UI is rather confusing.

Is there similar project for image editing?

Just basic features:

- cropping

- rotating

- brightness & contrast

By the way, I'm running 400B model on my computer with 72GB VRAM: Qwen3.5-397B-A17B-GGUF/UD-Q4_K_XL getting 13 t/s. Subjectively, I feel it's runs at the level of Anthropic Claude, just slower.

The Keystone XL pipeline had been partially constructed before President Biden revoked the permit on January 20, 2021 on his first day in office. About 300 miles had been completed when TC Energy officially abandoned the project.

So, no need to make old program to work. Just write new one.

/sarcasm

Looks like this is 10 billion activated parameters / 230 billion in total.

So, this is biggest open model, which can be run on your own host / own hardware with somewhat decent speed. I'm getting 16 t/s on my Intel Xeon W5-3425 / DDR5-4800 / RTX4090D-48GB

And looking at the benchmark scores - it's not that far from SOTA (matches or exceeds the performance of Claude Sonnet 4.5)

Proxmox has nice web GUI

And I do not understand it:

1. Ingress still works, it's not deprecated.

2. There a lot of controllers, which supports both: Gateway API and Ingress (for example Traefik)

So, how Ingress Nginx retiring related / affects switch to Gateway API?

I use it. Found it to be helpful.

And because they are "immutable" - I found it's significantly more complicated to use with no tangible benefits. I do not want to learn and deal declarative machine configs, learn how to create custom images with GPU drivers...

Quite a few things which I get done on Ubuntu / Debian under 60 seconds - takes me half an hour to figure out with Talos.

Very easy, reliable.

Without k3s I would have use Docker, but k3s really adds important features: easier to manage network, more declarative configuration, bundled Traefik...

So, I'm convinced that quite a few people can happily and efficiently use k8s.

In the past I used other k8s distro (Harvester) which was much more complicated to use and fragile to maintain.

I don't have much experience with them, so can't tell if it's really on the same level.

I was searching on HuggingFace for the model which can fit on my system RAM + VRAM. And the way HuggingFace shows the models - bunch of files, showing size for each file, but doesn't show the total. I copy-pasted that page to LLM and asked to count the total. Some of LLMs counted correctly, and some - confidently gave me totally wrong number.

And that's not that complicated question.

Type IQ2_XXS / 183GB, 16k context:

CPU only: 3 t/s (tokens per second) for PP (prompt processing) and 1.44 t/s for response.

CPU + NVIDIA RTX 70GB VRAM: 4.74 t/s for PP and 1.87 t/s for response.

I wish Unsloth produce similar quantization for DeepSeek V3, - it will be more useful, as it doesn't need reasoning tokens, so even with same t/s it will faster overall.

That was USA scorched Vietnam. That was USA killing civilians in Iraq and Afganistan. That was USA overthrowing foreign goverments, including Ukrainian... And then it preached to Russia on what to do with neighboring states...

Because in 2x CPU system, the model may have to be passed via NUMA, which has 10% - 30% of memory bandwidth bandwidth

So much for supporting Open Source AV1...