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orv07xs | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | dwrz | 1,781,556,391 | > With llama.cpp, how does that work? AFAIK it only allows sharing the 128k between users, but not actually providing 128k per user.
I think this is how it used to work, but I believe it's no longer the case.
My understanding is that with both the traditional and unified cache, you can set more context than what the... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv07xs/ | 1,789,194,763 | batch-priority-2026-summer |
orv0tcr | LocalLLaMA | 1u6rjom | orusxlg | 2 | dwrz | 1,781,556,554 | Can you share your flags? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv0tcr/ | 1,789,194,763 | batch-priority-2026-summer |
orv1guh | LocalLLaMA | 1u6rjom | orux4t0 | 2 | Chromix_ | 1,781,556,732 | Hmmm, maybe it has a strange way of communicating that then.
`llama-server -m Falcon-H1-Tiny-90M-Instruct-Q8_0.gguf -np 8 -c 1048576 -kvu`
llama_context: n_ctx_seq (1048576) > n_ctx_train (262144) -- possible training context overflow
load_model: initializing slots, n_slots = 8
load_model: the slot contex... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv1guh/ | 1,789,194,763 | batch-priority-2026-summer |
orv3e2z | LocalLLaMA | 1u6rjom | orv1guh | 3 | coder543 | 1,781,557,262 | Yes, the _slot context_ (for each of the 8 np) is being capped, but the total unified kv cache is not being capped. You can observe how much memory is allocated on your GPU when you change the size of the kvu cache and confirm that way too. If -c was 262144, it would allocate less memory on the GPU than it will at that... | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv3e2z/ | 1,789,194,763 | batch-priority-2026-summer |
orv4pgx | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | No_Draft_8756 | 1,781,557,629 | Can someone tell me if it would be possible to offload the kv mache of one user, so the other user can use the full kv mache.
So like swapping kv mache between users? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv4pgx/ | 1,789,194,763 | batch-priority-2026-summer |
orv5da1 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | KeepyUpper | 1,781,557,814 | I think you can do this in a hacky way by setting this env var
LLAMA_KV_KEEP_ONLY_ACTIVE=1
Then set
--parallel 1
This will ensure only 1 client is ever considered active at one time, the kv cache used by inactive clients is just discarded. Then you can have as many users as you want using the max context. Y... | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv5da1/ | 1,789,194,763 | batch-priority-2026-summer |
orv8vcn | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | x_MASE_x | 1,781,558,796 | It's simple. Np is the parallels number of requests. If it's 4 then 4 users/requests can be done at the same time.
But for that you need more context size.
So 128k context size can be. 4*32k context size for 4 users.
Or use kv unified which shares the entire context with alk requests but you risk crashes or bleeding... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv8vcn/ | 1,789,194,763 | batch-priority-2026-summer |
orv90p4 | LocalLLaMA | 1u6rjom | orux4t0 | 2 | Borkato | 1,781,558,837 | Hmmm you seem to know a lot. Does -np 2 for instance always result in slower generation when they’re both generating? I’m talking about like 28 tokens down to 11 for qwen 27b Q8 | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orv90p4/ | 1,789,194,763 | batch-priority-2026-summer |
orvazyk | LocalLLaMA | 1u6rjom | orv90p4 | 3 | coder543 | 1,781,559,401 | On my DGX Spark, Qwen3.6-27B scales almost linearly... when MTP is disabled.
No MTP:
| Concurrent sequences | Per-stream speed | Aggregate wall-clock speed |
| :--- | :--- | :--- |
| 1 | 11.27 tok/s | 11.09 tok/s |
| 2 | 9.87–9.93 tok/s | 19.30 tok/s |
| 4 | 7.97–8.04 tok/s | 31.22 tok/s |
With MTP:
| Concurrent se... | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvazyk/ | 1,789,194,763 | batch-priority-2026-summer |
orvbvvq | LocalLLaMA | 1u6rjom | orutkdd | 1 | Dr4x_ | 1,781,559,656 | How vllm Vram usage grows with respect to the number of concurrent requests? Is that so much of a gain compared to llama.cpp? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvbvvq/ | 1,789,194,763 | batch-priority-2026-summer |
orvcaep | LocalLLaMA | 1u6rjom | orvbvvq | 2 | TacGibs | 1,781,559,774 | Yes, because it's using only what's needed at the moment. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvcaep/ | 1,789,194,763 | batch-priority-2026-summer |
orvj9jp | LocalLLaMA | 1u6rjom | orupuzh | 1 | magikfly | 1,781,561,864 | and then add some more. | 10 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvj9jp/ | 1,789,194,763 | batch-priority-2026-summer |
orvjkkl | LocalLLaMA | 1u6rjom | orvazyk | 4 | Borkato | 1,781,561,959 | This was very helpful, thank you! | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvjkkl/ | 1,789,194,763 | batch-priority-2026-summer |
orvtnw9 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | BannedGoNext | 1,781,565,166 | If your parallel is larger than 1 you need to make your kv cache bigger, so if you want to give 32k to 2 parallel instances of a model set your cache size to 64. It kind of sucks that it's not a dynamic pool but thems the breaks. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orvtnw9/ | 1,789,194,763 | batch-priority-2026-summer |
orwq0w0 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | segmond | 1,781,576,123 | Use rope to extend the context window. So if the model supports 128k, make it 256k or 384k, etc | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orwq0w0/ | 1,789,194,763 | batch-priority-2026-summer |
orx0r2b | LocalLLaMA | 1u6rjom | oruxi60 | 1 | grumd | 1,781,580,022 | This defeats the purpose of batching. To benefit from batching you'll run toke generation in 2+ slots at the same time. To do this, you need both contexts in kv cache. Having only one context active at a time is the same as having 1 slot | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orx0r2b/ | 1,789,194,763 | batch-priority-2026-summer |
orx2fpb | LocalLLaMA | 1u6rjom | orx0r2b | 2 | MrAddams_LibraLogic | 1,781,580,684 | OP said all users get full context size. Assuming VRAM is a fixed size, only way I know of to do that is to store each person's context layers separately and hotswap them for each person. I didn't say it's efficient, I said it's what allows them all to have full context size.
At conversation speed, the time between tu... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orx2fpb/ | 1,789,194,763 | batch-priority-2026-summer |
orx9sm3 | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | Conscious_Cut_6144 | 1,781,583,721 | If you have 8 parallel users, you probably should switch to vllm or sglang. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orx9sm3/ | 1,789,194,763 | batch-priority-2026-summer |
orxfnwc | LocalLLaMA | 1u6rjom | 1u6rjom | 0 | audioen | 1,781,586,323 | \-c 1048576. Less, like -c 600000 if you live dangerously. You can run out of context if everybody is asking for enough, though. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orxfnwc/ | 1,789,194,763 | batch-priority-2026-summer |
orxo7al | LocalLLaMA | 1u6rjom | orvazyk | 4 | Chromix_ | 1,781,590,370 | Good numbers. Just one thing to keep in mind: This mostly applies to dense models. Batching has less of an effect on MoE models, as they require more memory reads then due to expert-per-token selection - same reason why MTP does way less for those than for dense models. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orxo7al/ | 1,789,194,763 | batch-priority-2026-summer |
orycxp1 | LocalLLaMA | 1u6rjom | oruuagl | 1 | ChampionshipIcy7602 | 1,781,603,050 | The context does not need to stay inside the gpu. When a user request, if vram is not enough to fit all the context, the old user's context (basically kv cache) will be evicted and a new context is loaded. When the vram is enough, all context lives inside the gpu and we get really high cache hit. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orycxp1/ | 1,789,194,763 | batch-priority-2026-summer |
oryq2ob | LocalLLaMA | 1u6rjom | oruszux | 1 | wren6991 | 1,781,608,878 | Unified KV is mostly a trap for parallel inference, which is probably why `llama-server` turns it off by default when you specify `--parallel`. With unified KV, if the total KV footprint of active requests exceeds the allocated space during generation, it drops **all** requests and returns a 503 to all clients. There's... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/oryq2ob/ | 1,789,194,763 | batch-priority-2026-summer |
orzvo8k | LocalLLaMA | 1u6rjom | oryq2ob | 2 | Chromix_ | 1,781,621,813 | Yes, that's the drawback, thus you need to invest into your client, so that it's smart about avoiding that case by keeping track of in-flight requests and their max response size. That's what I've been doing for the efficient execution of parallel requests with vastly varying sizes. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6rjom/maybe_dumb_question_but_how_do_you_serve_multiple/orzvo8k/ | 1,789,194,763 | batch-priority-2026-summer |
oruqd6b | LocalLLaMA | 1u6rmz2 | 1u6rmz2 | 0 | AutoModerator | 1,781,553,750 | 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/1u6rmz2/localfirst_memory_for_claudecursorcodex_hybrid/oruqd6b/ | 1,789,194,759 | batch-priority-2026-summer |
orv1pyo | LocalLLaMA | 1u6st05 | 1u6st05 | 0 | ttkciar | 1,781,556,802 | Violates Rule Four: Self-promotion | 1 | null | /r/LocalLLaMA/comments/1u6st05/removed_by_moderator/orv1pyo/ | 1,789,194,971 | batch-priority-2026-summer |
orv54kz | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | Cherlokoms | 1,781,557,747 | I’d love to contribute to the local ecosystem but I don’t know how | 37 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv54kz/ | 1,789,194,765 | batch-priority-2026-summer |
orv553k | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | z_3454_pfk | 1,781,557,751 | someone chatgpt summarise this pls | 8 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv553k/ | 1,789,194,765 | batch-priority-2026-summer |
orv5gql | LocalLLaMA | 1u6tdjk | orv553k | 1 | Real_Ebb_7417 | 1,781,557,840 | They wanted to bill subscribers for headless mode with API prices instead of subscription usage. Now they back off from this. | 28 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv5gql/ | 1,789,194,765 | batch-priority-2026-summer |
orv7y49 | LocalLLaMA | 1u6tdjk | orv54kz | 1 | OkStatement3655 | 1,781,558,534 | I mean there are many things to do. E.g. helping other people on this sub or just finding great datasets and sharing them (maybe also adding a proper documentation.) I am sure, that a way easier access to collections of data like high-quality captures for TTS-systems will help some guys here to make greater models for ... | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv7y49/ | 1,789,194,765 | batch-priority-2026-summer |
orv8bty | LocalLLaMA | 1u6tdjk | orv7y49 | 2 | OkStatement3655 | 1,781,558,641 | You could (If you have a high-quality microphone and dont care about sharing data) also just record stuff for dozens of hours in the languages you can speak natively and upload them onto huggingface and so on. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv8bty/ | 1,789,194,765 | batch-priority-2026-summer |
orv8pea | LocalLLaMA | 1u6tdjk | orv8bty | 3 | OkStatement3655 | 1,781,558,748 | This could be (with the corresponding transcriptions) be used for text to speech and speech to text systems as of my knowledge. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv8pea/ | 1,789,194,765 | batch-priority-2026-summer |
orv97zm | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | Technical-Earth-3254 | 1,781,558,894 | I wish Hardware was just a little cheaper. Imagine being able to run 1T oss models for 10k with 30tps, then they could fuck off for good. | 22 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orv97zm/ | 1,789,194,765 | batch-priority-2026-summer |
orvapb5 | LocalLLaMA | 1u6tdjk | orv553k | 1 | DistanceSolar1449 | 1,781,559,316 | Because this happened: https://www.reddit.com/r/OpenAI/s/I8avJobHld | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvapb5/ | 1,789,194,765 | batch-priority-2026-summer |
orvarvi | LocalLLaMA | 1u6tdjk | orv54kz | 1 | [deleted] | 1,781,559,337 | Vibe code an application to manage agents then vibecode an harness based on Karpathy vague tweets
There's a real gap there in the community | 56 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvarvi/ | 1,789,194,765 | batch-priority-2026-summer |
orvbayc | LocalLLaMA | 1u6tdjk | orv97zm | 1 | mltam | 1,781,559,489 | In 5 years our alarm clock will have that power | -14 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvbayc/ | 1,789,194,765 | batch-priority-2026-summer |
orvdpj0 | LocalLLaMA | 1u6tdjk | orvarvi | 2 | tat_tvam_asshole | 1,781,560,185 | huh? Hermes is a great harness (from exp), and pi is also good. OpenClaw is supposedly gotten much better | -7 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvdpj0/ | 1,789,194,765 | batch-priority-2026-summer |
orvdu32 | LocalLLaMA | 1u6tdjk | orv54kz | 1 | bigh-aus | 1,781,560,221 | The local ecosystem is awesome but it's still very clunky. different tool call methods, chat tempaltes it's all a little chaotic.
The thing that makes me the most frustrated is having to define model parameters in both vllm / llama.cpp and also opencode configs. It *feels* like this is due to a lack of standards. I ... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvdu32/ | 1,789,194,765 | batch-priority-2026-summer |
orveply | LocalLLaMA | 1u6tdjk | orv5gql | 2 | z_3454_pfk | 1,781,560,479 | that’s actually crazy, bait and switch is the MO here | 8 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orveply/ | 1,789,194,765 | batch-priority-2026-summer |
orvfltv | LocalLLaMA | 1u6tdjk | orvbayc | 2 | Technical-Earth-3254 | 1,781,560,745 | No way. Most here, including me, are running 3090s. These are now over half a decade old. And current cards for the same price have less VRAM, not more. | 28 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvfltv/ | 1,789,194,765 | batch-priority-2026-summer |
orvft9h | LocalLLaMA | 1u6tdjk | orv54kz | 1 | ttkciar | 1,781,560,807 | You can take every prompt you've ever made and feed them back into ChatGPT, Claude, or whatever your favorite inference service, each with the instruction:
> Rewrite the given prompt forty times, each into a more complex prompt on a different subject, and each prompt as diverse from each other as possible.
.. and the... | 16 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvft9h/ | 1,789,194,765 | batch-priority-2026-summer |
orvh0ic | LocalLLaMA | 1u6tdjk | orvbayc | 2 | snogo | 1,781,561,170 | Moores law appears to be dead. Ironically the thing most likely to do something like that is generative ai based chip design. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvh0ic/ | 1,789,194,765 | batch-priority-2026-summer |
orvhik0 | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | somerussianbear | 1,781,561,324 | After TACO, comes DACO | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvhik0/ | 1,789,194,765 | batch-priority-2026-summer |
orvmsl1 | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | my_name_isnt_clever | 1,781,562,968 | There's an easy way to help without even needing strong hardware: use open models in the cloud instead. When I need frontier smarts I use Kimi K2.6 on Openrouter, it's still cloud but it has a lot of advantages over a fully closed proprietary model like Claude or GPT-5. | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvmsl1/ | 1,789,194,765 | batch-priority-2026-summer |
orvtzx5 | LocalLLaMA | 1u6tdjk | orvbayc | 2 | dryadofelysium | 1,781,565,276 | 4 years ago the RTX 4090 launched for $1599. Nowadays this kind of perf with this kind of VRAM is more expensive than 4 years ago. | 14 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvtzx5/ | 1,789,194,765 | batch-priority-2026-summer |
orvu7zg | LocalLLaMA | 1u6tdjk | orvdu32 | 2 | carrotjunkie049 | 1,781,565,349 | For those of us that lived through the jumpers and plug and pray days with PC hardware I'd say it's a bit of a renaissance. 😂 | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvu7zg/ | 1,789,194,765 | batch-priority-2026-summer |
orvugfc | LocalLLaMA | 1u6tdjk | orvu7zg | 3 | bigh-aus | 1,781,565,426 | Agreed! | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvugfc/ | 1,789,194,765 | batch-priority-2026-summer |
orvxm1m | LocalLLaMA | 1u6tdjk | orvtzx5 | 3 | mltam | 1,781,566,467 | Sorry, I forgot to put /s at the end of my comment. I thought it wasn't needed. Obviously, I was wrong.
Though, m1 came out in 2020, today I have an A19 pro in my phone. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orvxm1m/ | 1,789,194,765 | batch-priority-2026-summer |
orw96cl | LocalLLaMA | 1u6tdjk | orvarvi | 2 | SmileLonely5470 | 1,781,570,368 | Yes. And also make a Github repo with a bunch of Skills in it. Or an MCP server that makes agents consume more tokens and perform worse. | 34 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orw96cl/ | 1,789,194,765 | batch-priority-2026-summer |
orwallh | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | jreoka1 | 1,781,570,854 | Deepseek flash gets the job done well and it cost me 24 cents for 15.9 million tokens which is a good deal | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orwallh/ | 1,789,194,765 | batch-priority-2026-summer |
orwasu5 | LocalLLaMA | 1u6tdjk | orvarvi | 2 | Inevitable_Mistake32 | 1,781,570,923 | So esoteric, yet I snorted. Don't forget to include your Claude.MD into your repo. | 9 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orwasu5/ | 1,789,194,765 | batch-priority-2026-summer |
orwtxkb | LocalLLaMA | 1u6tdjk | orvarvi | 2 | AndreVallestero | 1,781,577,479 | We have enough harnesses. What we need is high quality benchmarks to compare them all | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orwtxkb/ | 1,789,194,765 | batch-priority-2026-summer |
orwu5sa | LocalLLaMA | 1u6tdjk | orvmsl1 | 1 | patchfoot02 | 1,781,577,558 | This is it. That's why I wish there was a decent provider-agnostic but not local exclusive place reddit so there wouldn't have to be slap fights over 'why do people bring up 1t models in a local reddit'. Not a claude/codex/some harness specific thing/etc, but using whatever is appropriate to the task which is sometimes... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orwu5sa/ | 1,789,194,765 | batch-priority-2026-summer |
orx2c1r | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | RedParaglider | 1,781,580,644 | Build a skill for models to call claude using tmux.
LLM's are the best way to fuck over LLM limitations.
Local LLM hits a wall, use Jules skill to create PR which tags Jules for help.
No api usage only CLI? Tmux.
No Deep Research in console? Playwright.
No smut? Heretic.
No Porn? Z-Image.
No Search? Se... | 10 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orx2c1r/ | 1,789,194,765 | batch-priority-2026-summer |
orxcriv | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | Noiselexer | 1,781,585,026 | Makes total sense. Api access is not the same as the subscription. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orxcriv/ | 1,789,194,765 | batch-priority-2026-summer |
orxdox6 | LocalLLaMA | 1u6tdjk | orvh0ic | 3 | thrownawaymane | 1,781,585,439 | That or coming innovations in lithography are my bets. Or higher yield HBM packaging | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orxdox6/ | 1,789,194,765 | batch-priority-2026-summer |
orxi50k | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | BootyMcStuffins | 1,781,587,460 | You guys act like local LLMs are a drop-in replacement for frontier models and it’s hilarious.
Yeah, running a local agent would be more convenient in a million ways. Every person paying an Anthropic sub is wishing for that.
They’re not there yet. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orxi50k/ | 1,789,194,765 | batch-priority-2026-summer |
orxntyw | LocalLLaMA | 1u6tdjk | orvarvi | 2 | BoobooSmash31337 | 1,781,590,194 | Thanks Claude. /s | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orxntyw/ | 1,789,194,765 | batch-priority-2026-summer |
orxsc24 | LocalLLaMA | 1u6tdjk | orwallh | 1 | 8RETRO8 | 1,781,592,385 | Need to specify which job, I just blowed 40$ on Opus 4.8 API and did not resolve my issue. But I didn't know that openrouter web chat doesn't support caching, that's on me. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orxsc24/ | 1,789,194,765 | batch-priority-2026-summer |
ory21ne | LocalLLaMA | 1u6tdjk | orwtxkb | 3 | No_Afternoon_4260 | 1,781,597,370 | True this ^ sadly making a good benchmark and letting it be recognised organically will probably take more time then it's life span | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/ory21ne/ | 1,789,194,765 | batch-priority-2026-summer |
orydhot | LocalLLaMA | 1u6tdjk | orw96cl | 3 | KickLassChewGum | 1,781,603,324 | You know what's _really_ missing? Something that allows agents to have *memory*. Isn't it *crazy* how they always have to read all the context from scratch?! I wish someone *came up* with something! | 12 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orydhot/ | 1,789,194,765 | batch-priority-2026-summer |
oryhfj4 | LocalLLaMA | 1u6tdjk | orvxm1m | 4 | dryadofelysium | 1,781,605,215 | all good, it was the middle of the night and I was tired and barely paid attention | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/oryhfj4/ | 1,789,194,765 | batch-priority-2026-summer |
oryq6oc | LocalLLaMA | 1u6tdjk | orwtxkb | 3 | darksteelsteed | 1,781,608,921 | I am not so certain. Honestly I feel that most of the secret sauce and innovation will be with the harness more than the model. The other problem i see is that while there are lots of different harness people just don't know about them. They spread via reddit post and word of mouth. If you just ask Google you only g... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/oryq6oc/ | 1,789,194,765 | batch-priority-2026-summer |
orytfe5 | LocalLLaMA | 1u6tdjk | orvarvi | 2 | [deleted] | 1,781,610,157 | [deleted] | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orytfe5/ | 1,789,194,765 | batch-priority-2026-summer |
orzc9z7 | LocalLLaMA | 1u6tdjk | orytfe5 | 3 | Big_Wave9732 | 1,781,616,392 | The vibe coded slop for sure. The comments are just the gravy on the chicken fried steak. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/orzc9z7/ | 1,789,194,765 | batch-priority-2026-summer |
os32ong | LocalLLaMA | 1u6tdjk | orvh0ic | 3 | cmdr-William-Riker | 1,781,653,156 | Combined with a market that promotes innovation over grifting | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/os32ong/ | 1,789,194,765 | batch-priority-2026-summer |
os9dh5k | LocalLLaMA | 1u6tdjk | orv54kz | 1 | onephn | 1,781,730,226 | Use the tools and engage with the community, for years I felt like I never meaningfully contributed but as you talk to people and find/fix problems then bam you find stuff to do | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/os9dh5k/ | 1,789,194,765 | batch-priority-2026-summer |
ot3t8uk | LocalLLaMA | 1u6tdjk | 1u6tdjk | 0 | Codingchym | 1,782,126,234 | This is exactly why building mission-critical backend architectures entirely on closed APIs is a ticking time bomb | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tdjk/reason_to_run_local_agents_instead_645/ot3t8uk/ | 1,789,194,765 | batch-priority-2026-summer |
orv8pqv | LocalLLaMA | 1u6tv18 | 1u6tv18 | 0 | Voxandr | 1,781,558,751 | How you gonna run out with LocalLLMs ? Thats why we exist here and you are not using locallm at all.
Try and come back. | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orv8pqv/ | 1,789,194,786 | batch-priority-2026-summer |
orvad6n | LocalLLaMA | 1u6tv18 | 1u6tv18 | 0 | Fedor_Doc | 1,781,559,218 | The thing i kept coming back to is, why does every agent memory setup need an embedding model and a vector db? mem0, letta, langmem, all of them basically do the same nearest neighbor thing. so I tried just... not doing that.
Usually, what you get after going the other path is the understanding of why everyone chooses... | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvad6n/ | 1,789,194,786 | batch-priority-2026-summer |
orvadei | LocalLLaMA | 1u6tv18 | 1u6tv18 | 0 | Reddit-Liberal | 1,781,559,220 | Qwen | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvadei/ | 1,789,194,786 | batch-priority-2026-summer |
orvadfp | LocalLLaMA | 1u6tv18 | 1u6tv18 | 0 | rmhubbert | 1,781,559,221 | Saying this with kindness, and on the assumption that you are not rage baiting - You are asking this in the wrong sub-reddit. Try https://www.reddit.com/r/aiagents/
You'll find lots of people happy to answer questions about running LLMs locally here, and almost most certainly won't find a lot of sympathy for your issu... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvadfp/ | 1,789,194,786 | batch-priority-2026-summer |
orvamu2 | LocalLLaMA | 1u6tv18 | orv8pqv | 1 | metalvendetta | 1,781,559,297 | I would love to. I used apis primarily because I don't have a local machine good enough to host large local LLMs enough for the benchmark. | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvamu2/ | 1,789,194,786 | batch-priority-2026-summer |
orvb0je | LocalLLaMA | 1u6tv18 | orvad6n | 1 | metalvendetta | 1,781,559,406 | My question while building this was to understand how to track long horizon memory, like the one hermes uses. Memory would require accuracy in such cases, to precisely remember context about user. I believe embeddings perform poorly in preserving that, hence I ran benchmarks | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvb0je/ | 1,789,194,786 | batch-priority-2026-summer |
orvb5o3 | LocalLLaMA | 1u6tv18 | orvadfp | 1 | metalvendetta | 1,781,559,447 | Oh sorry. My bad, I thought this community has a lot of experts hence I posted here. Thanks for the response, will post there. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvb5o3/ | 1,789,194,786 | batch-priority-2026-summer |
orvblu9 | LocalLLaMA | 1u6tv18 | orvamu2 | 2 | redoubt515 | 1,781,559,575 | if not ***local,*** why ask in subreddit dedicatd specifically to ***local*** LLMs? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvblu9/ | 1,789,194,786 | batch-priority-2026-summer |
orvchcv | LocalLLaMA | 1u6tv18 | orvb5o3 | 2 | Voxandr | 1,781,559,830 | Wrong mentality . We use opensource , we host ourself , we help who use opensource and that keep the community grow. So become part of community. Just investing in your monthly fees of APIs to get good hardware to run those models , join the fun. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvchcv/ | 1,789,194,786 | batch-priority-2026-summer |
orvcluw | LocalLLaMA | 1u6tv18 | orvchcv | 3 | metalvendetta | 1,781,559,865 | Learned my lesson. Happily will change my ways | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orvcluw/ | 1,789,194,786 | batch-priority-2026-summer |
orve1v7 | LocalLLaMA | 1u6tv18 | orvb0je | 2 | Fedor_Doc | 1,781,560,283 | I think that the long horizon memory is stored in weights, it is the real baseline. Human beings are constantly training and changing, so it is natural to expect the same type of long memory from models, but they are not there yet.
This brings us to the problem if medium-long memory, or general context, that you can g... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orve1v7/ | 1,789,194,786 | batch-priority-2026-summer |
orveols | LocalLLaMA | 1u6tv18 | orve1v7 | 3 | metalvendetta | 1,781,560,471 | Agreed the real long memory is in the weights, I'm just building the context layer below it, and tested it on LongMemEval, MuSiQue, MMLU-Pro and TextCraft. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6tv18/ran_out_of_api_budget_halfway_through_testing_an/orveols/ | 1,789,194,786 | batch-priority-2026-summer |
orvj67o | LocalLLaMA | 1u6v93u | 1u6v93u | 0 | AutoModerator | 1,781,561,835 | 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/1u6v93u/i_currently_have_an_i7_11390h_with_16_gb_ram_and/orvj67o/ | 1,789,194,783 | batch-priority-2026-summer |
orvpfkb | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | LagOps91 | 1,781,563,800 | very interesting approach! could be a genuine improvement over currently used optimizers. | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/orvpfkb/ | 1,789,194,776 | batch-priority-2026-summer |
orvu0n6 | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | TomLucidor | 1,781,565,282 | 30% gain over Muon? There has to be a catch, right? | 13 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/orvu0n6/ | 1,789,194,776 | batch-priority-2026-summer |
orvx6jb | LocalLLaMA | 1u6vbmh | orvu0n6 | 1 | Thrumpwart | 1,781,566,323 | One way to find out! | 7 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/orvx6jb/ | 1,789,194,776 | batch-priority-2026-summer |
orw6jd8 | LocalLLaMA | 1u6vbmh | orvx6jb | 2 | oxygen_addiction | 1,781,569,465 | By trying it on microGPT or something similar! | 9 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/orw6jd8/ | 1,789,194,776 | batch-priority-2026-summer |
orxukbl | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | R_Duncan | 1,781,593,510 | If true this is not only an increase in convergence speed, this would also greatly increase the information density by a large part: You would get a smarter model with less weights.
As a sidenote, this should be also done by DoRA and other known finetuning techniques. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/orxukbl/ | 1,789,194,776 | batch-priority-2026-summer |
oryd2pz | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | ExplorerWhole5697 | 1,781,603,120 | if reparameterizing weights into magnitude and direction improves optimization, perhaps the deeper question is whether there exists an optimal or even learnable parameterization of neural weights, one that makes gradient based training even better conditioned, more stable, and more transferable across scale... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/oryd2pz/ | 1,789,194,776 | batch-priority-2026-summer |
oryk1ko | LocalLLaMA | 1u6vbmh | orvu0n6 | 1 | Dany0 | 1,781,606,382 | 30% gain but SEVERAL MAGNITUDES less compute for same loss
big if true
EDIT:
Just to clarify - several magnitudes compared to AdamW, and gains are ~~bigger~~ smaller in dense models than MoEs it seems?
EDIT2:
Sorry, I misread. It's just \~2x less compute compared to AdamW. And for dense models it's just 20-50% l... | 7 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/oryk1ko/ | 1,789,194,776 | batch-priority-2026-summer |
os2oook | LocalLLaMA | 1u6vbmh | oryk1ko | 2 | TomLucidor | 1,781,648,751 | How does this change BitNet/ternary then? Or maybe some other alt-architectures? Could this knowledge apply to image generation as well? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/os2oook/ | 1,789,194,776 | batch-priority-2026-summer |
os50w5i | LocalLLaMA | 1u6vbmh | os2oook | 3 | Dany0 | 1,781,680,329 | Ternary/bitnet are famously harder to train. I would wager it doesn't change much
Image generation yes, optimizers are used in ML everywhere | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/os50w5i/ | 1,789,194,776 | batch-priority-2026-summer |
osbcrc8 | LocalLLaMA | 1u6vbmh | os50w5i | 4 | TomLucidor | 1,781,754,017 | Smoothing out training seems to be another part of optimization | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/osbcrc8/ | 1,789,194,776 | batch-priority-2026-summer |
osd9xbm | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | __JockY__ | 1,781,785,636 | Someone please light Fable 5 tokens on fire to implement this in vLLM. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/osd9xbm/ | 1,789,194,776 | batch-priority-2026-summer |
ospxldx | LocalLLaMA | 1u6vbmh | 1u6vbmh | 0 | R_Duncan | 1,781,937,073 | To good to be true, either something is wrong in the description, or false, This is MiniMax-M3 agent result on microgpt:
Honest finding from the comparison sweep: paper-default LRs don't beat plain Adam at toy scale on this codebase. The MD advantage at paper scale isn't visible here.
maybe better luck with Asteria :... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/ospxldx/ | 1,789,194,776 | batch-priority-2026-summer |
otjc422 | LocalLLaMA | 1u6vbmh | ospxldx | 1 | jsonmona | 1,782,312,616 | Did you do a test on Magnitude-Direction Decoupling? If so could you tell us more about it? I'm super interested on actual results of this thing. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/otjc422/ | 1,789,194,776 | batch-priority-2026-summer |
otoezql | LocalLLaMA | 1u6vbmh | otjc422 | 2 | R_Duncan | 1,782,369,133 | AdamW-MD was worse than plain AdamW, same thing with muon. even with LR-sweep, 200 samples/2000 samples nothing changed. The MD maybe has an use when training quantized llm (as precision of direction in quantized version is worse) but I don't have time/compute to test. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/otoezql/ | 1,789,194,776 | batch-priority-2026-summer |
otp1ykx | LocalLLaMA | 1u6vbmh | otoezql | 3 | jsonmona | 1,782,380,656 | Thank you! | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6vbmh/improving_neural_network_training_by_decoupling/otp1ykx/ | 1,789,194,776 | batch-priority-2026-summer |
orwc39h | LocalLLaMA | 1u6xfen | 1u6xfen | 0 | shifu_legend | 1,781,571,366 | AWQ is solving a budget allocation. increasing s for the salient channel shrinks its error term but inflates the shared step size for everything else in that group - there's a saturation point where protecting the salient channel further costs more in the other weights than it saves, which is what the alpha grid search... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6xfen/awq_doesnt_quantize_cleverly_it_just_moves_the/orwc39h/ | 1,789,194,779 | batch-priority-2026-summer |
orwofmz | LocalLLaMA | 1u6xfen | 1u6xfen | 0 | ForsookComparison | 1,781,575,571 | I'm sorry if you put thought into this but I'm just so numb to chatgpt-speak now my brain won't let me read it. I don't care if you think your phrasing isn't up to par just use your own words man | 13 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6xfen/awq_doesnt_quantize_cleverly_it_just_moves_the/orwofmz/ | 1,789,194,779 | batch-priority-2026-summer |
orwpbw0 | LocalLLaMA | 1u6xfen | orwofmz | 1 | No_Progress_5399 | 1,781,575,881 | I agree. I will keep that in mind. Sorry for the inconvenience | -1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u6xfen/awq_doesnt_quantize_cleverly_it_just_moves_the/orwpbw0/ | 1,789,194,779 | batch-priority-2026-summer |
orxz27z | LocalLLaMA | 1u6xfen | 1u6xfen | 0 | Fedor_Doc | 1,781,595,790 | AWQ does not quantize cleverly. It just cleverly moves the rounding error somewhere safe
Fixed the title of your post.
Most clever quantization tricks include "moving" or redistributing of the error. It is a foundation of lossy compression. DCT compression, for example: allow higher errors in less visually important ... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6xfen/awq_doesnt_quantize_cleverly_it_just_moves_the/orxz27z/ | 1,789,194,779 | batch-priority-2026-summer |
ot5z4j4 | LocalLLaMA | 1u6xfen | orwofmz | 1 | colin_colout | 1,782,149,746 | You're absolutely right! | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u6xfen/awq_doesnt_quantize_cleverly_it_just_moves_the/ot5z4j4/ | 1,789,194,779 | batch-priority-2026-summer |
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