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orqhy05 | LocalLLaMA | 1u67cbz | orqgc91 | 2 | Foreign_Risk_2031 | 1,781,501,962 | Honestly you just have no idea what you’re doing and hoping for the best 🤣 | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqhy05/ | 1,789,194,763 | batch-priority-2026-summer |
orqi266 | LocalLLaMA | 1u67cbz | orqhy05 | 3 | ready_to_fuck_yeahh | 1,781,502,015 | Yeah, I acknowledged it in very first line of my post, what else should I say? | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqi266/ | 1,789,194,763 | batch-priority-2026-summer |
orqifmc | LocalLLaMA | 1u67cbz | orqi266 | 4 | DashinTheFields | 1,781,502,184 | Stop speaking start learning. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqifmc/ | 1,789,194,763 | batch-priority-2026-summer |
orqig1s | LocalLLaMA | 1u67cbz | 1u67cbz | 0 | Accomplished_Steak14 | 1,781,502,190 | the actual bottleneck is mainly on context limit, other than that, programming is solved | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqig1s/ | 1,789,194,763 | batch-priority-2026-summer |
orqj9dl | LocalLLaMA | 1u67cbz | orqi266 | 4 | Borkato | 1,781,502,563 | Idk why everyone is being a duck to you today | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqj9dl/ | 1,789,194,763 | batch-priority-2026-summer |
orqjf2m | LocalLLaMA | 1u67cbz | orqj9dl | 5 | ready_to_fuck_yeahh | 1,781,502,636 | These kind of responses is one of the main reasons for the downfall of stackexchange lol | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqjf2m/ | 1,789,194,763 | batch-priority-2026-summer |
orqk4cc | LocalLLaMA | 1u67cbz | 1u67cbz | 0 | o0genesis0o | 1,781,502,965 | Oh ffs just spend a day or two to learn how to program.
You can just ask gemini to tell you what to learn, and then go to the docs of the tech it asks you to learn, and read. Ask LLM if you don't understand or need to setup some dependencies. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqk4cc/ | 1,789,194,763 | batch-priority-2026-summer |
orql6tv | LocalLLaMA | 1u67cbz | 1u67cbz | 0 | Some-Cauliflower4902 | 1,781,503,464 | I started vibe coding back in cut and paste days from small scripts. At that time I get the model to explain every single line to me. To this day I still can’t keep up with the complexity of programming, just a rough idea what does what it where does this piece of code live. It would really help to do planning first, g... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orql6tv/ | 1,789,194,763 | batch-priority-2026-summer |
orqler0 | LocalLLaMA | 1u67cbz | orqig1s | 1 | JollyJoker3 | 1,781,503,566 | Like you don't need to care about structure, naming, avoid repetition etc if the code base is small enough one person can keep it all in their head. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqler0/ | 1,789,194,763 | batch-priority-2026-summer |
orqlhh7 | LocalLLaMA | 1u67cbz | orql6tv | 1 | ready_to_fuck_yeahh | 1,781,503,601 | Yeah, I forgot to mention it in post, I usually ask to create todo in folder first, evaluate it and then proceed one by one, but this script didn't need much todo. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqlhh7/ | 1,789,194,763 | batch-priority-2026-summer |
orqmt7x | LocalLLaMA | 1u67cbz | orqler0 | 2 | Accomplished_Steak14 | 1,781,504,232 | another trillion to expand sammy head | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqmt7x/ | 1,789,194,763 | batch-priority-2026-summer |
orqnczm | LocalLLaMA | 1u67cbz | orqlhh7 | 2 | Some-Cauliflower4902 | 1,781,504,496 | It’s more like a specs document than a todo list. I would still do that with added features. Who knows when it will become a bug? Then there better be documentation to come back to. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqnczm/ | 1,789,194,763 | batch-priority-2026-summer |
orqnjv0 | LocalLLaMA | 1u67cbz | orqnczm | 3 | ready_to_fuck_yeahh | 1,781,504,589 | Will look into it, thanks | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqnjv0/ | 1,789,194,763 | batch-priority-2026-summer |
orqq9so | LocalLLaMA | 1u67cbz | 1u67cbz | 0 | Not_your_guy_buddy42 | 1,781,505,931 | I like the honesty of your report but this isn't really about local models, is it? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqq9so/ | 1,789,194,763 | batch-priority-2026-summer |
orqrr6j | LocalLLaMA | 1u67cbz | orqq9so | 1 | ready_to_fuck_yeahh | 1,781,506,670 | Partially, small models are capable enough to compete with gemini flash or flash lite, so those who have rig and are not programmers may find it useful or ignore mistakes I made. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/orqrr6j/ | 1,789,194,763 | batch-priority-2026-summer |
ortms1u | LocalLLaMA | 1u67cbz | orqgc91 | 2 | Due-Function-4877 | 1,781,543,547 | Experienced devs can already think for themselves. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u67cbz/schrödingers_programming/ortms1u/ | 1,789,194,763 | batch-priority-2026-summer |
orqjrfn | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | JayoTree | 1,781,502,796 | How would anyone know that? | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqk74g | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | 1,781,503,001 | 7 | null | null | 1,789,194,738 | batch-priority-2026-summer | ||
orqkegb | LocalLLaMA | 1u67vq9 | orqjrfn | 1 | gamblingapocalypse | 1,781,503,097 | I guess I assumed some people might already have a technical read on it. Maybe from someone who has experience making distilled versions of models. | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqkg9d | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | FullstackSensei | 1,781,503,121 | No. A few thousands of examples and trajectories aren't going to teach a small model how to act like a big one.
| 9 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqks24 | LocalLLaMA | 1u67vq9 | orqkg9d | 1 | casual_butte_play | 1,781,503,272 | My corporate day job begs to differ | 6 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqkzzd | LocalLLaMA | 1u67vq9 | orqkg9d | 1 | gamblingapocalypse | 1,781,503,375 | I’m not saying a few thousand examples makes it Opus. I’m saying aren’t a lot of smaller models already benefiting from outputs of bigger models? So why couldn’t a DiffusionGemma be distilled into something Opus-like for one specific task, like coding or roleplay? | -1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orql7zh | LocalLLaMA | 1u67vq9 | orqks24 | 2 | FullstackSensei | 1,781,503,479 | You have simple distribution of tasks that you can tune a model on. You aren't going to get a distribution covering anything worthwhile with a few thousand examples | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqlk8x | LocalLLaMA | 1u67vq9 | orqkzzd | 2 | CalligrapherFar7833 | 1,781,503,637 | Because just for coding you need shit ton of parameters to quant on making that 12b a 100b | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqloy9 | LocalLLaMA | 1u67vq9 | orqk74g | 1 | gamblingapocalypse | 1,781,503,699 | Sure, but I’m asking about distillation, not base benchmarks. | -2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqlrmp | LocalLLaMA | 1u67vq9 | orqkzzd | 2 | FullstackSensei | 1,781,503,735 | Not the way you think. The vast majority of fine tunes you see on HF suffer from catastrophic forgetting on anything out of distribution.
What the big labs do is basically distill their entire RLHF set on the big models and use those to train the smaller ones. That's tens of millions of examples if not more, carefully... | 6 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqm1ey | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | etaoin314 | 1,781,503,864 | I think you might be overestimating how effective distillation really is. Sure it is way faster and cheaper than training but it can’t produce miracles. | 6 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqmkcn | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | This_Maintenance_834 | 1,781,504,114 | Diffusion models are worse in terms of accuracy than auto-regression models. People have reported diffusiongemma make up false claim 10x more than the auto-regressive counterpart. As this for now, diffusion model is not yet accurate. | 4 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqmsnb | LocalLLaMA | 1u67vq9 | orqm1ey | 1 | gamblingapocalypse | 1,781,504,224 | Maybe not full Opus, but specialized models that are way better than what we have now? | -3 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqn0qs | LocalLLaMA | 1u67vq9 | orqmkcn | 1 | gamblingapocalypse | 1,781,504,333 | Sure, but I’m asking about fine-tuned/distilled versions, not base DiffusionGemma. | -3 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqnlgr | LocalLLaMA | 1u67vq9 | orqlrmp | 3 | gamblingapocalypse | 1,781,504,610 | Ok that makes sense. So it’s possible in theory, but it would need massive curated data.
So then maybe that means a smarter DiffusionGemma style model is more likely to come from Google or another big lab than from a small fine tune? | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqp2br | LocalLLaMA | 1u67vq9 | orqk74g | 1 | bonobomaster | 1,781,505,332 | Slightly?
First of all, it's the MOE 26B variant and not the 31B dense and secondly it's way more stupid and hallucinates a shitton!
https://huggingface.co/google/diffusiongemma-26B-A4B-it | 4 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqq748 | LocalLLaMA | 1u67vq9 | orqloy9 | 2 | No_Draft_8756 | 1,781,505,894 | That doesn't change much | 3 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqrwdp | LocalLLaMA | 1u67vq9 | orqnlgr | 4 | FullstackSensei | 1,781,506,742 | It will all depend on how well AI labs can make it scale and how good the output is vs regressive models.
Might be the next architecture change, like MoE was, or just another experiment that fades away a few months later. Only time will tell. | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqw8ho | LocalLLaMA | 1u67vq9 | orql7zh | 3 | casual_butte_play | 1,781,508,970 | Eh, it’s more subtle than that. With better training and distillation methods more insights can be understood from low N. Like, I learn a lot from people I interact with once a month, and almost none of what I learn is “if they say \_\_\_\_ I follow with \_\_\_\_”. Metacognition and studying of individuals + behavioral... | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqwd8i | LocalLLaMA | 1u67vq9 | orqmsnb | 2 | MaxKruse96 | 1,781,509,039 | have you ever used a modern local model and not just thought about the theory | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqyb68 | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | DeltaSqueezer | 1,781,510,057 | nO. | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqz79x | LocalLLaMA | 1u67vq9 | orqw8ho | 4 | FullstackSensei | 1,781,510,529 | No, they can't understand insights from low N in training/fine-tuning. What you're saying is the polar opposite of scaling laws, which is what LLMs are built on.
Neural networks don't learn and generalize the way a human does. How you learn has no significance nor bearing on how LLMs learn. | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orrwuak | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | sleepingsysadmin | 1,781,526,038 | Diffusion doesnt do dense models. Gemma 4 26B is a weak model to beginwith and when you go to diffusion, it's even weaker.
It might be a useful model if you need to parse high amounts of stuff, but i dont have a use case here. | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orsi706 | LocalLLaMA | 1u67vq9 | 1u67vq9 | 0 | Thin_Pollution8843 | 1,781,532,708 | Rage bait? 😂 | 2 | null | null | 1,789,194,738 | batch-priority-2026-summer |
ortstma | LocalLLaMA | 1u67vq9 | orsi706 | 1 | gamblingapocalypse | 1,781,545,100 | Eye catching really. | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
os4lsiz | LocalLLaMA | 1u67vq9 | orqz79x | 5 | RedditLovingSun | 1,781,673,128 | It's all relative so it depends what exactly you mean by "can't learn much from low N". I know the openai research team said a long time ago that it is surprising how effective fine tuning is even worth a few examples.
Though that was a while ago and there's only so much you can do with a small model. Distillation is... | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orqxp0r | LocalLLaMA | 1u690rz | 1u690rz | 0 | Choice_Celery9481 | 1,781,509,734 | i think 26b is more popular than 31b. so if you could make one for 26b i would love to check it out | 15 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u690rz/moar_qat_stuff_and_hairy_ticks/orqxp0r/ | 1,789,194,763 | batch-priority-2026-summer |
orsg97e | LocalLLaMA | 1u690rz | 1u690rz | 0 | RemarkableAntelope80 | 1,781,532,145 | Very awesome, and great to have a proper trimmed-down high-accuracy heretic quant, been looking for that for a while. Super excited to see where this goes. You are awesome.
I think unsloth are in contact with the google team over this too, so maybe we get an official update on it too. In the meantime, this is truly gr... | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u690rz/moar_qat_stuff_and_hairy_ticks/orsg97e/ | 1,789,194,763 | batch-priority-2026-summer |
otooalz | LocalLLaMA | 1u690rz | 1u690rz | 0 | Glittering-Call8746 | 1,782,373,709 | Share in a new post how u process the Google released qat gguf to q4 then ? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u690rz/moar_qat_stuff_and_hairy_ticks/otooalz/ | 1,789,194,763 | batch-priority-2026-summer |
ovmdw33 | LocalLLaMA | 1u690rz | otooalz | 1 | dreamkast06 | 1,783,221,238 | The code on this comment gets like 90% of the way there. Finding the perfect values takes a crazy amount of compute with some other code. I'm still upset that Unsloth commented that they were talking to google "internally" and were going to give more info a couple days later but nothing has come of it so far.
https://... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u690rz/moar_qat_stuff_and_hairy_ticks/ovmdw33/ | 1,789,194,763 | batch-priority-2026-summer |
orqrxdh | LocalLLaMA | 1u694cj | 1u694cj | 0 | AutoModerator | 1,781,506,756 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
I am a bot, and this action was performed automa... | 1 | null | /r/LocalLLaMA/comments/1u694cj/comment/orqrxdh/ | 1,789,194,740 | batch-priority-2026-summer |
orqse4j | LocalLLaMA | 1u69748 | 1u69748 | 0 | AutoModerator | 1,781,506,990 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | false | /r/LocalLLaMA/comments/1u69748/an_agent_that_plans_with_a_frontier_model_but/orqse4j/ | 1,789,194,738 | batch-priority-2026-summer |
orqys34 | LocalLLaMA | 1u6a55i | 1u6a55i | 0 | AutoModerator | 1,781,510,306 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | /r/LocalLLaMA/comments/1u6a55i/keep_alive_fails_on_some_models/orqys34/ | 1,789,194,738 | batch-priority-2026-summer |
orr02rg | LocalLLaMA | 1u6ac3d | 1u6ac3d | 0 | AutoModerator | 1,781,510,998 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | /r/LocalLLaMA/comments/1u6ac3d/kaggle_mobile_ui_is_a_boss_fight_my_journey/orr02rg/ | 1,789,194,738 | batch-priority-2026-summer |
orr94ml | LocalLLaMA | 1u6boad | 1u6boad | 0 | AutoModerator | 1,781,515,840 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orrk49l | LocalLLaMA | 1u6da5x | 1u6da5x | 0 | AutoModerator | 1,781,521,106 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | null | 1,789,194,744 | batch-priority-2026-summer |
orrrg9s | LocalLLaMA | 1u6e7gp | 1u6e7gp | 0 | MaxKruse96 | 1,781,524,083 | who the hell uses qwen2.5 72b based models in current year | 3 | null | null | 1,789,194,739 | batch-priority-2026-summer |
orrrvfs | LocalLLaMA | 1u6e7gp | 1u6e7gp | 0 | a_beautiful_rhind | 1,781,524,243 | How does it do against other 72b finetunes from that era? | 1 | null | null | 1,789,194,739 | batch-priority-2026-summer |
orsgbkj | LocalLLaMA | 1u6hit6 | 1u6hit6 | 0 | AutoModerator | 1,781,532,164 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | null | 1,789,194,738 | batch-priority-2026-summer |
orskpij | LocalLLaMA | 1u6hwuc | 1u6hwuc | 0 | brown2green | 1,781,533,427 | Byte tokenizer LLMs are not currently used at scale because they require either more training data in practice (4x on average) for similar levels of performance as subword tokenizer LLMs, or more complex and untested architectures (similar to BLT / Byte Latent Transformer) that group bytes into patches internally. So, ... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/orskpij/ | 1,789,194,800 | batch-priority-2026-summer |
orskw8p | LocalLLaMA | 1u6hwuc | 1u6hwuc | 0 | darkwingfuck | 1,781,533,479 | The problem, especially since reasoning caught on, is that the short short token length of a byte means results take forever and are expensive | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/orskw8p/ | 1,789,194,800 | batch-priority-2026-summer |
orsl8u3 | LocalLLaMA | 1u6hwuc | orskw8p | 1 | FrozenBuffalo25 | 1,781,533,577 | If you could deploy it as a sub-agent for proofreading or verification, would that be practical? | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/orsl8u3/ | 1,789,194,800 | batch-priority-2026-summer |
ort0hme | LocalLLaMA | 1u6hwuc | orsl8u3 | 2 | my_name_isnt_clever | 1,781,537,738 | I don't think any of them have been released with enough capacity to actually answer your questions about them, your best resource is probably research papers.
They have a lot of potential on paper, in theory they could encode literally any form of data and that has incredible potential...or that might not work at al... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/ort0hme/ | 1,789,194,800 | batch-priority-2026-summer |
ortalz0 | LocalLLaMA | 1u6hwuc | 1u6hwuc | 0 | social_tech_10 | 1,781,540,408 | You might find this paper interesting: https://arxiv.org/abs/2507.04886
They created a static embedding layer based only on low-res "images" of Unicode characters, and locked it down as a fixed static layer, and if I remember correctly it was able to outperform similar models of the MMLU benchmark. It's hard to believ... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/ortalz0/ | 1,789,194,800 | batch-priority-2026-summer |
ortgpgd | LocalLLaMA | 1u6hwuc | ortalz0 | 1 | Silver-Champion-4846 | 1,781,541,988 | Could it still work today? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6hwuc/bytelevel_models/ortgpgd/ | 1,789,194,800 | batch-priority-2026-summer |
ort6wcg | LocalLLaMA | 1u6ktez | 1u6ktez | 0 | AutoModerator | 1,781,539,419 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | null | null | 1,789,194,827 | batch-priority-2026-summer |
oru84l6 | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | Arany5 | 1,781,548,974 | We are all in a simulation. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/oru84l6/ | 1,789,194,772 | batch-priority-2026-summer |
orugv6z | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | phovos | 1,781,551,239 | That is very interesting it's kinda like an inside out Turing Test! How on earth did you possible sandbox it (most games don't run virtualization or hypervisor code do they)? is there some unity feature which runs it on its own kernel, or something? This would have to be nuclear grade sandboxing if you are shipping a c... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orugv6z/ | 1,789,194,772 | batch-priority-2026-summer |
oruik0q | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | Rompe101 | 1,781,551,679 | "the only thing that exists is myself," | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/oruik0q/ | 1,789,194,772 | batch-priority-2026-summer |
orvh8mn | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | rinaldo23 | 1,781,561,240 | Very creative idea, thanks for sharing it. What LLM is it running? | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orvh8mn/ | 1,789,194,772 | batch-priority-2026-summer |
orviccs | LocalLLaMA | 1u6l6ct | orvh8mn | 1 | MorphLand | 1,781,561,577 | Got crucified for saying this last time but Llama 3.1
I even tested like two dozen of the recommendations and still for broad hardware and speed compromise while maintaining identity it is the best I can find | 9 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orviccs/ | 1,789,194,772 | batch-priority-2026-summer |
orvkioy | LocalLLaMA | 1u6l6ct | oruik0q | 1 | Safe-Thanks-4242 | 1,781,562,255 | The egg | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orvkioy/ | 1,789,194,772 | batch-priority-2026-summer |
orvqi7o | LocalLLaMA | 1u6l6ct | orviccs | 2 | rinaldo23 | 1,781,564,142 | It must be a nightmare finding a good enough model than can run on any hardware so everyone can play the game. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orvqi7o/ | 1,789,194,772 | batch-priority-2026-summer |
orw559b | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | puzzleheadbutbig | 1,781,568,997 | How was your experience putting this on Steam? I heard Steam can be a bit of a pain with AI stuff. Did they request a bunch of resubmissions? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orw559b/ | 1,789,194,772 | batch-priority-2026-summer |
orw9p6x | LocalLLaMA | 1u6l6ct | orw559b | 1 | MorphLand | 1,781,570,547 | Steam was fine, the hard part is getting the LLM bundling inside the unity game to launch and close through steam. That took like three submission revisions. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orw9p6x/ | 1,789,194,772 | batch-priority-2026-summer |
orwl0bl | LocalLLaMA | 1u6l6ct | orviccs | 2 | tat_tvam_asshole | 1,781,574,395 | try gemsicle | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/orwl0bl/ | 1,789,194,772 | batch-priority-2026-summer |
ory63m0 | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | JazzlikeLeave5530 | 1,781,599,517 | Could one hook their own local model into it with a custom endpoint? I'd love to try it with a more powerful one. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/ory63m0/ | 1,789,194,772 | batch-priority-2026-summer |
os0bk2n | LocalLLaMA | 1u6l6ct | 1u6l6ct | 0 | Korici | 1,781,625,980 | Added this to my library to try out tonight - really love the idea of "type anything" - I hope you continue to develop games that include this in some form or fashion in the future.
\~
I also looked through your future game titles that you have cooking in the background - very interesting art style! I'll be watchin... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/os0bk2n/ | 1,789,194,772 | batch-priority-2026-summer |
os0es3g | LocalLLaMA | 1u6l6ct | orviccs | 2 | lochyw | 1,781,626,819 | dude... | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/os0es3g/ | 1,789,194,772 | batch-priority-2026-summer |
os0fosn | LocalLLaMA | 1u6l6ct | os0bk2n | 1 | MorphLand | 1,781,627,051 | You rule! I’m actually working on another right now that has three characters you can speak to. It’s a murder mystery and you’re a detective. You can say anything you want, cross examine them, it’s pretty neat. Be on the lookout! | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/os0fosn/ | 1,789,194,772 | batch-priority-2026-summer |
os0x016 | LocalLLaMA | 1u6l6ct | orviccs | 2 | Human_lookin_cat | 1,781,631,504 | Yeah genuinely dude llama is not a bad choice for this. I don't know why so many people say this, it's like some old=bad disease. Like, yeah, it's ancient, but that's actually a good thing. It doesn't have the years' worth of reinforcement learning and assistant slop bolted on top. And it's very fine-tunable (llamas ar... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6l6ct/i_made_a_game_where_you_convince_an_ai_model_that/os0x016/ | 1,789,194,772 | batch-priority-2026-summer |
ortd76t | LocalLLaMA | 1u6llpk | 1u6llpk | 0 | AutoModerator | 1,781,541,079 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6llpk/moved_my_daily_multiagent_research_to_a_local/ortd76t/ | 1,789,194,772 | batch-priority-2026-summer |
ortot7w | LocalLLaMA | 1u6n0vl | 1u6n0vl | 0 | AutoModerator | 1,781,544,072 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | false | /r/LocalLLaMA/comments/1u6n0vl/aiassisted_geotagging/ortot7w/ | 1,789,194,825 | batch-priority-2026-summer |
oru1ues | LocalLLaMA | 1u6ohae | 1u6ohae | 0 | panchovix | 1,781,547,378 | On vllm you can't use TP3, only 2\^n. So 2,4,8, etc. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru1ues/ | 1,789,194,775 | batch-priority-2026-summer |
oru1zw9 | LocalLLaMA | 1u6ohae | oru1ues | 1 | Bulky-Priority6824 | 1,781,547,416 | ah good to know. well damn. i do have one slot left... ugg!! | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru1zw9/ | 1,789,194,775 | batch-priority-2026-summer |
oru2h9l | LocalLLaMA | 1u6ohae | 1u6ohae | 0 | diagrammatiks | 1,781,547,538 | I mean that's pretty fine. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru2h9l/ | 1,789,194,775 | batch-priority-2026-summer |
oru2ott | LocalLLaMA | 1u6ohae | 1u6ohae | 0 | Th3Sim0n | 1,781,547,591 | vLLM does not allow splitting a model between a number of GPUs that is not a 1 or a power of 2 (or something along those lines) - only 2, 4, 8 etc. Tensor split will work. So if you have 3x 5060ti you can only use tensor parallelism on 2 of those, or get a 4th one and do 4 way split.
Bonus note, PCIE speed matters qui... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru2ott/ | 1,789,194,775 | batch-priority-2026-summer |
oru34bv | LocalLLaMA | 1u6ohae | oru2ott | 1 | Bulky-Priority6824 | 1,781,547,700 | understood. thanks for that reality check. soothing the ocd already | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru34bv/ | 1,789,194,775 | batch-priority-2026-summer |
oru4nvr | LocalLLaMA | 1u6ohae | oru2ott | 1 | YOU_WONT_LIKE_IT | 1,781,548,090 | Is there a cheapish mother board processor combo recommend for 2x 5060ti? I know there x8 but everything I’ve found is expensive and used servers like dell precision that can handled are expensive. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/oru4nvr/ | 1,789,194,775 | batch-priority-2026-summer |
orucmy3 | LocalLLaMA | 1u6ohae | 1u6ohae | 0 | Civil_Fee_7862 | 1,781,550,130 | 2, 4, 8 etc.
1 bad, 3 bad..
The jump from 2 to 4 will often require more something more than a standard residential power outlet.
Going beyond 2 and you're getting into Pro Workstation territory imo.
But I only use XX90 series graphics, which are typically extreme in terms of power requirements. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6ohae/3_gpu_tensor_split_sucks/orucmy3/ | 1,789,194,775 | batch-priority-2026-summer |
oru6xmw | LocalLLaMA | 1u6p7i4 | 1u6p7i4 | 0 | AutoModerator | 1,781,548,668 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6p7i4/building_ai_agents_that_work_while_you_sleep/oru6xmw/ | 1,789,194,775 | batch-priority-2026-summer |
oruopyd | LocalLLaMA | 1u6rflj | 1u6rflj | 0 | AutoModerator | 1,781,553,315 | Hello! Your post was removed as you do not have sufficient karma on r/LocalLLaMa. We are doing this in response to the large volume of spam we are unfortunately experiencing. Please participate in the sub (through comments), gain the minimum of 5 karma and then re-post
*I am a bot, and this action was performed automa... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rflj/removed_by_reddit/oruopyd/ | 1,789,194,783 | batch-priority-2026-summer |
orupuzh | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | DeltaSqueezer | 1,781,553,616 | You add a lot of VRAM for KV cache. | 47 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orupuzh/ | 1,789,194,763 | batch-priority-2026-summer |
orursja | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | AdamDhahabi | 1,781,554,132 | Not tested yet but it should be this param: -np 8
And you specify 1M context, llama.cpp will divide that into 8. Correct me if I'm wrong. | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orursja/ | 1,789,194,763 | batch-priority-2026-summer |
orus6j2 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | [deleted] | 1,781,554,237 | [deleted] | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orus6j2/ | 1,789,194,763 | batch-priority-2026-summer |
orusw42 | LocalLLaMA | 1u6rjom | orus6j2 | 1 | TrainingTwo1118 | 1,781,554,426 | I tried, and it does divide the context. I tried with `--parallel` and `-np`. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orusw42/ | 1,789,194,763 | batch-priority-2026-summer |
orusxlg | LocalLLaMA | 1u6rjom | orursja | 1 | TrainingTwo1118 | 1,781,554,438 | I tried but it doesn't seem to work :/ | 0 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orusxlg/ | 1,789,194,763 | batch-priority-2026-summer |
oruszux | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | Chromix_ | 1,781,554,454 | With llama.cpp you can specify the number of slots for parallel inference with `-np <number>`, **but**: If you use `--no-kvu` (which is default for any number other than 4) then your 128K context size gets statically split, divided by the number of slots. 8 slots configured? Every slot gets limited to 16K, even if only... | 15 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oruszux/ | 1,789,194,763 | batch-priority-2026-summer |
orutkdd | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | TacGibs | 1,781,554,608 | You use vLLM (or SGlang). | 13 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orutkdd/ | 1,789,194,763 | batch-priority-2026-summer |
oruuagl | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | Civil_Fee_7862 | 1,781,554,801 | Good question. Been wondering about this too. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oruuagl/ | 1,789,194,763 | batch-priority-2026-summer |
oruvenh | LocalLLaMA | 1u6rjom | orusxlg | 2 | robertpro01 | 1,781,555,100 | I do the same, it works,. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oruvenh/ | 1,789,194,763 | batch-priority-2026-summer |
orux4t0 | LocalLLaMA | 1u6rjom | oruszux | 1 | coder543 | 1,781,555,554 | > Let's say you use a small model that has 128K max context size, yet because it's small you could fit 256K context on your GPU. Llama.cpp won't let you do that, it'll say it's too big for the model, even if the intention was to just allow slots to use more context up to what the model permits.
This is not true. If yo... | 7 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orux4t0/ | 1,789,194,763 | batch-priority-2026-summer |
oruxi60 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | MrAddams_LibraLogic | 1,781,555,654 | Or you don't share, but rapidly serialize between uses, offloading the kv cache for each user and and onboarding a different user as each comes up for their turn. Everyone gets their own devoted context but you eat the time to swap between them every time. But you avoid replacing the model itself if that part is shared... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oruxi60/ | 1,789,194,763 | batch-priority-2026-summer |
oruy255 | LocalLLaMA | 1u6rjom | oruuagl | 1 | Dsphar | 1,781,555,804 | The context is either split into multiple smaller chunks for each user, or you use a system like vllm which is designed to have mutiple contexts even at max size. This of course linearly increases the amount of ram required.
IE: Say the model requires 200gb of ram. Each (max context size) requires and additional 50gb.... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oruy255/ | 1,789,194,763 | batch-priority-2026-summer |
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