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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
os7ues8 | LocalLLaMA | 1u88ywc | os7rfme | 1 | Mysterious_Hearing14 | 1,781,715,926 | Pi agent
Verl | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/os7ues8/ | 1,789,194,769 | batch-priority-2026-summer |
os880vh | LocalLLaMA | 1u88ywc | 1u88ywc | 0 | Dear_Set_5585 | 1,781,719,417 | ppo actually moving the needle on reasoning is wild. what's your reward signal looking like - are you using process supervision or outcome-based scoring on the autoresearch tasks, or something else entirely. curious if the gains hold up when you swap in different base models or if this is specific to how qwen's trained... | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/os880vh/ | 1,789,194,769 | batch-priority-2026-summer |
os95rjc | LocalLLaMA | 1u88ywc | os6bjpz | 2 | Odd_Cauliflower_8004 | 1,781,728,196 | that's not the answer to the question i've made | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/os95rjc/ | 1,789,194,769 | batch-priority-2026-summer |
os9aqrh | LocalLLaMA | 1u88ywc | os7ues8 | 2 | Hot_Turnip_3309 | 1,781,729,516 | did you use pi-autoresearcher? | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/os9aqrh/ | 1,789,194,769 | batch-priority-2026-summer |
oscbzi8 | LocalLLaMA | 1u88ywc | 1u88ywc | 0 | GanjaRaidersTR | 1,781,770,591 | Damn finally, the last days I was searching intensely for PPO trained modell but the only one was llama from meta, the latest are GRPO trained,(good too but i atikl want to test PPo, i think fable from mythos was using PPo too.. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/oscbzi8/ | 1,789,194,769 | batch-priority-2026-summer |
osd68j1 | LocalLLaMA | 1u88ywc | 1u88ywc | 0 | CalligrapherFar7833 | 1,781,784,365 | Multiple people asked you whats the gain from what you did and you cant explain it thus its worthless | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osd68j1/ | 1,789,194,769 | batch-priority-2026-summer |
osd7gjc | LocalLLaMA | 1u88ywc | osd68j1 | 1 | Mysterious_Hearing14 | 1,781,784,796 | It's good agentic model, that generate good ideas and write a good code to autoresearch, better then nex and bunch of "fAbLe OpUs UnCeNsOrEd "distills with broken reasoning and agentic capabilities. Try space and compare with regular qwen, idn what to propose you. I don't want to make a fake pr with "opus vibes in 35b ... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osd7gjc/ | 1,789,194,769 | batch-priority-2026-summer |
ositvq3 | LocalLLaMA | 1u88ywc | os6e7ef | 2 | TomLucidor | 1,781,846,757 | Could you (a) train this under 4-bit Qwen-3.6 with KV also being quant (b) apply distillation to BitNet/ternary models (c) suck up procedure knowledge from larger models like Kimi/MiniMax/GLM to complement the usual Claude/Gemini/GPT data (d) see if there are "out-of-distribution" or live benchmark gains (e) reduce ove... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/ositvq3/ | 1,789,194,769 | batch-priority-2026-summer |
osiu0j3 | LocalLLaMA | 1u88ywc | os7t8as | 5 | TomLucidor | 1,781,846,818 | Do your damn homework first, please. Karpathy is a celeb | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osiu0j3/ | 1,789,194,769 | batch-priority-2026-summer |
osiu6sf | LocalLLaMA | 1u88ywc | os6dykw | 2 | TomLucidor | 1,781,846,899 | What about Gemma-4 (31B and 28B-A4B)? And maybe later on Gemma-4-E4B and Qwen-3.6-9B for how smaller models might 80/20 relative to the bigger ones? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osiu6sf/ | 1,789,194,769 | batch-priority-2026-summer |
osium20 | LocalLLaMA | 1u88ywc | os880vh | 1 | TomLucidor | 1,781,847,094 | Seconding this vs Gemma-4 finetuning. Also maybe PPO can be optimized like how RLVR made a splash in the whole post-training thing. But also could this show that self-improving AI could be a "thing"? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osium20/ | 1,789,194,769 | batch-priority-2026-summer |
osiwkr2 | LocalLLaMA | 1u88ywc | os95rjc | 3 | TomLucidor | 1,781,848,011 | "parameter golf" as itself bro | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osiwkr2/ | 1,789,194,769 | batch-priority-2026-summer |
osjf4ev | LocalLLaMA | 1u88ywc | os6bjpz | 2 | Odd_Cauliflower_8004 | 1,781,857,122 | Does it have an actual application or is it just to win benchmarks? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u88ywc/siq1_qwen36_for_autoresearch_and_autonomous_agency/osjf4ev/ | 1,789,194,769 | batch-priority-2026-summer |
os6bbvg | LocalLLaMA | 1u89dnx | 1u89dnx | 0 | AutoModerator | 1,781,700,828 | 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/1u89dnx/making_harnesses_more_economical/os6bbvg/ | 1,789,194,768 | batch-priority-2026-summer |
os6my5v | LocalLLaMA | 1u8asil | 1u8asil | 0 | AutoModerator | 1,781,704,305 | 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/1u8asil/user_memory_probably_shouldnt_belong_to_one_model/os6my5v/ | 1,789,194,787 | batch-priority-2026-summer |
os6sv6z | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | WhiskyAKM | 1,781,705,978 | I'm too making my own AI harness that is written in rust
([tinyharness ](https://github.com/PTFOPlayer/TinyHarness))
How did you solve plugins? I want to make them in future but without actually implementing some kind of intermediate format it seems kinda impossible. I was toying around with FFI and in runtime dynami... | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os6sv6z/ | 1,789,194,789 | batch-priority-2026-summer |
os6vx25 | LocalLLaMA | 1u8bblv | os6sv6z | 1 | yogthos | 1,781,706,824 | I used [Janet](https://janet-lang.org/) which is a Lisp you can embed in Rust with around 1 meg footprint. It works pretty seamlessly. | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os6vx25/ | 1,789,194,789 | batch-priority-2026-summer |
os6w34d | LocalLLaMA | 1u8bblv | os6vx25 | 2 | WhiskyAKM | 1,781,706,870 | First time I heard about it
I'll try it out thx | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os6w34d/ | 1,789,194,789 | batch-priority-2026-summer |
os6xhy7 | LocalLLaMA | 1u8bblv | os6w34d | 3 | yogthos | 1,781,707,261 | I have some examples of what plugins end up looking like with it here https://github.com/dirge-code/dirge/tree/main/plugins | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os6xhy7/ | 1,789,194,789 | batch-priority-2026-summer |
os6zzmx | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | HVACcontrolsGuru | 1,781,707,942 | Pretty neat! I was looking at the same thing with Rust and Ratatui but I have to many projects floating around to build a coding harness out like this! I have a rust memory service that can be embedded or ran as an MCP if you want to check it out lemme know and I'll drop a link! | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os6zzmx/ | 1,789,194,789 | batch-priority-2026-summer |
os70qo9 | LocalLLaMA | 1u8bblv | os6zzmx | 1 | yogthos | 1,781,708,146 | oh yeah definitely, would be good to see how you approached it to see if I'm doing anything stupid :) | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os70qo9/ | 1,789,194,789 | batch-priority-2026-summer |
os78grm | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | Thin_Pollution8843 | 1,781,710,224 | Hi have you wrote that article yourself? Or used some AI | -3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os78grm/ | 1,789,194,789 | batch-priority-2026-summer |
os7b1lv | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | darknecross | 1,781,710,903 | Good write up. Some comments from reading through it, just thoughts not necessarily feedback:
\- I think replacing the Lisp plugin system with something like Lua would drive more engagement with users. Not that there’s anything wrong with Lisp, it’s just that so many people have stronger Python/JavaScript backgrounds ... | 8 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os7b1lv/ | 1,789,194,789 | batch-priority-2026-summer |
os7d7e9 | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | No_Hedgehog_7563 | 1,781,711,469 | Interesting project, do you plan to support github copilot as provider? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os7d7e9/ | 1,789,194,789 | batch-priority-2026-summer |
os7h759 | LocalLLaMA | 1u8bblv | os7d7e9 | 1 | yogthos | 1,781,712,510 | I'm open to a PR for it if it's useful. :) | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os7h759/ | 1,789,194,789 | batch-priority-2026-summer |
os7p6gp | LocalLLaMA | 1u8bblv | os7b1lv | 1 | yogthos | 1,781,714,585 | Thanks!
I guess being a Lisper, I kind of have a soft spot for Lisp dialects. Hence why I landed on Janet. Although, it's easy enough to get the agent to write plugins nowadays, so probably not that much of a barrier in practice.
And yeah, there's very little value in having nested structures in tool call schemas sin... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os7p6gp/ | 1,789,194,789 | batch-priority-2026-summer |
os81x52 | LocalLLaMA | 1u8bblv | os78grm | 1 | yogthos | 1,781,717,887 | Hi I did write the article myself, and you can check using https://app.gptzero.me if you want. Could you explain why you're asking me that? | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os81x52/ | 1,789,194,789 | batch-priority-2026-summer |
os9l6bg | LocalLLaMA | 1u8bblv | os81x52 | 2 | Thin_Pollution8843 | 1,781,732,357 | Because I was reading it and feeling like it very well written without any slop in it. So I was wondering maybe you can share the name of AI you used 😅 | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os9l6bg/ | 1,789,194,789 | batch-priority-2026-summer |
os9pm0b | LocalLLaMA | 1u8bblv | os9l6bg | 3 | yogthos | 1,781,733,628 | Actual intelligence inside my head, something you quite evidently lack. | 5 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/os9pm0b/ | 1,789,194,789 | batch-priority-2026-summer |
osaj9uh | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | PossessionUsed7393 | 1,781,743,290 | Thank you for your contribution to this evolving space. I was really interested to read the part about how you handled your edit tool since it seems to be the key failure point for models, and if you fall back to standard oldText newText approaches you of course spend way more on output tokens than you should.
I use a... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osaj9uh/ | 1,789,194,789 | batch-priority-2026-summer |
osaprym | LocalLLaMA | 1u8bblv | osaj9uh | 1 | yogthos | 1,781,745,560 | Oh another tool I made recently might actually be of interest. I realized that you can apply wavelet analysis to text, and it's great for identifying features that appear at different resolutions in text while being largely content agnostic. I haven't tried applying this to prose analysis, but in theory it should work.... | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osaprym/ | 1,789,194,789 | batch-priority-2026-summer |
osaz2mr | LocalLLaMA | 1u8bblv | osaprym | 2 | PossessionUsed7393 | 1,781,748,862 | Yes, the wavelet analysis is interesting, but not for prose pipelines. I have another project I'm working on where it might be useful that involves analyzing massive corpuses of text where it theoretically could help so I'm glad you raised it.
Best of luck and you're welcome. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osaz2mr/ | 1,789,194,789 | batch-priority-2026-summer |
osba65v | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | genpfault | 1,781,752,987 | Maybe add a screenshot or two of the TUI? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osba65v/ | 1,789,194,789 | batch-priority-2026-summer |
osbesnh | LocalLLaMA | 1u8bblv | osba65v | 1 | yogthos | 1,781,754,852 | oh haha I suppose wouldn't hurt, I do have one on the site in the first link | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osbesnh/ | 1,789,194,789 | batch-priority-2026-summer |
osc178f | LocalLLaMA | 1u8bblv | os9pm0b | 4 | lost_send_berries | 1,781,765,099 | Please share a download link | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osc178f/ | 1,789,194,789 | batch-priority-2026-summer |
oscr9n9 | LocalLLaMA | 1u8bblv | osaz2mr | 3 | Silver-Champion-4846 | 1,781,778,341 | Can wavelets be used to represent audio for something like stt and tts? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/oscr9n9/ | 1,789,194,789 | batch-priority-2026-summer |
oscrgy3 | LocalLLaMA | 1u8bblv | os9pm0b | 4 | Silver-Champion-4846 | 1,781,778,438 | Intelligence.so | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/oscrgy3/ | 1,789,194,789 | batch-priority-2026-summer |
osctu7s | LocalLLaMA | 1u8bblv | os7p6gp | 2 | use_your_imagination | 1,781,779,505 | As a pi user that was looking for a customizable equivalent with smaller footprint I will definitely be trying out Dirge.
I second the comment on the embedded Janet, Lua would have been a much friendlier scripting language (that's why neovim became so popular over vim).
I don't mind learning some functional programmi... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osctu7s/ | 1,789,194,789 | batch-priority-2026-summer |
oscuz4v | LocalLLaMA | 1u8bblv | osc178f | 5 | datbackup | 1,781,779,998 | looool | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/oscuz4v/ | 1,789,194,789 | batch-priority-2026-summer |
osd9pb4 | LocalLLaMA | 1u8bblv | osctu7s | 3 | yogthos | 1,781,785,562 | Thanks, and yeah if people feel strongly about Lua, maybe it could be a compiler flag going forward to select which plugin runtime to hook in. It shouldn't be difficult to support both. So, if you do get a fork working with it, a PR would be very welcome. :) | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osd9pb4/ | 1,789,194,789 | batch-priority-2026-summer |
osda0k9 | LocalLLaMA | 1u8bblv | oscr9n9 | 4 | yogthos | 1,781,785,667 | They work for any signal analysis. If you have data with different types of features in it that appear across different scales, you can run it through a wavelet and see what the features are. I explained how the algorithm actually works here. https://yogthos.net/posts/2026-06-02-wavescope.html | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osda0k9/ | 1,789,194,789 | batch-priority-2026-summer |
osg1a8p | LocalLLaMA | 1u8bblv | osda0k9 | 5 | Silver-Champion-4846 | 1,781,812,595 | The question is whether they are better than mel spectrograms, or if 20 wavelet features are actually better than 20 equivalent MFCC or MGC features | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osg1a8p/ | 1,789,194,789 | batch-priority-2026-summer |
osg5l34 | LocalLLaMA | 1u8bblv | osg1a8p | 6 | yogthos | 1,781,813,756 | From my understanding neither is universally superior. While Mel spectrograms are well‑tunen for most speech and audio tasks, wavelets shine in small data or transient focused settings. Specifically for speech to text though, MFCCs are likely a better choice. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osg5l34/ | 1,789,194,789 | batch-priority-2026-summer |
oshqznu | LocalLLaMA | 1u8bblv | 1u8bblv | 0 | MoodyPurples | 1,781,831,744 | This looks super cool! I might switch over from Pi to drop the js requirement | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/oshqznu/ | 1,789,194,789 | batch-priority-2026-summer |
osi83mb | LocalLLaMA | 1u8bblv | oshqznu | 1 | yogthos | 1,781,837,812 | Thanks, and feel free to open issues if you find bugs or missing features you want. | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osi83mb/ | 1,789,194,789 | batch-priority-2026-summer |
osjy36l | LocalLLaMA | 1u8bblv | os7b1lv | 1 | o0genesis0o | 1,781,866,450 | Aggressive pruning would break prompt caching though. I tried this with my own harness (essentially, tool results do not fully reach the context. Instead, they reaches a temp data structure injected into context, and would eventually "fade" away after a certain number of turns). I can see in my cloud console when Pi is... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osjy36l/ | 1,789,194,789 | batch-priority-2026-summer |
osl01fd | LocalLLaMA | 1u8bblv | osbesnh | 2 | genpfault | 1,781,879,298 | Yep, you're right, I was just link-blind, for whatever reason my brain was assuming the [project splashpage](https://dirge-code.github.io/) link (w/screenshot) at the top of the blog was the same as the [repo link](https://github.com/dirge-code/dirge) at the bottom :( | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osl01fd/ | 1,789,194,789 | batch-priority-2026-summer |
osm9xj1 | LocalLLaMA | 1u8bblv | osjy36l | 2 | darknecross | 1,781,891,868 | Interesting. Are you rewriting the context or just updating the last N pages?
I’m thinking more like a branch/squash/rebase flow that only forks off at the tool calling step. But I’m sure they’d need better support in the actual low level cache management layer rather than just the prompt surface | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osm9xj1/ | 1,789,194,789 | batch-priority-2026-summer |
osma11j | LocalLLaMA | 1u8bblv | osd9pb4 | 4 | use_your_imagination | 1,781,891,895 | It would my pleasure. If I start seriously using it you can count on me making PRs instead of just raising issues :)
So far I just managed to compile and need to setup the provider/models to use my llama-swap/llama.cpp local api | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osma11j/ | 1,789,194,789 | batch-priority-2026-summer |
osmv8iq | LocalLLaMA | 1u8bblv | osl01fd | 3 | yogthos | 1,781,897,807 | ah no worries | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osmv8iq/ | 1,789,194,789 | batch-priority-2026-summer |
osmvcyt | LocalLLaMA | 1u8bblv | osma11j | 5 | yogthos | 1,781,897,843 | cool, and yeah hopefully it'll come in handy | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osmvcyt/ | 1,789,194,789 | batch-priority-2026-summer |
osou6np | LocalLLaMA | 1u8bblv | osm9xj1 | 3 | o0genesis0o | 1,781,920,586 | I kept all message the same, never modify history. It's just that instead of returning the full content in tool result, the harness would say "successful, result pinned in the clipboard", which is then injected to the agent at the right place every turn (usually before user message, or within tool response). So history... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8bblv/making_budget_models_punch_above_their_weight/osou6np/ | 1,789,194,789 | batch-priority-2026-summer |
os7097g | LocalLLaMA | 1u8c42d | 1u8c42d | 0 | jacek2023 | 1,781,708,015 | I think the price of an AMD MI355X is higher than the price of most people’s apartments/houses here. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8c42d/occupancy_math_on_the_amd_mi355x_a/os7097g/ | 1,789,194,787 | batch-priority-2026-summer |
os76eaa | LocalLLaMA | 1u8d6fg | 1u8d6fg | 0 | AutoModerator | 1,781,709,677 | 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/1u8d6fg/ai_hallucinations/os76eaa/ | 1,789,194,797 | batch-priority-2026-summer |
os7ar9w | LocalLLaMA | 1u8djqr | 1u8djqr | 0 | jacek2023 | 1,781,710,827 | works for me in version: 9656 (581e8eca8) | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7ar9w/ | 1,789,194,769 | batch-priority-2026-summer |
os7ats0 | LocalLLaMA | 1u8djqr | 1u8djqr | 0 | nickm_27 | 1,781,710,846 | Just happens when it failed to pull the HF cache WebUI build, can happen, I have my build just run the web build alongside the main build in GitHub actions so it is always correctly included (and immediately up to date) | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7ats0/ | 1,789,194,769 | batch-priority-2026-summer |
os7b7jc | LocalLLaMA | 1u8djqr | 1u8djqr | 0 | j0hnp0s | 1,781,710,946 | Make sure you have npm installed to build the web parts. From what I know the downloadable parts are not available for some time now. Last time I noticed, I was getting error 404 not found from the server | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7b7jc/ | 1,789,194,769 | batch-priority-2026-summer |
os7cgul | LocalLLaMA | 1u8djqr | os7ar9w | 1 | misanthrophiccunt | 1,781,711,275 | I'll use that version until it's fixed then. I mean it is their official docker image. Aren't any checks in CI/CD to ensure it is there? Because the API works so any /health checks do work, but the WebUI is nowhere to be found.
I normally change models using pi-llama-router so it's not as if the world is ending. But w... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7cgul/ | 1,789,194,769 | batch-priority-2026-summer |
os7cxzl | LocalLLaMA | 1u8djqr | os7cgul | 2 | jacek2023 | 1,781,711,399 | Assuming it’s not a problem with your setup, you should get responses in your issue | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7cxzl/ | 1,789,194,769 | batch-priority-2026-summer |
os7dts5 | LocalLLaMA | 1u8djqr | os7cxzl | 3 | misanthrophiccunt | 1,781,711,631 | strange, your version doesn't show in their docker tags [https://github.com/ggml-org/llama.cpp/pkgs/container/llama.cpp/versions?filters%5Bversion\_type%5D=tagged&page=2](https://github.com/ggml-org/llama.cpp/pkgs/container/llama.cpp/versions?filters%5Bversion_type%5D=tagged&page=2)
EDIT: got b9664 and that works fine | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7dts5/ | 1,789,194,769 | batch-priority-2026-summer |
os7nx72 | LocalLLaMA | 1u8djqr | os7dts5 | 4 | jacek2023 | 1,781,714,261 | I compile llama.cpp myself | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/os7nx72/ | 1,789,194,769 | batch-priority-2026-summer |
oshraui | LocalLLaMA | 1u8djqr | 1u8djqr | 0 | MoodyPurples | 1,781,831,854 | Yeah I definitely noticed this recently and had to switch to pinning an older image | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/oshraui/ | 1,789,194,769 | batch-priority-2026-summer |
osi19rf | LocalLLaMA | 1u8djqr | oshraui | 1 | misanthrophiccunt | 1,781,835,342 | I pinned it to b9664 and also tried out of curiosity vllm, I'm a bit wowed and with a bit I mean, woooooooooooooooooooooooooooooooooooooooooooooow.
Clearer docs, I actually understand every configurable flag, takes an awful time to load but once it does it couldn't be more robust it is night and day. Isn't it amazing... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/osi19rf/ | 1,789,194,769 | batch-priority-2026-summer |
ot2su9j | LocalLLaMA | 1u8djqr | os7cgul | 2 | ali0une | 1,782,107,961 | Hi there. What is this pi-llama-router? a pi extension? Could you share a link please, i think i could be very interested in this!
Edit: ok could have searched first, seems to be https://pi.dev/packages/pi-llama-server | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/ot2su9j/ | 1,789,194,769 | batch-priority-2026-summer |
ot3ar63 | LocalLLaMA | 1u8djqr | ot2su9j | 3 | misanthrophiccunt | 1,782,117,169 | I had no clue it was possible until one day I read in full the --help of llama-server and after the stroke and 60 days recovery I realised there was a way to load models passing a preset.ini with their filenames and config inside.
Ever since, that's how I use it. If I want to load them I either check in the UI or in ... | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u8djqr/is_anyone_else_not_finding_the_web_ui_on_latest/ot3ar63/ | 1,789,194,769 | batch-priority-2026-summer |
os7s66p | LocalLLaMA | 1u8egce | 1u8egce | 0 | langsfang | 1,781,715,349 | Why to fine-tune here? Check out kvpress (https://github.com/NVIDIA/kvpress) for various KV cache compression algorithms. Alternatively, you can just prompt the model to generate rolling context summaries to compact things down | 0 | null | null | 1,789,195,727 | batch-priority-2026-summer |
otcclgl | LocalLLaMA | 1u8egce | 1u8egce | 0 | Esph1001 | 1,782,228,639 | Haven't seen a purpose-built dataset for this specifically, but the approach you're describing is sound. The layered data pipeline matters more than the framework — domain knowledge first, then application context, then distilled frontier model output as training examples. That three-step process is what actually chang... | 1 | null | null | 1,789,195,727 | batch-priority-2026-summer |
os7j70t | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | Finanzamt_Endgegner | 1,781,713,035 | Its not tongyi lab, its community i think, was just featured by them (: | 9 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os7j70t/ | 1,789,195,728 | batch-priority-2026-summer |
os7zx4j | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | Fedor_Doc | 1,781,717,370 | Wait a minute
Link is for the instruct-only tuned version, not reasoning model
The single benchmark result for the tuned reasoning model shows reduction in capabilities – https://huggingface.co/bytkim/Qwen3.6-27B-MTP-pi-reasoning-GGUF#terminal-bench-20-pi-snapshot | 7 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os7zx4j/ | 1,789,195,728 | batch-priority-2026-summer |
os84mw8 | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | soyalemujica | 1,781,718,578 | What's this different from Qwen base? | 1 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os84mw8/ | 1,789,195,728 | batch-priority-2026-summer |
os8bh8d | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | ttkciar | 1,781,720,295 | Reflaired "New Model" and ignoring Low-Effort report.
Traditionally the bar for new model announcents is very low. | 1 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os8bh8d/ | 1,789,195,728 | batch-priority-2026-summer |
os9b1gn | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | fdrch | 1,781,729,590 | Is it good? | 1 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os9b1gn/ | 1,789,195,773 | batch-priority-2026-summer |
os9irq7 | LocalLLaMA | 1u8enb2 | os9b1gn | 1 | Fedor_Doc | 1,781,731,680 | Even the author does not know that, according to the huggingface post
It should be more accustomed to specific pi workflow, but it is worse in terminal bench compared to original model | 2 | null | /r/LocalLLaMA/comments/1u8enb2/comment/os9irq7/ | 1,789,195,728 | batch-priority-2026-summer |
osbwunt | LocalLLaMA | 1u8enb2 | 1u8enb2 | 0 | Confident_Ideal_5385 | 1,781,762,977 | Omg qwen 27b with no CoT? Where do I insert all the money? | 1 | null | /r/LocalLLaMA/comments/1u8enb2/comment/osbwunt/ | 1,789,195,728 | batch-priority-2026-summer |
os7jlr3 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | SensitiveVariety | 1,781,713,144 | Have you tried messing with batch/ubatch size? I found that mine is best at 2048 for both | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7jlr3/ | 1,789,195,765 | batch-priority-2026-summer |
os7k5ol | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | llama-impersonator | 1,781,713,288 | that's a reasonable speed for those two gpus without mtp or dflash
edit: --ctx-checkpoints 64 is a lot for gemma | 3 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7k5ol/ | 1,789,195,731 | batch-priority-2026-summer |
os7kvd3 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | kosnarf | 1,781,713,472 | Turn off fit and add ngl (check the docs). Let us know how it works | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7kvd3/ | 1,789,195,731 | batch-priority-2026-summer |
os7kyh7 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | Adventurous-Paper566 | 1,781,713,494 | It's not your PCIe 4.0 x4 (no impact on tg speed).
Try without quantified KV cache and remove the --kv-unified line (since you set parallel to 1), just to see the speed, your 16k context length should fit into your 32GB of VRAM, or lower it to 8192 just for the test if it doesn't fit. (I'm running bartowski's Q6_K_L ... | 4 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7kyh7/ | 1,789,195,736 | batch-priority-2026-summer |
os7l2wk | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | kiwibonga | 1,781,713,526 | KV unified is your likely issue, it'll use RAM. Those are not full offload numbers, you should get over 2k PP even with pcie4.0 4x | 4 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7l2wk/ | 1,789,195,753 | batch-priority-2026-summer |
os7q119 | LocalLLaMA | 1u8eq0g | os7jlr3 | 1 | LongDistanceRope | 1,781,714,802 | I've messed around with it, but default seems to be best. lowering (1024 / 512) didn't do anything, higher settings (4096 / 2048) got slower. | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7q119/ | 1,789,195,731 | batch-priority-2026-summer |
os7ry9z | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | LongDistanceRope | 1,781,715,294 | added:
--fit off
--gpu-layers 99
removed:
--kv-unified
--cache-type-k q8_0
--cache-type-v q8_0
I've also checked llama cpp log to make sure its not offlading anything to ram, but no difference in speed. prompt process went down to 550 t/s , output is 26 t/s, but at least its stays consistent and doesn't loose 1 t... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7ry9z/ | 1,789,195,774 | batch-priority-2026-summer |
os7tzd7 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | Some-Ice-4455 | 1,781,715,813 | 26 t/s does seem low for that hardware, but I would suspect the PCIe / multi-GPU split before assuming bad llama.cpp flags. A 4080 sitting on PCIe 4.0 x4 can become a real bottleneck if the model is split across GPUs. Multi-GPU is not automatically faster; sometimes the transfer and sync overhead makes it slower than r... | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7tzd7/ | 1,789,195,782 | batch-priority-2026-summer |
os7u4m3 | LocalLLaMA | 1u8eq0g | os7l2wk | 1 | LongDistanceRope | 1,781,715,851 | I've removed it, along with quantified KV. The only difference it made, is stopped the gradual slow down as context window fills. which is kind of an improvement but no speed difference. | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7u4m3/ | 1,789,195,731 | batch-priority-2026-summer |
os7uysz | LocalLLaMA | 1u8eq0g | os7kyh7 | 1 | LongDistanceRope | 1,781,716,073 | 16k un quantified KV cache does fit into 32gb vram, thats nice. however none of the advice in the thread so far made any difference. | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7uysz/ | 1,789,195,731 | batch-priority-2026-summer |
os7vep3 | LocalLLaMA | 1u8eq0g | os7ry9z | 1 | kosnarf | 1,781,716,190 | Consider removing predict | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os7vep3/ | 1,789,195,731 | batch-priority-2026-summer |
os85w6w | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | Legitimate-Dog5690 | 1,781,718,886 | The pcie speeds don't make much difference, in fact if they're not bothered about gaming performance I'd just suggest whichever card runs the coolest on the top, as it'll heat up a lot more.
I'd normally suggest "--spec-type ngram-mod" for a model like this, or stack it up with mtp if you're using a version with mtp ... | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os85w6w/ | 1,789,195,731 | batch-priority-2026-summer |
os88yj6 | LocalLLaMA | 1u8eq0g | os7tzd7 | 1 | LongDistanceRope | 1,781,719,651 | okay, I've run some test on gemma 4 12b q8 16k context. cause its 13gb and fits in each card:
GPU
TG (t/s)
PP (t/s)
4080
43.69
1010.12
5080
56.70
1180.11
50/50 Split (6.5GB / 6.5GB)
48.70
1123.10
that, doesn't seems to be bottleneck at all. same flags as edited version in above post. however, ... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os88yj6/ | 1,789,195,731 | batch-priority-2026-summer |
os8db9v | LocalLLaMA | 1u8eq0g | os7tzd7 | 1 | see_spot_ruminate | 1,781,720,767 | pcie x4 lanes is not a "bottleneck" that a lot of people think. Even on my quad 5060ti setup one of the cards is on at x1 and I get faster speed than this. | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8db9v/ | 1,789,195,731 | batch-priority-2026-summer |
os8fn37 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | see_spot_ruminate | 1,781,721,365 | As one of the other posters (who was downvoted) said, that is likely a good baseline t/s generation give your card and the model you picked. lets go over why that is.
Vram - I am assuming that this model for you fits entirely on vram at the provided amount of context. If it doesn't that is likely the largest bottlene... | 3 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8fn37/ | 1,789,195,731 | batch-priority-2026-summer |
os8hpw2 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | see_spot_ruminate | 1,781,721,900 | I can't believe you are getting downvoted for speaking the truth... people on this subreddit, ugh
Have an upvote | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8hpw2/ | 1,789,195,796 | batch-priority-2026-summer |
os8kz9e | LocalLLaMA | 1u8eq0g | os8fn37 | 1 | LongDistanceRope | 1,781,722,743 | yeah, I've (ironically) asked gemma to do the math, and even if the 4080 would have 32gb vram, its bandwidth would only allow 28 t/s. For whatever reason I was under the impression as long as a model fits into vram it will run as fast as any. Based on a observation that 7b model run about as fast as 12b on the 4080. Tu... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8kz9e/ | 1,789,195,731 | batch-priority-2026-summer |
os8p8ij | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | see_spot_ruminate | 1,781,723,831 | So llamacpp has to go through all the active parameters each time a token is generated.
For dense models, that is the whole thing. For moe, only the small amount of active.
I forgot one thing to add in my rant. You should try, if it all fits on vram, split-mode tensor. It can also increase generation. | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8p8ij/ | 1,789,195,748 | batch-priority-2026-summer |
os8yeow | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | WishboneSudden2706 | 1,781,726,246 | Try llama-bench for parameter sweeping | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/os8yeow/ | 1,789,195,731 | batch-priority-2026-summer |
oscgdmp | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | LongDistanceRope | 1,781,772,896 | I've tried row: 12 t/s and tensor: 6 t/s. I think its pcie limitations this time. Also tensor produced insane coil whine. Not even sdxl / flux managed to do that. | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/oscgdmp/ | 1,789,195,803 | batch-priority-2026-summer |
oscmmzs | LocalLLaMA | 1u8eq0g | oscgdmp | 1 | see_spot_ruminate | 1,781,776,118 | I don't think so. I have one of my 5060ti's on gen4 x1 lanes and I can get up to 60t/s during coding tasks with a larger model than you are attempting to run.
I think that if you have accounted for all other things try linux?? There may be something wrong with your drivers?? I am not sure. I will include what I do on... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/oscmmzs/ | 1,789,195,743 | batch-priority-2026-summer |
oscnof4 | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | Herr_Drosselmeyer | 1,781,776,630 | Output sounds about right to me. I'm running it on two 5090s at Q8 and 128k context and I get about 40 t/s. Seeing how your 4080 is your bottleneck, that kinda lines up with the expected difference between a 4080 and 5090.
What doesn't line up is the prompt processing. I'm seeing about 4k on my system, so I'd expect ... | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/oscnof4/ | 1,789,195,731 | batch-priority-2026-summer |
osdln5n | LocalLLaMA | 1u8eq0g | os8hpw2 | 1 | llama-impersonator | 1,781,789,267 | happens often enough i don't even blink at it now. some users get emotional and pile on, then the comment gets rescued later by people like you seeing an unobjectionable comment downvoted. | 2 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/osdln5n/ | 1,789,195,731 | batch-priority-2026-summer |
osg8d8z | LocalLLaMA | 1u8eq0g | 1u8eq0g | 0 | Plane-Marionberry380 | 1,781,814,511 | 26 to 28 t/s for a 31B Q6 at 16k context is not wildly broken, but the prompt processing number still looks low for that much GPU.
A few things I would isolate before chasing more flags:
Test one GPU at a time with the same model and ctx. If the 5080 alone is close to the split setup, the second card is mostly addi... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/osg8d8z/ | 1,789,195,788 | batch-priority-2026-summer |
osgqvbi | LocalLLaMA | 1u8eq0g | osg8d8z | 1 | LongDistanceRope | 1,781,819,759 | probably wasn't clear in the first post. I built a pc for a friend with the 5080, its his. the 4080 is mine. I just put both of them in same pc to see what 32gb vram and 5080+4080 setup can do. (which was a bit reckless given a 1000w psu, but actually survived.) And honestly seeing the numbers, 5080+4080 sounds like a ... | 1 | null | /r/LocalLLaMA/comments/1u8eq0g/comment/osgqvbi/ | 1,789,195,731 | batch-priority-2026-summer |
os7wyk0 | LocalLLaMA | 1u8gceo | 1u8gceo | 0 | pmttyji | 1,781,716,597 |  | 5 | null | /r/LocalLLaMA/comments/1u8gceo/multilingualmultimodalnlploopcoderv2_hugging_face/os7wyk0/ | 1,789,195,728 | batch-priority-2026-summer |
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