Google's free Gemma 4 model runs on hardware you probably already own
…The latest from Google is Gemma 4 , and while there are four models in the family, each is tweaked for different tasks. That makes them interesting to use: you can choose the…
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I finally ditched Ollama after using llama.cpp's WebUI, and I'm not going back anytime soon
…It often outperforms Ollama—faster tokens/sec and lower latency—while exposing deep tweakable inference settings. Ollama keeps convenience king—easy installs, one-click model swaps—so neither tool needs to be…
I tested every local LLM tweak people recommend, and only these ones actually mattered
…For example, the same temperature setting will behave differently depending on your model, its size, quantization, and whatever the other parameters are doing at the same time. Changing two things at once…
I replaced ChatGPT and Claude with this powerful local LLM and saved over $20 a month while gaining full control
…Getting Qwen3.6-35B-A3B to run on my outdated GPU was a bit of a challenge But with a few tweaks, I got this beast of a model to generate 20…
Local LLMs work best when you're not loyal to just one
…A lot of these inconsistencies can be attributed to the algorithms, training data, quantization rates, and tuning methods that shaped these LLMs. For example, Qwen 2.5 Coder (the higher parameter variants…
My local LLM and Claude are helping me make my dream game, one day at a time
…On the software side, that means installing Ollama to run local models, downloading a quantized version of Google's Gemma4:e4b that comfortably fit in my GPU's VRAM, and setting up…
I replaced Cursor and Antigravity with a completely local VS Code setup, and I missed less than I expected
…After all, being able to host bulky 35B models on weak 12GB VRAM GPUs without taking massive performance hits or turning down the quantization rate makes them a force to be reckoned…
Stop obsessing over your GPU's core clock — memory clock matters more for local LLM inference
…When your LLMs aren't struggling for memory bandwidth, like with optimized kernels, quantized models, and smaller context windows, they can be noticeably accelerated by the GPU core clock. Otherwise, the sheer…
Two old GPUs I salvaged are doing more AI work than a brand new $2000 card, and I won't be upgrading anytime soon
…Related Your old GPU can still run big LLMs – you just need the right tweaks There's a lot you can do with these models My RTX 3080 Ti tackles the demanding…
I finally found an open-source local LLM that actually competes with cloud AI
…At Q4 quantization it fits in around 3 to 6GB of VRAM. That's the edge-optimized design doing its job, it was built to run on phones and Raspberry Pis, so…
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