This isn't revolutionary, but the combination of LM Studio and M3 Max felt surprisingly usable once I tuned around small local stacks.

If someone wants the exact settings I can clean them up and post them.

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  quiet dual-GPU build advice for Mixtral
Posted by: labnest - 10-13-2026, 11:03 PM - Forum: Systems & Builds - Replies (14)

Posting this in case it saves someone else a little time.

I'm not trying to build a perfect architecture diagram. I just want a sane starting point around vLLM and M3 Max.

Would rather learn from your scars than collect my own all at once.

This is mostly for local work rather than public serving.

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  new here, what's your stack on Threadripper box
Posted by: rocmplane - 10-13-2026, 11:01 PM - Forum: General - Replies (1)

Posting this in case it saves someone else a little time.

I'm helping a small team set up a local workflow. We don't need a giant stack, but we do care about consumer GPUs.

I'm especially interested in mistakes worth avoiding.

This is mostly for local work rather than public serving.

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