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opz4o34 | LocalLLaMA | 1txw0t3 | opz2j22 | 5 | No_Hedgehog_7563 | 1,780,693,027 | Interesting, I guess with my attention span I'd just go write code myself than let it cook overnight, but the notes thing is neat. | 0 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz56t0 | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | FullstackSensei | 1,780,693,178 | Broadwell, whether with DDR3 or DDR4 is a very underrated CPU. You get four memory channels and a lot of PCIe lanes, 40 gen 3 lanes from the CPU. You also get up to 22 cores.
It's not much known, but Intel really likes to support two memory types on their chips. On the desktop, DD3 is supported all the way to Kaby La... | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz5bz2 | LocalLLaMA | 1txw0t3 | opz4by3 | 6 | Tanto63 | 1,780,693,220 | Usually it's just asking it what steps I need to do for my specific setup, if it's capable of specific tasks, what settings it has that I can tweek to improve its performance, etc.
I'm pretty new to it and still getting it set up, so I don't have a lot of examples of useful tasks. Just keeping Hermes and Ollama from ... | 2 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz8oam | LocalLLaMA | 1txxs1f | 1txxs1f | 0 | AutoModerator | 1,780,694,234 | 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/1txxs1f/deleted_by_user/opz8oam/ | 1,789,195,249 | batch-priority-2026-summer |
opzarz1 | LocalLLaMA | 1txy1sm | 1txy1sm | 0 | AutoModerator | 1,780,694,873 | 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/1txy1sm/i_thought_opensource_models_caught_up_to/opzarz1/ | 1,789,195,249 | batch-priority-2026-summer |
oq0vmt1 | LocalLLaMA | 1ty5gk9 | 1ty5gk9 | 0 | AutoModerator | 1,780,714,607 | 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/1ty5gk9/ds4_as_a_research_agent_cardiac_physiology_not/oq0vmt1/ | 1,789,195,253 | batch-priority-2026-summer |
oq14j7j | LocalLLaMA | 1ty6lm6 | 1ty6lm6 | 0 | AutoModerator | 1,780,717,980 | 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/1ty6lm6/claudetinderbox_locally_embed_and_search_your/oq14j7j/ | 1,789,195,257 | batch-priority-2026-summer |
oq1keq9 | LocalLLaMA | 1ty8nks | 1ty8nks | 0 | NoStage9115 | 1,780,725,170 | whaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa... | -7 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1keq9/ | 1,789,195,253 | batch-priority-2026-summer |
oq1koof | LocalLLaMA | 1ty8nks | 1ty8nks | 0 | Mission_Objective163 | 1,780,725,307 | I don’t know what’s going on here. Can anyone please explain? I was thinking of buying the DDR5 ram ECC memory for my AI desktop build. For 256 GB of that ram it was around six to $9000. I did not buy it obviously, but I was just shocked to see that kind of stupid price. | 3 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1koof/ | 1,789,195,253 | batch-priority-2026-summer |
oq1nfuh | LocalLLaMA | 1ty8nks | oq1koof | 1 | Illustrious_Ant_9242 | 1,780,726,686 | ECC Ram always been at least 2x the price ever since | 3 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1nfuh/ | 1,789,195,253 | batch-priority-2026-summer |
oq1njtm | LocalLLaMA | 1ty8nks | oq1nfuh | 2 | Mission_Objective163 | 1,780,726,743 | Thanks for enlightening me | 3 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1njtm/ | 1,789,195,253 | batch-priority-2026-summer |
oq1p9dj | LocalLLaMA | 1ty8nks | 1ty8nks | 0 | ttkciar | 1,780,727,622 | This will do precisely nothing to remedy RAMageddon.
Could you edit your post, please, to make it clear how this post is relevant to LocalLLaMA? Like, how this technology impacts CPU inference or partial offloading, or anything? | 4 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1p9dj/ | 1,789,195,253 | batch-priority-2026-summer |
oq1ti30 | LocalLLaMA | 1ty8nks | oq1koof | 1 | StableLlama | 1,780,729,794 | To use ECC RAM you usually have a very good explanation why you need it. E.g. as it does the finances of your company.
And then you have the money for it.
Building a RAM heavy AI machine to gain experience usually isn't such a case | 2 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1ti30/ | 1,789,195,253 | batch-priority-2026-summer |
oq1u67m | LocalLLaMA | 1ty8nks | oq1ti30 | 2 | Mission_Objective163 | 1,780,730,143 | I want to be able to train models. And I heard that ECC memory is absolutely required or it will fail silently or something like that. | 0 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1u67m/ | 1,789,195,253 | batch-priority-2026-summer |
oq1uaw8 | LocalLLaMA | 1ty8nks | oq1nfuh | 2 | Mission_Objective163 | 1,780,730,210 | So as I am going to train models and fine tune models do you think it justifies me buying that kind of expensive ECC memory RAM? | 1 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq1uaw8/ | 1,789,195,253 | batch-priority-2026-summer |
oq20en7 | LocalLLaMA | 1ty8nks | 1ty8nks | 0 | ttkciar | 1,780,733,423 | Violates Rule Two: Off-topic
Violates Rule Three: Low-effort | 1 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq20en7/ | 1,789,195,253 | batch-priority-2026-summer |
oq272mf | LocalLLaMA | 1ty8nks | oq1uaw8 | 3 | Illustrious_Ant_9242 | 1,780,737,028 | I generally don't think ECC is necessary. Typically, you'd get it if any outage would halt your 20 employee business | 1 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq272mf/ | 1,789,195,253 | batch-priority-2026-summer |
oq4d72y | LocalLLaMA | 1ty8nks | oq1u67m | 3 | StableLlama | 1,780,765,496 | I don't know who you have talked to. But training is actually self correcting.
Even in the unlikely event of a flipped bit in the weights, the optmizer would see that as a bigger error and then train it away.
So for training the worst that can happen is that it takes longer.
It's not like money transfer where a flipp... | 1 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq4d72y/ | 1,789,195,253 | batch-priority-2026-summer |
oq4t7qb | LocalLLaMA | 1ty8nks | oq4d72y | 4 | Mission_Objective163 | 1,780,770,211 | Yeah, I don’t want to get my time wasted with errors like that. With the question is how often does it happen? If it’s like very rare like once in 10,000 times then I would just ditch ECC memory. | 1 | null | /r/LocalLLaMA/comments/1ty8nks/removed_by_moderator/oq4t7qb/ | 1,789,195,253 | batch-priority-2026-summer |
oq1mgnm | LocalLLaMA | 1ty8x28 | 1ty8x28 | 0 | Reasonable_Goat | 1,780,726,194 | Proprietary Linux-only freeware, haven't seen that in a while. | 3 | null | /r/LocalLLaMA/comments/1ty8x28/comment/oq1mgnm/ | 1,789,195,254 | batch-priority-2026-summer |
oq1rqd6 | LocalLLaMA | 1tya0t5 | 1tya0t5 | 0 | AutoModerator | 1,780,728,883 | 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 | 1,789,195,253 | batch-priority-2026-summer |
oq259cf | LocalLLaMA | 1tyc20m | 1tyc20m | 0 | AutoModerator | 1,780,736,045 | 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/1tyc20m/deleted_by_user/oq259cf/ | 1,789,195,256 | batch-priority-2026-summer |
oq28ppj | LocalLLaMA | 1tycla3 | 1tycla3 | 0 | AutoModerator | 1,780,737,924 | 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/1tycla3/will_homelab_setups_ever_be_viable_for_the/oq28ppj/ | 1,789,195,253 | batch-priority-2026-summer |
oq29214 | LocalLLaMA | 1tycn5r | 1tycn5r | 0 | AutoModerator | 1,780,738,111 | 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/1tycn5r/how_do_you_access_deepseekqwen_apis_from_outside/oq29214/ | 1,789,195,256 | batch-priority-2026-summer |
oq2b4cl | LocalLLaMA | 1tycy9g | 1tycy9g | 0 | AutoModerator | 1,780,739,210 | 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/1tycy9g/practical_first_local_llm_for_a_software_company/oq2b4cl/ | 1,789,195,263 | batch-priority-2026-summer |
oq2ds7a | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | fasti-au | 1,780,740,587 | No prefill flag. Dflash is the prefill. 3090s do 80 on 250 watt.change the u to 1024 | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2g3u1 | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | ill_be_productive | 1,780,741,769 | I have the following config and hits \~85 t/s 5090 power limited to 400w with test prompt:
> Generate a 500 word essay about Socrates
llama-server \
-m ~/Projects/llama.cpp/unsloth/Qwen3.6-27B-MTP-GGUF/Qwen3.6-27B-UD-Q6_K_XL.gguf \
--temp 1.0 \
--top-p 0.95 \
--top-k 20 \
--min-p 0.00 \
-c... | 3 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2h44a | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | Prudent-Ad4509 | 1,780,742,269 | You can try to get some ideas from my options (and re-adjust the numbers for writing instead of coding). Note that I run on 2x5090, so not everything applies.
Take special note of the verbose flag, authors have decided to stop showing **any** useful info about memory allocation on start without it.
`--flash-attn o... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2hj60 | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | suprjami | 1,780,742,472 | Without MTP you can fit the weights and context and buffers on GPU.
With MTP you cannot, so inference is running a few layers on CPU and the GPU is only partially used.
You'll have at least a few CPU cores hitting 100% usage. | 8 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2jvyw | LocalLLaMA | 1tyd9ct | oq2hj60 | 1 | ill_be_productive | 1,780,743,592 | 
Can you help educate me here? According to the Unsloth guide 6bit should be around 25 GB. I'm assuming that's only the weights right, but with 32GB vram that should leave \~6GB for context and buffers which should be "enough" right?
| 2 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2kq4z | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | aelma_z | 1,780,743,976 | mtp does take some vram, maybe that causes ram offload therefore tps drop? | 2 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2nvbd | LocalLLaMA | 1tyd9ct | oq2jvyw | 2 | Edenar | 1,780,745,366 | It's only valid if you are using the GPU for llm alone, if you have your OS desktop, a bunch of YT tabs, etc runnning in the background it's another story. | 2 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2p4u6 | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | tmvr | 1,780,745,910 | I guess you are running out of VRAM when you activate MTP, what is the usage with and without? | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2rog2 | LocalLLaMA | 1tyd9ct | oq2jvyw | 2 | suprjami | 1,780,746,969 | Your GPU has 32768 MiB VRAM.
You said you're using `UD-Q5_K_XL.gguf` so:
19407 MiB weights + 8192 MiB context + ~900 MiB RS + ~675 MiB compute + ~400 MiB driver overhead + 3000 MiB fit target = 32574 MiB
MTP will add another 512 MiB for draft context and ~700 MiB for compute buffer.
You watch the llama.cpp logs to ... | 5 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2zot9 | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | AdamDhahabi | 1,780,750,051 | I've had similar, something changed in the last few releases whereby accidentally some layers where offloaded to CPU, check you CPU usage, if near 100% you also need to add -ngl 99 even though you're using -fit on | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3cgmz | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | WSTangoDelta | 1,780,754,414 | I don’t have a 5090, but my R9700 does have 32GB, and I was able to bet a boost from MTP on 27b from about 29 tps to the low 40-ish range
C:\llama-cpp-src\build\bin\llama-server.exe `
-m M:\LLMs\GGUF\Qwen\Qwen3.6-27B-BASE-UD-Q4_K_XL.gguf `
-md M:\LLMs\GGUF\Qwen\Qwen3.6-27B-MTP-UD-Q4_K_XL.gguf `
--host 0.0.0.0 `... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3fhu8 | LocalLLaMA | 1tyd9ct | oq2h44a | 1 | see_spot_ruminate | 1,780,755,393 | Why not split-mode tensor with the 2x5090? | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3fuvk | LocalLLaMA | 1tyd9ct | oq3fhu8 | 2 | Prudent-Ad4509 | 1,780,755,507 | No p2p-enabled driver installed. I’ll try that later once I have the driver is sorted out. But the performance is sufficient as is for my purposes. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3g7l6 | LocalLLaMA | 1tyd9ct | oq2rog2 | 3 | ill_be_productive | 1,780,755,618 | Thanks for the detailed breakthrough, truly appreciate the help. Just one last question, the context being in RAM. Shouldn’t impact speed that much right? From what I understood as long as the weights are all in VRAM then that’s the most significant? | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3gbfm | LocalLLaMA | 1tyd9ct | oq2nvbd | 3 | ill_be_productive | 1,780,755,651 | Yeah makes sense. Luckily it’s on a completely separate Ubuntu machine for me. So it’s just the GUI that loads but should also be pretty light. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3hj80 | LocalLLaMA | 1tyd9ct | 1tyd9ct | 0 | jdchmiel | 1,780,756,033 | -c 131072 \
-fitt 3000 \
you have to change the context smaller and/or change the fitt to a smaller amount of left over vram. If you are headless you can maybe use fitt 400 ( I have headless ubuntu and r9700 and can get away with that across my cards, but it does vary model to model somewhat). Try a round... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3kzdq | LocalLLaMA | 1tyd9ct | oq3fuvk | 3 | see_spot_ruminate | 1,780,757,104 | Oh, I also don't have p2p enabled (which would speed it up more), but it still works to speed up and spread the loading of the model even if you don't have it. Same(ish) as will vllm.
edit, maybe you will see this edit, because I get (for coding/repetitive tasks) maybe 60t/s with tensor split, ngram, and mtp "chained"... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3ldc5 | LocalLLaMA | 1tyd9ct | oq2hj60 | 1 | BitGreen1270 | 1,780,757,223 | This is what it looks like when it's running. I still have 4GB on my VRAM and GPU is barely hitting 200W. But you're right - the CPU cores are hitting 80%. I switched to Q4\_K\_XL and it went up to 54 t/s and 300W but still pretty pitiful.
| 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3n1q3 | LocalLLaMA | 1tyd9ct | oq2g3u1 | 1 | BitGreen1270 | 1,780,757,731 | This is insane, you're right, I'm getting \~103 t/s on Q5\_K\_XL with this. Even with context bumped up to 131072. GPU usage is what I expect to see.
The only difference is `-parallel 1`. If I remove that, it drops to 60 t/s and GPU usage tanks and CPU usage goes up. What is going on here?
EDI... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3nmqf | LocalLLaMA | 1tyd9ct | oq3kzdq | 4 | Prudent-Ad4509 | 1,780,757,909 | My point was mainly about ngram series parameters, they have affected 100k prompt/context/session processing \*a lot\*.
Everything else was done mostly after gemma suggestions. I have about 100k session context in opencode and I run the same heavy query after each parameter change. The have helped me to drop the execu... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3np1p | LocalLLaMA | 1tyd9ct | oq2kq4z | 1 | BitGreen1270 | 1,780,757,928 | Doesn't seem like it - I still have some VRAM to spare. It's using the CPU for no good reason. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3pce1 | LocalLLaMA | 1tyd9ct | oq3nmqf | 5 | see_spot_ruminate | 1,780,758,430 | No, I get that, and I think you brought up a good point. I think you could just push it a bit more with your setup.
The p2p drivers (when or if you get around to it) could help.
That said, even on my quad5060ti system I get very good results without it. Like without split-mode tensor, the gpu's don't "max" out their... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq3s1n1 | LocalLLaMA | 1tyd9ct | oq3pce1 | 6 | Prudent-Ad4509 | 1,780,759,223 | Thanks.
Btw, I initially thought about optimizing all the other typical parameters like temp/top-k as well, but they seem to be configurable in both UI clients and agent harnesses anyway.
Also, per gemma suggestion, I have reduced --n-gpu-layers value to the actual number of layers (it is 66 for 27B, not 64), this is... | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq48ze4 | LocalLLaMA | 1tyd9ct | oq3np1p | 2 | aelma_z | 1,780,764,259 | Then add \`-lv 4\` flag on startup of llama.cpp, so you can inspect the logs of what is happening under the hood. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq6b539 | LocalLLaMA | 1tyd9ct | oq48ze4 | 3 | BitGreen1270 | 1,780,787,754 | Thank you - I realized what the problem was - I accidentally seem to have deleted -ngl 99 from my startup script. Putting it back in boosted the tps again. Appreciate your help 🙏 | 2 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oqen8fk | LocalLLaMA | 1tyd9ct | oq3g7l6 | 4 | PWani_22 | 1,780,902,195 | Any piece in RAM will create substantial speed differences (several fold). I would do all you can to stay within your VRAM. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oqenub7 | LocalLLaMA | 1tyd9ct | oq2h44a | 1 | PWani_22 | 1,780,902,505 | Would you mind sharing more about your config, how you are running the dual 5090s? MB etc? Thank you. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oqeops4 | LocalLLaMA | 1tyd9ct | oqenub7 | 2 | Prudent-Ad4509 | 1,780,902,961 | The usual, 9950x3d with two PCIe 5.0 slots running at x8 because the architecture allocates only 20 pci lanes total for any number of GPUs. This is why the motherboard choice and the number of slots does not matter unfortunately, unless you go for pcie5.0-based epyc or threadripper, or $2k pcie 5.0 switches. | 1 | null | null | 1,789,195,256 | batch-priority-2026-summer |
oq2ua88 | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | sometimes_angery | 1,780,748,010 | Based on what? Vibes? How is an A3B model objectively better than a dense 27B? | 18 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2ua88/ | 1,789,195,256 | batch-priority-2026-summer |
oq2uhdn | LocalLLaMA | 1tyfn13 | oq2ua88 | 1 | Desperate-Data-3747 | 1,780,748,089 | Well the 35b can store more information than a 27b because of more parameters. Sometimes it gives it an edge for larger code snippets | -2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2uhdn/ | 1,789,195,256 | batch-priority-2026-summer |
oq2umnl | LocalLLaMA | 1tyfn13 | oq2ua88 | 1 | StupidScaredSquirrel | 1,780,748,145 | It isn't. But it gets the job done for most tasks so the speedup makes it worth it imo. Use 27b as architect and fallback gives u the best of both worlds | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2umnl/ | 1,789,195,256 | batch-priority-2026-summer |
oq2ut9k | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Protopia | 1,780,748,218 | I doubt that it is the absolute best, but for smaller GPUs where you are offloading layers onto CPU it almost certainly is. | 6 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2ut9k/ | 1,789,195,256 | batch-priority-2026-summer |
oq2uua9 | LocalLLaMA | 1tyfn13 | oq2uhdn | 2 | Sufficient-Bid3874 | 1,780,748,229 | Not nuanced enough to just say that | 7 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2uua9/ | 1,789,195,256 | batch-priority-2026-summer |
oq2uxxm | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Panthau | 1,780,748,268 | This post makes no sense. But its good that youre having fun with your model. | 3 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2uxxm/ | 1,789,195,256 | batch-priority-2026-summer |
oq2vktw | LocalLLaMA | 1tyfn13 | oq2uxxm | 1 | JSVD2 | 1,780,748,512 | How is asking opinions not making sense? | 0 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2vktw/ | 1,789,195,256 | batch-priority-2026-summer |
oq2vm6u | LocalLLaMA | 1tyfn13 | oq2ut9k | 1 | JSVD2 | 1,780,748,527 | It is subjective. I am curious about other findings! | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2vm6u/ | 1,789,195,256 | batch-priority-2026-summer |
oq2vu04 | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Voxandr | 1,780,748,611 | 3.5 122b is still the best. A3B makes so many eager errors in code that it dont familiar , so fast that breaks enterprise code base in 3-4 calls. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2vu04/ | 1,789,195,256 | batch-priority-2026-summer |
oq2vz23 | LocalLLaMA | 1tyfn13 | oq2uxxm | 1 | JSVD2 | 1,780,748,666 | I also said ''seems like'' so im not even giving absolute facts. Just starting a discussion. Maybe focus on giving value instead of saying that without any constructive feedback. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2vz23/ | 1,789,195,256 | batch-priority-2026-summer |
oq2vz2f | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | nonlinearsystems | 1,780,748,666 | I’m a Qwen3 Coder Next stan. Glad you found something that works for you though. | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2vz2f/ | 1,789,195,256 | batch-priority-2026-summer |
oq2wdyn | LocalLLaMA | 1tyfn13 | oq2vu04 | 1 | JSVD2 | 1,780,748,824 | Interesting | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2wdyn/ | 1,789,195,256 | batch-priority-2026-summer |
oq2wjnx | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Hot-Employ-3399 | 1,780,748,885 | 27B so far is best. I don't care of tok/s, I care about shit done/minute and when "why it does code for so long" question arises it's because I launched 35B and forgot. Maybe I'm unlucky, as I don't test for 100 of times, just send what needs to be done, so far it's consistent . | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2wjnx/ | 1,789,195,256 | batch-priority-2026-summer |
oq2wpo3 | LocalLLaMA | 1tyfn13 | oq2umnl | 2 | bgravato | 1,780,748,948 | Model size may matter as well when running on limited RAM. 35B need more RAM to load than 27B, so this can impact context size and/or quantization used...
Lets say that for 35B the best you can get is Q4 and with 27B you may be able to squeeze Q5 or Q6 in, it can make a difference.
Or if using same quantization, 27B ... | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2wpo3/ | 1,789,195,256 | batch-priority-2026-summer |
oq2yau9 | LocalLLaMA | 1tyfn13 | oq2umnl | 2 | ea_man | 1,780,749,541 | That is ofc true and I use A3B quite often, yet:
\- 27b dense is better at MTP / NGRAM / lower quants
\- 27B thinks less usually, if a3B is 2.5x faster but reasons for 4k tokens to get out 2k of code -> we are pretty much close
By all means I use both: A3B for quick question (usually no reasoning) and 27B for long c... | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2yau9/ | 1,789,195,256 | batch-priority-2026-summer |
oq2yopi | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | iChrist | 1,780,749,682 | I tried the 35b and the 27b dense (both Q4 by unsloth) with hermes agent, writing tools that integrate hermes itself with my already running comfyui instance.
Its kinda complex with wsl and windows, vram offloading llama cpp before engaging comfyui.
27B nailed it, 35b made so many mistakes (not registering the tool, n... | 4 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2yopi/ | 1,789,195,256 | batch-priority-2026-summer |
oq2z28c | LocalLLaMA | 1tyfn13 | oq2yopi | 1 | JSVD2 | 1,780,749,821 | Incredible value. thank you so much!!!!! | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2z28c/ | 1,789,195,256 | batch-priority-2026-summer |
oq2z9oe | LocalLLaMA | 1tyfn13 | oq2wjnx | 1 | JSVD2 | 1,780,749,896 | Interesting, so they are comparable? | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq2z9oe/ | 1,789,195,256 | batch-priority-2026-summer |
oq30wmi | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | wllmsaccnt | 1,780,750,485 | In most metrics that attempt to measure the quality of output across the open weight models, 27B and 35B are usually within a few to a handful of percent of each other. Grain(s) of salt, yes.
In most token benchmarks though, 35B is way ahead in performance on both pp/tg. Recent advancements (MTP) have closed the tg ga... | 7 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq30wmi/ | 1,789,195,256 | batch-priority-2026-summer |
oq31a5a | LocalLLaMA | 1tyfn13 | oq30wmi | 1 | JSVD2 | 1,780,750,618 | yes. so truth on your feedback. and your value. I should have used ''seems like a great coding model'' or something. best is very subjective! great constructive feedback, this is what I meant [Panthau](https://www.reddit.com/user/Panthau/) | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq31a5a/ | 1,789,195,256 | batch-priority-2026-summer |
oq31dts | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | JSVD2 | 1,780,750,653 | Would a guide with real coding examples be helpful in any way? | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq31dts/ | 1,789,195,256 | batch-priority-2026-summer |
oq32s7i | LocalLLaMA | 1tyfn13 | oq31a5a | 2 | wllmsaccnt | 1,780,751,146 | I like being verbose when it helps me put my own thoughts together.
Distilled to a brutally concise blurb, my personal opinion is:
RTX 5090 => 27B
Unified Memory Device => 35B-A3B | 5 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq32s7i/ | 1,789,195,256 | batch-priority-2026-summer |
oq338x8 | LocalLLaMA | 1tyfn13 | oq32s7i | 3 | JSVD2 | 1,780,751,309 | Being verbose totally helps with that. thank you so much!!!!!! | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq338x8/ | 1,789,195,256 | batch-priority-2026-summer |
oq34pmo | LocalLLaMA | 1tyfn13 | oq2wpo3 | 3 | StupidScaredSquirrel | 1,780,751,821 | Not quite.
Kv is much larger on 27b than 35b, so for longer context, 35b becomes more attractive, not less. 27b memory requirements really ramp up as you increase context. At fp16 kv cache, and both at q4km, the break even is at about 100k. So if you want a context of more than 100k, 35b takes *less* memory than 27b.... | 7 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq34pmo/ | 1,789,195,256 | batch-priority-2026-summer |
oq362w8 | LocalLLaMA | 1tyfn13 | oq2uhdn | 2 | CalligrapherFar7833 | 1,780,752,291 | 35b with 3b moe activation doesnt activate full 35b | 3 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq362w8/ | 1,789,195,256 | batch-priority-2026-summer |
oq389sl | LocalLLaMA | 1tyfn13 | oq362w8 | 3 | Desperate-Data-3747 | 1,780,753,036 | well obviously | 0 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq389sl/ | 1,789,195,256 | batch-priority-2026-summer |
oq3eees | LocalLLaMA | 1tyfn13 | oq2vktw | 2 | Panthau | 1,780,755,041 | Because of no context at all. Best for what? Vibe coding? Small tasks, large tasks? Which hardware? I doubt that it would be best on a 5090 (winner 27b) or on several rtx 6000. You dont have to answer this now, that doesnt change my statement to your post. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3eees/ | 1,789,195,256 | batch-priority-2026-summer |
oq3fk0h | LocalLLaMA | 1tyfn13 | oq34pmo | 4 | bgravato | 1,780,755,412 | Interesting! I didn't try that big of a context to be honest. I assumed context size would grow similar amount on both, or slightly more on 35B, but I see now that I was wrong. Thanks for pointing it out. I guess 35B MoE can actually make more sense for larger contexts.
I've also been playing around with KV Cache Quan... | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3fk0h/ | 1,789,195,256 | batch-priority-2026-summer |
oq3jpli | LocalLLaMA | 1tyfn13 | oq3eees | 3 | JSVD2 | 1,780,756,710 | That doesnt change the fact that you say its ''nonsense'' without constructive feedback. If you had said this from the beginning, you would have been right, but I had to ask you to get it out of you.
If you said ''this post makes no sense, best for what? etc there is no context'' THAT is constructive feedback. I hope... | 0 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3jpli/ | 1,789,195,256 | batch-priority-2026-summer |
oq3k2r8 | LocalLLaMA | 1tyfn13 | oq3eees | 3 | JSVD2 | 1,780,756,824 | This is context I can work with. And asking opinions makes sense. You can start a discussion, I like this cookie, you? No. why, and clarify with context and information. That's also the way that discussion open up. Instead of saying ''makes no sense'' without any direction to discuss upon. This is called opening a disc... | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3k2r8/ | 1,789,195,256 | batch-priority-2026-summer |
oq3p5w2 | LocalLLaMA | 1tyfn13 | oq2vm6u | 2 | Protopia | 1,780,758,376 | It shouldn't be subjective. There are benchmarks you can run.
But the results may well depend on e.g.
* Your hardware
* Your harness
* Your MCPs
as well as simply the benchmark prompt and eval.
| 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3p5w2/ | 1,789,195,256 | batch-priority-2026-summer |
oq3vnen | LocalLLaMA | 1tyfn13 | oq3p5w2 | 3 | JSVD2 | 1,780,760,300 | yes however, benchmarks aren't a real representation of actual life cases. since the work you do is different (subjective), the things you find to be important (subjective) and your own knowledge/bias/prior experience (subjective), and the lack of comparison from other models( subjective) and so on, it is pretty subjec... | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3vnen/ | 1,789,195,256 | batch-priority-2026-summer |
oq3xy6l | LocalLLaMA | 1tyfn13 | oq31dts | 1 | JSVD2 | 1,780,760,982 | for now I do have benchmarks here, if its helpful; [https://github.com/hogeheer499-commits/strix-halo-guide](https://github.com/hogeheer499-commits/strix-halo-guide) | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq3xy6l/ | 1,789,195,256 | batch-priority-2026-summer |
oq42doi | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Jorlen | 1,780,762,290 | I use 35b-a3b for non-coding tasks or very light stuff. For precise coding, It goes too fast, and it makes too many mistakes for my liking. The speed is nice, I will say that, but I can't trust its code.
For precision I use the 3.6 27b dense model. You will see this method mirrored a lot in this very thread and pre... | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq42doi/ | 1,789,195,256 | batch-priority-2026-summer |
oq44b2f | LocalLLaMA | 1tyfn13 | oq3fk0h | 5 | JSVD2 | 1,780,762,865 | mmmm very interesting. | 0 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq44b2f/ | 1,789,195,256 | batch-priority-2026-summer |
oq44cv1 | LocalLLaMA | 1tyfn13 | oq389sl | 4 | JSVD2 | 1,780,762,880 | Both great comments!!!!! | 0 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq44cv1/ | 1,789,195,256 | batch-priority-2026-summer |
oq44g0l | LocalLLaMA | 1tyfn13 | oq2vz2f | 1 | JSVD2 | 1,780,762,906 | You are totally right too! | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq44g0l/ | 1,789,195,256 | batch-priority-2026-summer |
oq44is9 | LocalLLaMA | 1tyfn13 | oq42doi | 1 | JSVD2 | 1,780,762,929 | Thank you so much for the valuable feedback. I am gonna test it all. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq44is9/ | 1,789,195,256 | batch-priority-2026-summer |
oq45dnh | LocalLLaMA | 1tyfn13 | oq3vnen | 4 | Protopia | 1,780,763,184 | Agreed - every single hardware is different and every single real use case is different.
But having any objective measurement can only better inform. | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq45dnh/ | 1,789,195,256 | batch-priority-2026-summer |
oq45jew | LocalLLaMA | 1tyfn13 | 1tyfn13 | 0 | Accomplished_Fixx | 1,780,763,232 | Today I wanted to vibe code an android app. I reached gimini and planned the scope, stack, and uiux design.
I copied the prompt to qwen 3.6 35b Q4. After a lot of troubleshooting i got it finally to run on Claude Code extension on VSCode. It took the whole day building and fixing.
Just an hour ago it finally built... | 3 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq45jew/ | 1,789,195,256 | batch-priority-2026-summer |
oq4b1sd | LocalLLaMA | 1tyfn13 | oq45jew | 1 | JSVD2 | 1,780,764,864 | wow thank you | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq4b1sd/ | 1,789,195,256 | batch-priority-2026-summer |
oq4b3vs | LocalLLaMA | 1tyfn13 | oq45dnh | 5 | JSVD2 | 1,780,764,881 | totally agree with you. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq4b3vs/ | 1,789,195,256 | batch-priority-2026-summer |
oq5lhva | LocalLLaMA | 1tyfn13 | oq2yopi | 1 | coreyfro | 1,780,779,003 | With 27B, you can get away with lower quants. I would compare 27B Q5 to 35B Q8 to get a better picture. 27B Q4 is fine, but to get parity for testing, Q5 and Q8 are more fair, I feel. | 2 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq5lhva/ | 1,789,195,256 | batch-priority-2026-summer |
oq5n2ed | LocalLLaMA | 1tyfn13 | oq3jpli | 4 | Panthau | 1,780,779,508 | Just like you posted a question without any context, so was my reply. Youre complaining about the exact things, that you delivered. But i still wanted to keep it light with my second sentence. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq5n2ed/ | 1,789,195,256 | batch-priority-2026-summer |
oq5qnst | LocalLLaMA | 1tyfn13 | oq5n2ed | 5 | JSVD2 | 1,780,780,665 | Asking an open-ended question, that invites context, does make sense.
But if your are ignorant, your own post doesnt make sense, if that is the case. Cause it has no context. see how contradicting you are? | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq5qnst/ | 1,789,195,256 | batch-priority-2026-summer |
oq5rmil | LocalLLaMA | 1tyfn13 | oq5qnst | 6 | JSVD2 | 1,780,780,983 | but anyway, i see that you are defensive and project. so let it make no sense. I dont have time for this childish thing. Unless you want to switch it up to constructive feedback. I havent heard your opinion, just bashing. | 1 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oq5rmil/ | 1,789,195,256 | batch-priority-2026-summer |
oumznnc | LocalLLaMA | 1tyfn13 | oq2ua88 | 1 | bl4ckf1sh | 1,782,790,728 | That depends.. I have 28GB vram with 2 GPUs combined, RTX 5070ti 16gb + RTX 3060 12gb. What MOE gives me is the possibility of running 35B MOE q5 model + q4 context with ik\_llama and get 95 t/s. It destroyed the 27B q4 model + q4/q8 context in any test I ran, talking about quality of output for coding. Also, 27b with ... | 4 | null | /r/LocalLLaMA/comments/1tyfn13/qwen3635ba3b_seems_like_the_best_coding_model_rn/oumznnc/ | 1,789,195,256 | batch-priority-2026-summer |
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