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  image generation model locals actually use
Posted by: thetaplane - 09-19-2026, 11:17 PM - Forum: Model Comparisons - Replies (13)

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

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

Maybe obvious to some of you, but it clicked for me this week.

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

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  MCP server discovery mess
Posted by: mangotinker73 - 09-19-2026, 11:16 PM - Forum: Embedding / Reranking Models - Replies (1)

Wanted to compare notes with people doing similar things.

I'm mostly working with Kimi in Ollama on Threadripper box. The part I'm trying to understand is long context.

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

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  is RDNA worth the hassle yet with llama.cpp
Posted by: relaynest82 - 09-19-2026, 06:05 PM - Forum: AMD / ROCm - Replies (1)

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

I've gone back and forth between vLLM and MLX for Gemma. The interesting difference for me has been HBM constraints.

Trying to avoid rebuilding the whole thing twice.

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

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  routing between local and hosted for Kimi
Posted by: deepseeked - 09-19-2026, 06:03 PM - Forum: Recipes & Configurations - Replies (12)

I figured I'd ask here before changing everything.

I'm mostly working with Mixtral in vLLM on M3 Max. The part I'm trying to understand is NVFP4.

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

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  multimodal local stack that feels real: what are you seeing?
Posted by: visionforge - 09-19-2026, 04:36 PM - Forum: Video - Replies (10)

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 prefix caching.

I'm especially interested in mistakes worth avoiding.

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  non-AI thing you built recently
Posted by: thetatinker77 - 09-19-2026, 04:34 PM - Forum: Off Topic - Replies (14)

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

Short version: PyTorch behaved well for me, but only after I stopped ignoring quant drift.

Curious if anyone else landed in the same place.

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  industry move that matters for local users
Posted by: deepseeked - 09-19-2026, 12:45 PM - Forum: News & Industry - Replies (10)

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

Maybe useful as a starting point: MLX on 4090, keeping long context in mind from the start.

Maybe useful as a starting point for newer folks.

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  KV cache compression worth it for Mistral
Posted by: batchscope72 - 09-19-2026, 12:01 PM - Forum: Other Engines - Replies (15)

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

Short version: SGLang behaved well for me, but only after I stopped ignoring NVFP4.

Curious if anyone else landed in the same place.

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  when a plain Python stack is enough for Qwen
Posted by: vectorport - 09-19-2026, 02:49 AM - Forum: PyTorch / JAX / Other Frameworks - Replies (14)

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

Two paths both seem viable, but they break down differently once workstation thermals 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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  student models for local use: worth it?
Posted by: cobaltlab - 09-19-2026, 02:27 AM - Forum: Agents - Replies (13)

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

One thing I keep noticing is that people underestimate INT4 until they actually try to run this stuff for more than one afternoon.

Maybe obvious to some of you, but it clicked for me this week.

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