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OrbStack
Warp Terminal
Podman
pkgx
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Vite
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Unsloth
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OrbStack UnslothNo features have been listed yet.
Based on our record, OrbStack should be more popular than Unsloth. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You might find OrbStack useful here as a replacement for Docker Desktop. So much faster and uses way less resources: https://orbstack.dev/. - Source: Hacker News / 2 months ago
On macOS, I recommend OrbStack. It is lighter than Docker Desktop. - Source: dev.to / 3 months ago
There are a bunch of options to run containers locally on macOS. In addition to the dominant Docker Desktop, there are other excellent tools like OrbStack, Podman/Podman Desktop and even a solution from Apple starting with macOS 26 (Tahoe). - Source: dev.to / 5 months ago
Another alternative (although Mac OS-only) is [0] OrbStack. Some devs in my team are running it as a more performant alternative to Docker Desktop for Mac and they are very happy so far. [0]: https://orbstack.dev. - Source: Hacker News / 4 months ago
Have you tried https://orbstack.dev/? - Source: Hacker News / 6 months ago
Unsloth is primarily a fine-tuning tool โ it makes QLoRA training 2-5x faster with 50-70% less VRAM. It does NOT run inference. For inference, use Ollama/llama.cpp/MLX. - Source: dev.to / 3 months ago
LoRA is the breakthrough that democratized fine-tuning: by training only 1% of model weights, it reduces GPU/VRAM needs by 10-100x. QLoRA takes it further โ quantizing to 4 bits enables fine-tuning 65B+ parameter models on a single consumer GPU with just 3GB VRAM (Unsloth). - Source: dev.to / 3 months ago
Unsloth AI is designed to optimize large language model fine-tuning on modest hardware. It leverages efficient training algorithms to allow even GPUs with 24GB VRAM, like consumer-grade cards, to fine-tune models such as Llama 3 without massive resource demands or overheating risks. - Source: dev.to / 11 months ago
Lot's of tools for each of those separately (RAG and fine-tuning). We're working on combining them but it's not ready yet. You don't need a big GPU cluster. Fine-tuning is quite accessible via both APIs and local tools. Some suggestions: - getkiln.ai (biased, my tool): let's you try all of the below, and compare/eval the resulting models - API based tuning for closed models: OpenAI, Google Gemini - API based... - Source: Hacker News / about 1 year ago
Install and configure Unsloth in Colab. - Source: dev.to / about 1 year ago
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