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Its a touch backwards to start the session on the server and resume in the TUI, but....
Full #LocalAI coding, with remote control.
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I've been trying to use the #GitShipDone (#GSD) `map-codebase` workflow to test agentic models on my mish mash of #localai servers.
I had been using #opencode. And every model would send itself off the rails or to a hard stop: struggling with opencodes' tools.
So, because what I care about is the model performance and quality, not the harness; and the only requirement is that GSD works in it....
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🔥 Top post: This is possibly a hot take, but #openai or #googleai is going t · 1 likes + reposts
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By the numbers in the logs #Laguna XS 2.1 looks slower than other models, but in OpenCode it feels so much faster.
https://huggingface.co/lmstudio-community/Laguna-XS-2.1-GGUF
Q6_k
#LocalAI #llamacpp
I ❤️ #Superpowers
#opencode #localai
#orinth 1.0 35b q8_0 is just a touch too big for an Arc Pro B70, but if I add the B580....
#WHAMMY
Spending days having #Ornith fix what Fable screwed up is what I get for letting it touch my code.
All #LocalAI #OpenCode in #XtrmTerm (Silk OpenGL), fixing XtrmTerm.
#Ornith
I'll be the one who says it:
#Anthropic has made #Opus do some real stupid things. Its new tendency to blame anything but itself is getting real annoying real fast.
Its a touch backwards to start the session on the server and resume in the TUI, but....
Full #LocalAI coding, with remote control.
Well, I guess you can compute weights from system RAM on the GPU and get better than 2 t/s on #llamacpp #vulkan, if fit just never assigns tensors to host compute. And you can run a 70GB BF16 model with 44GB of VRAM with nothing but GPU co…
And this is the crap I'm talking about, I find a model on HF, it says I should run it on #vllm but vLLM doesn't support the model type.... because I need to go setup a *custom* build of vLLM to run it.
"Production grade LLM"? Buuuuuushit.…
I've been trying to use the #GitShipDone (#GSD) `map-codebase` workflow to test agentic models on my mish mash of #localai servers.
I had been using #opencode. And every model would send itself off the rails or to a hard stop: struggling …
I really struggle with vLLM being the "production grade" LLM serving tool when it performs so much worse than llama.cpp on all my hardware.
And don't even get me started on llm-scaler...
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