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70B still worth the pain
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context size vs speed in ...
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do small edge boxes make ...
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8B vs 14B sweet spot: any...
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| image generation model locals actually use |
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Posted by: thetaplane - 09-19-2026, 11:17 PM - Forum: Model Comparisons
- Replies (13)
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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 |
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Posted by: mangotinker73 - 09-19-2026, 11:16 PM - Forum: Embedding / Reranking Models
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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 |
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Posted by: relaynest82 - 09-19-2026, 06:05 PM - Forum: AMD / ROCm
- Replies (1)
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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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| non-AI thing you built recently |
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Posted by: thetatinker77 - 09-19-2026, 04:34 PM - Forum: Off Topic
- Replies (14)
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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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| student models for local use: worth it? |
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Posted by: cobaltlab - 09-19-2026, 02:27 AM - Forum: Agents
- Replies (13)
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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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