I’m currently shopping around for something a bit faster than ollama and because I could not get it to use a different context and output length, which seems to be a known and long ignored issue. Somehow everything I’ve tried so far did miss one or more critical features, like:

  • “Hot” model replacement, so loading and unloading models on demand
  • Function calling
  • Support of most models
  • OpenAI API compatibility (to work well with Open WebUI)

I’d be happy about any recommendations!

  • @theunknownmuncherEnglish
    1•3 hours ago

    Are you using a tiny model (1.5B-7B parameters)? ollama pulls 4bit quant by default. It looks like vllm does not used quantized models by default so this is likely the difference. Tiny models are impacted more by quantization

    I have no problems with changing num_ctx or num_predict