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  prefill bottlenecks on longer prompts for Mistral
Posted by: phaseshed - 09-16-2026, 05:35 AM - Forum: Other Engines - Replies (13)

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

Maybe useful as a starting point: MLX on 5090, keeping prefill/decode split in mind from the start.

Maybe useful as a starting point for newer folks.

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  which local open model do you keep coming back to: what are you seeing?
Posted by: promptfield - 09-16-2026, 05:35 AM - Forum: Hosted - No Replies

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

I tried this with Llama using SGLang on 7900 XTX. The headline result was better than I expected, but continuous batching still ended up being the limiting factor.

Curious if anyone else landed in the same place.

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  few-shot when you actually need it with PyTorch
Posted by: promptspark58 - 09-16-2026, 04:03 AM - Forum: Prompts / System Prompts - Replies (8)

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.

This is mostly for local work rather than public serving.

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  eval setup for local models for Kimi
Posted by: routearch - 09-16-2026, 03:41 AM - Forum: Benchmarks - Replies (6)

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

After a few runs on Threadripper box, I ended up with decent performance, but the setup only really made sense once I adjusted around consumer GPUs.

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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  sandboxing agent actions on M3 Max
Posted by: llmpeak - 09-16-2026, 12:56 AM - Forum: Model / Agent Security - Replies (13)

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

After a few runs on dual 3090, I ended up with decent performance, but the setup only really made sense once I adjusted around embeddings.

Happy to post more details if anyone wants them.

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  Help with Vector Databases
Posted by: macronest - 09-15-2026, 10:53 PM - Forum: Vector Databases - Replies (13)

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

Two paths both seem viable, but they break down differently once VRAM headroom becomes important.

Interested in tradeoffs more than fan loyalty.

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

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  which local open model do you keep coming back to with LM Studio
Posted by: batchshed - 09-15-2026, 10:37 PM - Forum: Hosted - Replies (5)

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

I've gone back and forth between LM Studio and MLX for Qwen. The interesting difference for me has been workstation thermals.

Interested in tradeoffs more than fan loyalty.

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  when video is still not worth the wait for DeepSeek
Posted by: turboscope - 09-15-2026, 10:04 PM - Forum: Quality / Reliability Testing - Replies (14)

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 MoE serving.

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

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  vLLM vs SGLang for small teams
Posted by: batchcraft - 09-15-2026, 09:13 PM - Forum: vLLM / SGLang - No Replies

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 MLX and 7900 XTX.

I'm especially interested in mistakes worth avoiding.

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  prefill bottlenecks on longer prompts on GB200
Posted by: cacheworks - 09-15-2026, 09:03 PM - Forum: Other Engines - Replies (2)

This keeps coming up in conversation so I figured I'd start a thread.

One thing I keep noticing is that people underestimate quant drift until they actually try to run this stuff for more than one afternoon.

Curious whether that lines up with what other people are seeing.

I care more about stability than squeezing the last possible tokens/sec out of it.

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