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context size vs speed in ...
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| first LoRA that actually helped |
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Posted by: batchsize - 10-06-2026, 11:41 AM - Forum: Benchmarks
- Replies (14)
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This keeps coming up in conversation so I figured I'd start a thread.
It feels like the conversation has shifted hard toward inference and serving details lately, and honestly that makes sense once you start dealing with small local stacks.
Maybe obvious to some of you, but it clicked for me this week.
This is mostly for local work rather than public serving.
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| prefix caching in llama.cpp with PyTorch |
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Posted by: vrambandit - 10-06-2026, 10:18 AM - Forum: llama.cpp / GGUF
- Replies (12)
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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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| batching changes after update for Llama |
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Posted by: kernelmike - 10-06-2026, 09:42 AM - Forum: NVIDIA / CUDA
- Replies (13)
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Spent some time on this today and wanted to compare notes.
I've gone back and forth between MLX and llama.cpp for Kimi. The interesting difference for me has been prefill/decode split.
What would you pick if you had to live with it for a few months?
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
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| whisper alternatives lately |
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Posted by: llmtrack - 10-06-2026, 08:44 AM - Forum: Image
- Replies (1)
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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?
Simple and boring is a valid answer.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
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| Help with Audio / Speech |
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Posted by: signalcraft14 - 10-06-2026, 07:56 AM - Forum: Audio / Speech
- Replies (9)
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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 SGLang and Threadripper box.
Would rather learn from your scars than collect my own all at once.
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| speculative decoding in llama.cpp |
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Posted by: vrambandit - 10-06-2026, 06:29 AM - Forum: llama.cpp / GGUF
- Replies (10)
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This keeps coming up in conversation so I figured I'd start a thread.
The more I work with local setups, the more it seems like consumer GPUs decides everything downstream.
Maybe obvious to some of you, but it clicked for me this week.
For context, I'm not chasing leaderboard numbers. I mostly want the system to feel consistent day to day. The logs were somehow calmer than I was.
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| RAG recall vs speed tradeoff: early impressions |
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Posted by: modgarden - 10-06-2026, 06:03 AM - Forum: Distillation
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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: Llama, MLX, M3 Max, with a lot of attention on small local stacks.
Maybe useful as a starting point for newer folks.
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| memory layers vs plain long context |
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Posted by: sparrowghost - 10-06-2026, 05:48 AM - Forum: Long Context / Memory
- Replies (1)
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Did a bit of testing and thought I'd post the result here.
After a few runs on 7900 XTX, I ended up with decent performance, but the setup only really made sense once I adjusted around NVFP4.
Curious if anyone else landed in the same place.
My use case is pretty ordinary: local chat, some document work, and occasional batch jobs.
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