WhoRoger

TL;DR: Lowered the nut a lot, works great, considering lowering the saddle some more.

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I decided to stop torturing myself and do something about the high action of my classic, since the stiff strings were getting ridiculous.

Before:

12th fret string height: both E's just under 5mm 1st fret string height when 3rd fret is pressed: just under 0.7mm

Went for the saddle first, sanded it down, got the action at 12th fret to about 4.5mm low E and 4mm high E. Night and day difference already, strings super smooth.

But it also highlighted the real problem, that it was the nut that was way too high. Where I was still measuring 0.7mm at the first fret, the normal height is apparently about 0.2

I don't normally praise something this much, but holy shit, Maple is amazing. It's a 20B A1B MoE ternary, with file size about 5.5GB.

https://huggingface.co/deepgrove/models if you use GGUF, you need to compile their llama.cpp fork, since mainline doesn't support it yet: https://github.com/deepgrove-ai/llama.cpp You can compile it for CPU, or if you have a GPU, for CUDA or Vulkan, but speed-wise it'll be probably the same, since it's not optimized for GPUs.

Anyway, THE SPEED! I just run things on cpu, an old mobile quadcore i5 8350u. This thing launches off at 30 tps decode and almost 100 tps prefill. Even after 50k context it generates above 10 tps. The only models this fast are sub-0.5B

In case you don't know or don't follow this series, there's a 24H race going on now.

https://youtu.be/NF1cLz5qfFo

Almost 16 hours to go (until noon CET).

Btw this "24H series" is mostly a rich amateur series, but it's a nice night race for ASMR or something. I think they stop commentary after midnight.

Another Redditor also made a spotter guide: https://old.reddit.com/r/wec/comments/1wi15ue/ot_barcelona_24h_race_is_on_this_weekend_24h/

Any old.reddit.com link just redirects to https://old.reddit.com/login/?reason=lor2&dest=https%3A%2F%2Fold.reddit.com%2F now. Which is just a blank page to boot.

No, Reddit, I will not use the "new" bloated site and I will not be logging in in my browser. So, is this a glitch or is it getting killed off?

Pasted the same HTML/JS code (330 lines) into Qwen 35B A3B and Gemma 26B A4B.

Qwen: tokenized the input to 1609 tokens

Gemma: tokenized the input to 4258 tokens.

Damn. I've never noticed this before and I haven't seen people mention it. That alone helps explain why Qwen is regarded as better at coding and Gemma at language tasks.

Qwen can literally see the code as some specific form of input/output, while Gemma is breaking it down into pieces of words like regular language. Qwen also gets a totally different reasoning personality when given coding tasks.

Btw with the instruction document (55 lines), the tokenization breakdown is almost the same: 1025 vs. 1039 tokens.

I've seen some pro

There's a bunch of small MoE with around 1B active params, like LFM2.5 8B A1B and Granite 4.0h 7B A1B; and then there are models with 3B+ like Qwen 3.x ~30B A3B and Gemma 4 26B A4B, but those are already on the heavier side if you don't have enough resources.

What about the middle ground, MoE with about 2B active? I found a few, but there's very little debate about them, if any.

• LFM2 24B A2B (5 months old)
• Mellum 2 12B A2.5B (2 months old)
• Moondream 3.1 9B A2B (This month)
• [VAETKI 20B A2B](https://huggingface.co/nc-ai-conso

https://huggingface.co/openbmb/MiniCPM5-1B

What even is this thing? MiniCPM 4.6 was a tuned Qwen 3.5 0.8B, but this looks like something else. It doesn't have vision, and it apparently has its own tokenizer. The model itself is aware of existence of Qwen 2.5, but says it's not that. Is it a new model from scratch?

I don't use agents, but I checked out mradermacher's Heretic Q6_K a bit and it seems to work quite fine. Pretty reasonable and brief thinking, unlike the "but wait" infinite loop of newer Qwens. And its speech pattern seems different from other small models I've tried.

Hey, does nobody here get hyped about new tiny models anymore? Where's everybody?

Since Session seems to be ending, I'm checking out simplex.

I'm confused about... Honestly almost everything. So many things are unclear, as if the system expects you're already tuned to this kind of thinking. Clearly I'm not, thus I start doubting even the stuff that should make sense. So I have questions...

1. So the desktop app needs to be on the same network as a phone app... If my phone breaks, am I able to use the desktop standalone until I replace the phone? Or only with other identities? What happens if both the desktop and phone are on the same network, but the phone drops Wi-Fi and connects to cellular? Is it expected the phone app is the primary device and desktop just a dumb te

Disclaimer: This is totally just my personal testing/messing around. Nothing scientific.

TL;DR: I find FP16 mmproj pointless, and may even harm quality rather than help.

I decided to check vision of the recent small models on llama.cpp. I didn't know any better, so I downloaded Q8 of the mmprojs. Then I looked into it and found that most people just go for FP16 at all times, so I downloaded those too. And well since I already had both versions for each model, I might as well compare them.

Models: Qwen3.5 0.8B, 2B, 4B, Gemma 4 E2B and E4B, Gemma 3 4B - all Heretics of some sort (all Q6_K or i1/Q6_K, some in uncensored versions too, some also in IQ4_NL because I've been collecting them alre

Sorry if this was mentioned before, there is a lot of chatter about the frequency and it's hard to search.

I assume the 8.613 MHz frequency is important, such as it can disrupt the hive mind.

So, two bits:

• Interesting find: https://old.reddit.com/r/RTLSDR/comments/12u2ha3/need_help_iding_what_kind_of_digital_signal_am_i/ where somebody randomly found a signal at 8.61 MHz. Some people claim it sounds like a radar. Apparently, the frequency can be used for long-range radar, maritime radio and number stations.

So this could be some leftover radar or military radio installation right on top of a power source, which the hive can't turn off, because they can't get close to it.

• If I unders

I picked a T14s G1 AMD for a friend and I didn't realize they also need an Ethernet port. So I figured I can get them a docking station. And since the 40AH/AG/AJ are so cheap, I might as well get two, so I have one for my T480 as well.

I have questions.

• The 40AH/AG/AJ should be compatible with both the 14s G1 AMD and the T480, right? They're listed as compatible, but just want to make sure.

• What's really the difference between the different 40XX docks? Aside of display ports, I also found references to different USB speeds. It's a bit confusing.

• The docks are often listed as e.g. 40AH135, and sometimes even in the same listing the 40AH and 40AH135 are listed as different variants.

Please don't suggest to buy a 500 € graphic card. I was just given this laptop with GTX 1050 Ti 4GB, I wanted to try if it's any useful for anything at all, because I've been stuck on CPU only for months.

OS: OpenSuse Tumbleweed, nvidia drivers installed

So I tried ComfyUI (from github), ran a thing, that errored out due to CUDA mismatch. I learned this GPU supports CUDA 6.1, while I guess current PyTorch supports 7 and up? I talked to Perplexity about it, it suggested to work from a Conda env with Python 3.10 and pytorch-cuda=11.7. That didn't work, because Conda seems to insist on installing cpu-only versions, so CUDA isn't available.

Which is so ironic, because I recall having the exac

I tried to do my research, but I can't find good resources newer than 4 years old, while looking through the updates of CZ, It's had a lot of improvements, so maybe there's something new I haven't found.

I need to clone an SSD with this setup:

Source: 512 GB BTRFS/LUKS (full encryption aside of EFI) drive with only 70 GB used

Intermediary: USB drive with 200 GB of free space for the image

Target: blank 256 GB drive

Is there any way I can make the clone and preserve the encryption? Again, information from a few years ago says probably not. But I want to check if anything changed.

Thanks!

My friend's teenager has a Legion Y530 with a 15" screen, 8th gen i7 and a NVIDIA GTX 1050, with a broken power button.

The kiddo will need a (high) school laptop soon though, so sturdiness and reliability is more of a concern than gaming, thus the current thought is to find a replacement rather than fix this one.

Obviously I'm fond of ThinkPads, and they're readily available, so that's where my mind is going.

Comparing this Legion with my T480, the biggest visible difference, aside of the GPU, is the screen. The Legion screen is not great, but still a huge improvement.

So the idea is to find a TP with a nice enough screen and at least basic gaming capability, either with a dGPU of some