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602 points emrah | 1 comments | | HN request time: 0.208s | source
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emrah ◴[] No.43743338[source]
Available on ollama: https://ollama.com/library/gemma3
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Der_Einzige ◴[] No.43743658[source]
How many times do I have to say this? Ollama, llamacpp, and many other projects are slower than vLLM/sglang. vLLM is a much superior inference engine and is fully supported by the only LLM frontends that matter (sillytavern).

The community getting obsessed with Ollama has done huge damage to the field, as it's ineffecient compared to vLLM. Many people can get far more tok/s than they think they could if only they knew the right tools.

replies(9): >>43743672 #>>43743695 #>>43743760 #>>43743819 #>>43743824 #>>43743859 #>>43743860 #>>43749101 #>>43753155 #
1. ach9l ◴[] No.43743824[source]
instead of ranting, maybe explain how to make a qat q4 work with images in vllm, afaik it is not yet possible