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$
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I will fix your ollama, comfyui or local ai setup on linux or windows
Tara Lyne
About this gig
Your model loads but returns nothing. Or it runs at 2 tokens a second on a GPU that should do forty. Or it OOMs on a model that should fit. I fix exactly this.
I run a full local AI stack on a single 3090 - Ollama, ComfyUI, LoRA training, voice models, automated pipelines. I have hit every one of these failures on my own hardware and worked out why.
What I fix:
- Empty replies from reasoning models. Reasoning tokens eat your whole num_predict budget, so it returns nothing with done_reason "length". Looks like a broken model. Is not.
- Partial CPU offload quietly destroying your speed
- Context size blowing out your VRAM (KV cache scales with context)
- Models reloading every request because keep-alive is still default
- ComfyUI workflows failing on a missing custom node or a model in the wrong folder
- CUDA, driver and container mismatches on Linux
- Picking the right model and quantisation for the VRAM you actually have
Message me first with what is happening, your OS, GPU and VRAM. I will tell you honestly whether I can fix it before you order. If I cannot, I will say so rather than take your money.
I build and sell my own local AI tooling, so this is not theory.
Get to know Tara Lyne
Tara Lyne
AI Automation and LLM Integration Developer
- FromUnited States
- Member sinceFeb 2026
Languages
English
I build AI systems that actually work — not demos, production systems.
I run a 5-node AI cluster 24/7 with local LLMs, RAG pipelines, and autonomous agents. I deliver Python automation,
FastAPI backends, LLM integration, Flutter mobile apps, and web scraping solutions.
Fast delivery. Clean code. Real results.
Other AI Development Services I Offer
FAQ
Can you fix this if I'm on Windows and not Linux?
Yes. Most of these failures are the same on both - token budgets, VRAM headroom, keep-alive and context size do not care about your OS. A few things differ (drivers, WSL, where Ollama stores models) and I will tell you which applies to you.
Do you need remote access to my machine?
No, and I prefer not to. For most problems I work from your logs, your config and the output of a couple of read-only commands I will give you, then send the fix with an explanation. If you would rather do it live, a screen share works, but it is your choice, not a requirement.
What if you can't fix it?
Then I say so. Message me before you order with what is happening and your hardware, and I will tell you honestly whether it is something I can solve. I would rather turn away an order than take money for a problem I cannot fix.
My GPU is small or I'm on CPU only. Is it hopeless?
No, but the honest answer may be that the model you are trying to run does not fit. Part of what I do is tell you what will actually run well on the hardware you have, instead of leaving you fighting a model that was never going to work.
Will you just give me a script, or will I understand what went wrong?
You will understand it. Every fix comes with what was wrong and why, because the same class of problem comes back and I would rather you recognise it next time than have to order again.
