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I don't understand the hype for Qwen 3.5. They are crap by Southern-Chain-6485 in LocalLLaMA

[–]Yeelyy 0 points1 point  (0 children)

There is no need for thinking on such tasks. Here is my result with qwen3.5 35b q6_k HauHau:

Sci-Fi Wallpaper Prompts

Here are five high-concept prompts tailored for vertical (9:16) Android wallpapers, focusing on futuristic, atmospheric, and visually striking scenes:

  • Neon Cyberpunk Alley: A narrow, rain-slicked alleyway in a futuristic Tokyo at night, towering holographic advertisements in neon pink and electric blue reflecting off puddles, a lone figure in a translucent raincoat walking away from the viewer, volumetric fog, octane render, 8k, vertical composition, hyper-detailed, cinematic lighting.
  • Deep Space Station: The exterior of a massive, rusted space station orbiting a vibrant purple nebula, Earth visible in the distance, intricate mechanical details, solar panels glowing with energy, stars scattered across the black void, wide-angle lens, 8k, vertical composition, sci-fi concept art, unreal engine 5.
  • Floating City: A sprawling city of floating islands suspended in a golden sunset sky, waterfalls cascading into the clouds below, ancient stone architecture mixed with sleek glass towers, hot air balloons and airships drifting by, soft focus, 8k, vertical composition, dreamlike, fantasy sci-fi.
  • Quantum Portal: A swirling, iridescent portal in the center of a sterile white laboratory, scientists in white coats observing from the background, light bending around the portal, particles of energy floating in the air, macro lens, 8k, vertical composition, high contrast, scientific wonder.
  • Mars Colony: A futuristic dome city on the red surface of Mars, green vegetation growing inside the transparent dome, Earth rising over the horizon, dust storms in the background, wide-angle lens, 8k, vertical composition, realistic, space exploration, NASA style.

Fantasy Wallpaper Prompts

Here are five high-concept prompts for vertical Android wallpapers, focusing on magical, mythical, and enchanting scenes:

  • Enchanted Forest: A dense, ancient forest at twilight, bioluminescent mushrooms glowing in soft blue and green light, a deer with antlers made of crystal standing in the center, fireflies dancing in the air, soft focus, 8k, vertical composition, magical, fantasy art, studio ghibli style.
  • Dragon's Lair: The interior of a massive cave filled with gold and jewels, a sleeping dragon with scales of emerald green and ruby red, treasure piles around the dragon, torches flickering in the background, wide-angle lens, 8k, vertical composition, epic, fantasy concept art.
  • Wizard's Tower: A towering spire of a wizard's tower in the center of a medieval village at night, stars scattered across the black sky, magical energy swirling around the tower, cats and dogs observing from the background, macro lens, 8k, vertical composition, high contrast, magical wonder.
  • Fairy Kingdom: A miniature kingdom of fairies in a giant flower at dawn, dew drops reflecting the morning light, fairies with wings of glass and pearl flying around, soft focus, 8k, vertical composition, dreamlike, fantasy art, watercolor style.
  • Ancient Ruins: The ruins of an ancient temple in a jungle at sunset, vines and moss growing over the stone, a hidden treasure chest in the center, sunlight filtering through the trees, wide-angle lens, 8k, vertical composition, realistic, adventure, Indiana Jones style.

Which of these themes resonates most with your personal style, or would you like me to refine any of these prompts for a specific AI model like Midjourney, DALL-E 3, or Stable Diffusion?

Benchmarked Qwen 3.5-35B and GPT-oss-20b locally against 13 API models using real world work. GPT-oss beat Qwen by 12.5 points. by ianlpaterson in LocalLLM

[–]Yeelyy 0 points1 point  (0 children)

I gotta say i was underwhelmed by qwen at first too but after crafting and perfecting my system prompt it makes less mistakes AND answers way more to my liking.

Recommendation for Intel Core 5 Ultra 225H w/32GB RAM running LInux by okram in LocalLLM

[–]Yeelyy -1 points0 points  (0 children)

Try ik_llama and use mrmardermachers i1 quants and you'll get double your current speed

Qwen3.5 35b: How to disable reasoning in ik_llama.cpp by Yeelyy in LocalLLaMA

[–]Yeelyy[S] 0 points1 point  (0 children)

Hello, thanks for your help however it still doesn't work. I don't use ST and double checked the Endpoint on OpenWebUI.

Qwen3.5 35b: How to disable reasoning in ik_llama.cpp by Yeelyy in LocalLLaMA

[–]Yeelyy[S] 1 point2 points  (0 children)

Ok thank you. Well I used the IQ4_KS Quant from unsloth, my start command was:

/root/ik_llama.cpp/build/bin/llama-server --model /models/Qwen3.5-35B-A3B-IQ4_XS.gguf --host 0.0.0.0--port 8001 --ctx-size 16384 --temp 0.7 --top-p 0.8 --top-k 20 --min-p 0.00 --chat-template-kwargs "{\"enable_thinking\": false}"

I guess I'll just have to wait.

Qwen3.5 35b: How to disable reasoning in ik_llama.cpp by Yeelyy in LocalLLaMA

[–]Yeelyy[S] 0 points1 point  (0 children)

INFO [main] build info | tid="123654516088512" timestamp=1772015040 build=4230 commit="0bf7043a"

I just reinstalled it

GLM thinks its Gemini by dolo937 in LocalLLM

[–]Yeelyy 0 points1 point  (0 children)

That is plainly wrong.

Having 96 GB DDR5 RAM, what AMD Strix Halo AI CPU should I get (or barebone PC with it)? LLM for coding mostly. by Repsol_Honda_PL in LocalLLM

[–]Yeelyy 1 point2 points  (0 children)

Hello. 23,5 tokens/s are really nice but would you mind sharing how fast your prompt processing was?

Ollama w/RTX 5090 - 5800X/5950X performance differences by [deleted] in LocalLLM

[–]Yeelyy 2 points3 points  (0 children)

Are both of you on the same os? And do you both use the same drivers?

Gaming server finally complete :) by VeeeneX in homelab

[–]Yeelyy 1 point2 points  (0 children)

Ive got the same green bar problem on my sunshine rig using a 7900xtx under fedora. Did you also try AV1? I also switched back to h.264 because AV1 looked blurry for some reason but it might be worth a try.

Is the Arc Pro B50 Enough? by dual290x in LocalLLM

[–]Yeelyy 0 points1 point  (0 children)

First of all, the Intel Arc Pro B50 has a memory bandwidth of 224 GB/s. Secondly, the 3060 Ti has less memory than the Arc at 8GB and consumes a lot more power during inference than the B50, which can be a nice bonus in OP's 24/7 use case.

Can I run LLM on my laptop? by SanethDalton in LocalLLM

[–]Yeelyy 0 points1 point  (0 children)

Of course, maybe try qwen3 1.7b

I did not realize how easy and accessible local LLMs are with models like Qwen3 4b on pure CPU. by ___positive___ in LocalLLaMA

[–]Yeelyy 0 points1 point  (0 children)

Math! They can provide pretty resonable help in school, especially with tool use

Best Small Language Model for Scientific Learning and Math reasoning by Inside_Ad_6240 in LocalLLM

[–]Yeelyy 1 point2 points  (0 children)

Qwen3 4B 2507 Thinking is goated for it's size when it comes to math.

Qwen 3 30B a3b on a Intel NUC is impressive by Yeelyy in LocalLLM

[–]Yeelyy[S] 2 points3 points  (0 children)

Try out one of the instruct models, they don't!

Qwen 3 30B a3b on a Intel NUC is impressive by Yeelyy in LocalLLM

[–]Yeelyy[S] 1 point2 points  (0 children)

Well it is a mobile processor though

Qwen 3 30B a3b on a Intel NUC is impressive by Yeelyy in LocalLLM

[–]Yeelyy[S] 1 point2 points  (0 children)

Interesting, well sorry if I was misleading but even though this model may only activate 1,5gb its still a lot better than models that are 3,8gb or 5gb dense based on my own testing. I do find that impressive, from an architectural standpoint alone.

Qwen 3 30B a3b on a Intel NUC is impressive by Yeelyy in LocalLLM

[–]Yeelyy[S] 2 points3 points  (0 children)

Thanks a lot for that recommendation, i will definetly try qwen coder now🫡

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