Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Well it is a 9B model after all. Self hosted models become a minimum “intelligent” at 16B parameters. For context the models ran in Google servers are close to 300B parameters models
Any source for that info? Seems important to know and assert the quality, no?
Here:
https://www.sitepoint.com/local-llms-complete-guide/
https://www.hardware-corner.net/running-llms-locally-introduction/
https://travis.media/blog/ai-model-parameters-explained/
https://claude.ai/public/artifacts/0ecdfb83-807b-4481-8456-8605d48a356c
https://labelyourdata.com/articles/llm-fine-tuning/llm-model-size
https://medium.com/@prashantramnyc/understanding-parameters-context-size-tokens-temperature-shots-cot-prompts-gsm8k-mmlu-4bafa9566652
To find them it only required a web search using the query local llm parameters and number of params of cloud models on DuckDuckGo.
Edit: formatting
Appreciated. Very much appreciated!
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