6 points by AbstractH24 1 day ago | 6 comments
- I do classification with SLMs and for my tasks when I have a few thousand samples the frontier models in zero-shot and few-shot modes are embarassingly bad in comparison.
- I think we're past that point; they're absolutely useful already for a lot of tasks. I think it's about costs, convenience, and benefits of a frontier model for what you're doing.
- Which ones are most useful? Any suggestions on where to go to start exploring this world?
- A good place to browse is the LocalLLaMa subreddit. [0]
A good software to start is LM Studio [1]. Another popular alternative is Ollama [2].
A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3].
A good place to get models is HuggingFace, particularly the Unsloth models [4]
Most popular models lately to run on "regular" gaming PC's, workstations, Macs etc are: Qwen 3.5 9b, Qwen 3.6 35B-A3B, Qwen 3.6 27B, Gemma 4.
But there are hundreds or thousands of other models and different quantizations, finetunes, etc, etc. Have fun :)
[0] https://www.reddit.com/r/LocalLLaMA/
- Local LLMs have been useful since 2024. If you don't know this then you are just far behind. Catch up!
- until its cheaper to train and infer than 100k gpu data centers...i doubt it will ever compete.
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