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Smollm3: Smol, multilingual, long-context reasoner LLM

huggingface.co

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Re: Smollm3: Smol, multilingual, long-context reasoner LLM

#82
post #59

Earlier quoted context omitted.

> fixed some chat template issues This seems to be a persistent issue with almost all weight releases, even from bigger companies like Meta. Are the people who release these weights not testing them in various inference engines? Seems they make it work with Huggingface's Transformers library, then call it a day, but sometimes not even that.

No they don't. Why would they? Most of them are using a single inference engine, most likely developed inhouse. Or they go for something like vLLM, but llama.cpp especially is under their radar. The reason is simple. There isn't much money in it. llama.cpp is free and targets lower end of the hardware spectrum. Corporations will run something else, or even more likely, offload the task to contractor.

The chat template issues are actually not on llama.cpp's side, but on all engines (including vLLM, SGLang etc) For eg see https://www.reddit.com/r/unsloth/comments/1l97eaz/deepseekr1... - which fixed tool calling for DeepSeek R1

Re: Smollm3: Smol, multilingual, long-context reasoner LLM

#83

Earlier quoted context omitted.

H100 are going for about $3/hr, 384 24 3 ~ $28k

Runpod is worth a look for these on demand workloads https://www.runpod.io/pricing I use a lot for ffmpeg workloads. Found this a few days ago which might be neat for finding cheaper https://www.primeintellect.ai/ No affiliation with either

Adding one more that's worth a look https://www.shadeform.ai
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