lanceflt

Council taxes are property taxes and are monthly.

Thanks! I've emailed.

The key issue for the sector is the tens of legacy systems that don't integrate with each other, often with manual spreadsheet processes that could be easily automated. Yet the big players like Oracle sell a generic CRM experience that doesn't fit well with higher education.

Are you hiring? I have 8 years of university SIS implementation & migration experience and 2 years of Edtech AI engineering experience and this is the exact problem space I want to work in.

Deepseek R1 (full, Q1) is 14t/s on an M2 Ultra, so this should be around 20t/s

RAM for 4-bit is 1GB per 2 billion parameters. So you will want 256GB RAM and at least one GPU. If you only have one server and one user, it's the full parameter count. (If you have multiple GPUs/servers and many users in parallel, you can shard and route it so you only need the active parameter count per GPU/server. So it's cheaper at scale.)

I'm running a 4090 at 280W, and I'm seeing ~96% of the performance of 450W. There's no need to run it at full power.

This is just an ad for the Swiss chocolate industry. The only people quoted are being funded directly by chocolate manufacturers.

https://github.com/openai/sparse_autoencoder

They actually open sourced it, for GPT-2 which is an open model.

They didn't train the vision encoder either, it's unchanged SigLIP by Google.

- Llava is not the SOTA open VLM, InternVL-1.5 is https://huggingface.co/spaces/opencompass/open_vlm_leaderboa...

You need to compare the evals to strong open VLMs including this and CogVLM

- This is not "first-ever multimodal model built on top of Llama3", there's already a Llava on Llama3-8b https://huggingface.co/lmms-lab