Tested Mistral Small 3.1 24B on my RTX 5060 Ti -- 14.4GB VRAM, 20 tokens/sec, and barely 1.6GB of breathing room left on the card.Slow? Yes. Worth it? Surprisingly, yes.The output quality has no business being this good on a model pressed against the VRAM ceiling. Badly wish I had a better card. This thing's good!Full benchmark breakdown on the blog -- link in comments.#AI #LocalLLM #Ollama #HomeLabAI #Mistral #OpenSourceAIhttps://goarcherdynamics.com/2026/03/30/aihome-mistral-3-1-small-24b-review/?utm_source=mastodon&utm_medium=jetpack_social
Related
ASML looks to increase prices of its Low-NA EUV tools beyond existing productivity-based model — company wants to captur...
ASML looks to increase prices of its Low-NA EUV tools beyond existing productivity-based model — company wants to capture the …ASML's comments point to intentions to increase price...
🧪 Second half of summer to bring chances for rain but heatwave threat persistsForecasts suggest the weather could turn m...
🧪 Second half of summer to bring chances for rain but heatwave threat persistsForecasts suggest the weather could turn more changeable during late July and August but the risk of h...
Instead of more headcount every time volume spikes, you add better conversation flows and more training data.Read more 👉...
Instead of more headcount every time volume spikes, you add better conversation flows and more training data.Read more 👉 https://lttr.ai/AtP8d#AI #Business #Chatbots