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|---|---|---|---|---|---|---|---|---|---|---|---|---|
opwfo93 | LocalLLaMA | 1txhk6y | opvt9lp | 1 | Stepfunction | 1,780,666,111 | The fact that it can even give coherent speech is impressive for only being a fraction of the size of many other models. | 13 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwfo93/ | 1,789,195,043 | batch-priority-2026-summer |
opwgi61 | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | Stepfunction | 1,780,666,364 | I'm getting an error when trying to load the GGUF for the instruct-tuned model:
llama\_model\_load: error loading model: error loading model vocabulary: unknown pre-tokenizer type: 'gpt2' | 0 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwgi61/ | 1,789,195,043 | batch-priority-2026-summer |
opwjfkz | LocalLLaMA | 1txhk6y | opvuogo | 4 | Myrkkeijanuan | 1,780,667,234 | Ding ding ding. AI slop with zero innovation performing as bad as GPT-2-124M from 2019.
You can train a better model in literally two minutes as shown over a few thousand times by the speedrun community. | -3 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwjfkz/ | 1,789,195,052 | batch-priority-2026-summer |
opwraec | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | jmprog | 1,780,669,490 | Getting 50m parameters to talk this reasonably is not easy. Nicely done! | 7 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwraec/ | 1,789,195,043 | batch-priority-2026-summer |
opwt3qs | LocalLLaMA | 1txhk6y | opvqmzk | 1 | LetsGoBrandon4256 | 1,780,669,999 | This comment smells like ozone and sends a shiver down my spine. | 5 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwt3qs/ | 1,789,195,043 | batch-priority-2026-summer |
opwwiv7 | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | spawncampinitiated | 1,780,670,938 | Slopped LLMs now? jeebus... | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opwwiv7/ | 1,789,195,043 | batch-priority-2026-summer |
opx1746 | LocalLLaMA | 1txhk6y | opvvcu6 | 5 | Eyelbee | 1,780,672,215 | I'm not undervaluing your efforts, take it as a constructive criticism. If you knew about the qwen 3.5 series and still went with that one, I'd wanna hear the reasoning behind it. Maybe you didn't know about the difference those had, it's fine. Don't be discouraged, you did some real scientifically valuable work, by ex... | 4 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opx1746/ | 1,789,195,043 | batch-priority-2026-summer |
opx3w0c | LocalLLaMA | 1txhk6y | opx1746 | 6 | Dangerous_Try3619 | 1,780,672,945 | We know Qwen3.5, we just prefer Qwen3 for the smaller versions, i tried the Qwens before generate data, so, don't say a thing without even knowing, and im not hating, i just was using the same logic, and thanks for the support, at least you are not hating without a reason, you are trying to help, really, thanks | 4 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opx3w0c/ | 1,789,195,043 | batch-priority-2026-summer |
opxav3m | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | Afraid_Donkey_481 | 1,780,674,799 | What's the point? | -1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opxav3m/ | 1,789,195,043 | batch-priority-2026-summer |
opxd3nu | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | Queasy-Contract9753 | 1,780,675,393 | I see there's gguf now I'll try it out. Crazy that it can make coherent sentences at this size. What sampler settings do you guys recommend? | 3 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opxd3nu/ | 1,789,195,043 | batch-priority-2026-summer |
opxecx1 | LocalLLaMA | 1txhk6y | opxd3nu | 1 | Dangerous_Try3619 | 1,780,675,732 | For a conservative reasoning try 0.3-0.5, for stability try 0.5-0.7, for creativity try 0.8-1.0, for total chaos try 1.5-2.0+, max new tokens = 512+, top\_p = 0.8-0.9 top\_k = 25 | 2 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opxecx1/ | 1,789,195,043 | batch-priority-2026-summer |
opxs2ij | LocalLLaMA | 1txhk6y | opvqkzm | 1 | ObjectiveVegetable48 | 1,780,679,384 | import import;
with main import alert();
for else in rm -rf /*:
do otherwise;
done;
sys.exit(return) | 13 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opxs2ij/ | 1,789,195,043 | batch-priority-2026-summer |
opymb64 | LocalLLaMA | 1txhk6y | opvtlii | 2 | _TheWolfOfWalmart_ | 1,780,687,745 | Finally something I can run on my Pentium 233 MMX! Thank you. | 8 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opymb64/ | 1,789,195,043 | batch-priority-2026-summer |
opzlx1w | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | M4GMaR | 1,780,698,423 | Why use a dataset made by such a small model?. To my knowledge, the dataset is the most important piece when training an AI, so you should always use the best dataset you can get.
Using a dataset created by Qwen3 1.7B doesn't feel right.
Why not use a bigger model like Qwen 3.6 27B to generate the dataset instead?. | 2 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/opzlx1w/ | 1,789,195,043 | batch-priority-2026-summer |
oq08hgz | LocalLLaMA | 1txhk6y | opzlx1w | 1 | Zealousideal_Lie_850 | 1,780,706,243 | Bigger models produce a complex reasoning, smaller models like that cannot learn from complex reasoning | 6 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq08hgz/ | 1,789,195,043 | batch-priority-2026-summer |
oq0f92p | LocalLLaMA | 1txhk6y | opvt9lp | 1 | [deleted] | 1,780,708,693 | [deleted] | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq0f92p/ | 1,789,195,043 | batch-priority-2026-summer |
oq0q2y8 | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | silenceimpaired | 1,780,712,553 | Sigh, if only it was 50B :)
Still impressive performance! | 2 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq0q2y8/ | 1,789,195,043 | batch-priority-2026-summer |
oq12ue1 | LocalLLaMA | 1txhk6y | oq0f92p | 2 | CooperDK | 1,780,717,315 | Well, it works sort of the opposite direction.
Let's say you want to create a character based on Hatsune Miku. You want her to stand with parted (spread) legs, wear an eyepatch bikini, and wink at you. It should be rated sensitive, but not explicit.
You then pass the model this prompt:
"\[GEN\] 1girl , hat... | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq12ue1/ | 1,789,195,043 | batch-priority-2026-summer |
oq14tr4 | LocalLLaMA | 1txhk6y | opvsqcu | 1 | CooperDK | 1,780,718,097 | I like it as a proof of concept. It may have limited usability but probably some. | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq14tr4/ | 1,789,195,043 | batch-priority-2026-summer |
oq15iw0 | LocalLLaMA | 1txhk6y | opymb64 | 3 | Dangerous_Try3619 | 1,780,718,376 | Look at that, the model that responded correctly is quantized in 2Bit! A 10-20MB size file answering that!
https://preview.redd.it/hoqg961w5l5h1.png?width=1017&format=png&auto=webp&s=a10354e39b64995153dbabee3f114dd3f446be49
| 8 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq15iw0/ | 1,789,195,043 | batch-priority-2026-summer |
oq17k90 | LocalLLaMA | 1txhk6y | opwraec | 1 | Dangerous_Try3619 | 1,780,719,227 | Thanks!!! | 2 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq17k90/ | 1,789,195,043 | batch-priority-2026-summer |
oq17or9 | LocalLLaMA | 1txhk6y | opwgi61 | 1 | Dangerous_Try3619 | 1,780,719,280 | Try using the reasoning version GGUF, it is fixed and talks like the instruction tuning version
https://preview.redd.it/7k7q72wn8l5h1.png?width=1017&format=png&auto=webp&s=b043acd22cb8a057a6fd202be85df7510fddcc5c
| 3 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq17or9/ | 1,789,195,043 | batch-priority-2026-summer |
oq27yqb | LocalLLaMA | 1txhk6y | opxs2ij | 2 | More-Curious816 | 1,780,737,516 | run fine on my Ubuntu system | 3 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq27yqb/ | 1,789,195,043 | batch-priority-2026-summer |
oq284u0 | LocalLLaMA | 1txhk6y | opvt9lp | 1 | More-Curious816 | 1,780,737,611 | tell me more about your Danbooru prompt generator | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq284u0/ | 1,789,195,043 | batch-priority-2026-summer |
oq2x5ga | LocalLLaMA | 1txhk6y | 1txhk6y | 0 | fullmetaljackass | 1,780,749,113 | Prompt: Who would win in a fight, Goku or Superman?
>Goku is the superhero of Superman. He was born on October 14th, 1942 in New York City.
>He was a child soldier. He had been raised by his father and loved playing with other children. He was also a student at Hogwarts School. When he was just six year... | 6 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq2x5ga/ | 1,789,195,043 | batch-priority-2026-summer |
oq30v4n | LocalLLaMA | 1txhk6y | oq2x5ga | 1 | Dangerous_Try3619 | 1,780,750,471 | Lol i didn't expected that from the model lol | 1 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq30v4n/ | 1,789,195,043 | batch-priority-2026-summer |
oq3jieb | LocalLLaMA | 1txhk6y | oq284u0 | 2 | CooperDK | 1,780,756,647 | Send me a DM. I will let you know more tomorrow as I am on my way out. But it works well (still training though) | 1 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq3jieb/ | 1,789,195,043 | batch-priority-2026-summer |
oq3wpxd | LocalLLaMA | 1txhk6y | opwwiv7 | 1 | Dangerous_Try3619 | 1,780,760,617 | ???? | 1 | true | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq3wpxd/ | 1,789,195,043 | batch-priority-2026-summer |
oq51b3s | LocalLLaMA | 1txhk6y | opvtk3q | 3 | No_Afternoon_4260 | 1,780,772,681 | These are the best comments ever lol.
Got a couple of these for the past 2 years and looool what happened | 2 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oq51b3s/ | 1,789,195,043 | batch-priority-2026-summer |
oqe8sw0 | LocalLLaMA | 1txhk6y | opvvgia | 1 | NoahFect | 1,780,895,021 | (Shrug) It's more or less correct. What we call AI is a narrower field than what we call ML, which is a general term for learning from data. Simple linear regression is arguably ML, but nobody would call it AI. | 2 | false | /r/LocalLLaMA/comments/1txhk6y/new_model_supralabs_just_released_a_new_model/oqe8sw0/ | 1,789,195,043 | batch-priority-2026-summer |
opvrzhf | LocalLLaMA | 1txhvoa | 1txhvoa | 0 | AutoModerator | 1,780,657,908 | 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/1txhvoa/turn_your_llm_into_a_one_piece_character_12_devil/opvrzhf/ | 1,789,195,042 | batch-priority-2026-summer |
opwgkc6 | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | blastbottles | 1,780,666,383 | Gemma 4 12B will fit entirely in your GPU and is good in all of these domains | 4 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwgkc6/ | 1,789,195,041 | batch-priority-2026-summer |
opwgqfx | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | Comfortable_Ebb7015 | 1,780,666,434 | For your hardware, your best llms are qwen3.6 35b a3b, Gemma4 26b a4b or Gemma 4 12b.
Atl least there are the most known and recent. And I am sure they run well on your PC | 3 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwgqfx/ | 1,789,195,041 | batch-priority-2026-summer |
opwhtsm | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | New_Comfortable7240 | 1,780,666,762 | - Gemma 4 12B (general chat) or the 26B moe
- Qwen 3.6 27B GGUF (code and planning)
- Qwen 3.6 35B A3B (agentic)
Use llama.cpp for experiments then move to ik_llama when you find the flow for you
- Flux 2 Klein 9B (image)
- Wan 2.2 KV GGUF or FP8 (videos)
- Most audio/music should work
Use comfyUI for experi... | 3 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwhtsm/ | 1,789,195,041 | batch-priority-2026-summer |
opwirw5 | LocalLLaMA | 1txkdxi | opwgqfx | 1 | i5_8300h | 1,780,667,043 | Alright, thanks! | 1 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwirw5/ | 1,789,195,041 | batch-priority-2026-summer |
opwiu35 | LocalLLaMA | 1txkdxi | opwgkc6 | 1 | i5_8300h | 1,780,667,061 | That's two votes for Gemma 4 12B - will check it out! | 1 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwiu35/ | 1,789,195,041 | batch-priority-2026-summer |
opwj0ug | LocalLLaMA | 1txkdxi | opwhtsm | 1 | i5_8300h | 1,780,667,116 | Thanks for the advice! Haven't tried comfyUI at all, so that will be fun to see /:D
| 2 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwj0ug/ | 1,789,195,058 | batch-priority-2026-summer |
opwjeu1 | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | Interesting-Ad689 | 1,780,667,229 | Looks like you got the same starting point as me. I build my rig and wanted to do more then gaming, putting it to use for something more meaningful then being half unemployed and bored on gaming load. | 2 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwjeu1/ | 1,789,195,066 | batch-priority-2026-summer |
opwl5py | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | Adventurous-Paper566 | 1,780,667,734 | For your GPU :
Best chatbot : Gemma 4 12B
Best tool : Qwen 9B
Just test differents quants from Q4_K_XL to Q6.
EDIT : 12B QAT is available.
You can try 35B A3B Q4_K_XL with or without MTP with some layers on CPU, but it will be more tricky and require more time to setup, but once done it could be your daily drive... | 5 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwl5py/ | 1,789,195,041 | batch-priority-2026-summer |
opwls0q | LocalLLaMA | 1txkdxi | opwhtsm | 1 | tzeusd | 1,780,667,912 | > Gemma 4 12B (general chat) or the 26B moe
>
> Qwen 3.6 27B GGUF (code and planning)
>
> Qwen 3.6 35B A3B (agentic)
Can I ask how? Or what quants? I've looked on hugging face, but most Q4 quants exceed the 16GB VRAM. the only ones that would fit are Gemma4 12B - Q6, and Gemma4 26B - IQ4_XS. Other than that they do... | 3 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwls0q/ | 1,789,195,041 | batch-priority-2026-summer |
opwpcs9 | LocalLLaMA | 1txkdxi | opwls0q | 2 | SubstantialGain9823 | 1,780,668,939 | With MoE models like Qwen 3.6 35B A3B, offloading is definitely a viable option. There’s a video on the Codacus channel on YouTube explaining that. AFAIK this is only viable with llama.cpp. | 2 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwpcs9/ | 1,789,195,047 | batch-priority-2026-summer |
opws7hx | LocalLLaMA | 1txkdxi | opwls0q | 2 | LetsGoBrandon4256 | 1,780,669,749 | MoE models tolerate system RAM offload very well so not being able to fit into VRAM is much less of an issue compared to dense models. | 1 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opws7hx/ | 1,789,195,047 | batch-priority-2026-summer |
opwt6y8 | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | ea_man | 1,780,670,024 | I have 16GB as you, that's what I use for coding: [https://store.piffa.net/lm/lm\_site/index.html](https://store.piffa.net/lm/lm_site/index.html) | 2 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opwt6y8/ | 1,789,195,066 | batch-priority-2026-summer |
opx603h | LocalLLaMA | 1txkdxi | opwpcs9 | 3 | Comfortable_Ebb7015 | 1,780,673,515 | MoE qwen 35b and Gemma 26b run at good speed even on my son's rtx3070 with 8gb vram | 1 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opx603h/ | 1,789,195,047 | batch-priority-2026-summer |
opxrepj | LocalLLaMA | 1txkdxi | opwl5py | 1 | ttkciar | 1,780,679,208 | Yup, I came here to say more or less this, too.
The dense models (Gemma-4-12B-it, Qwen3.5-9B) sufficiently quantized should fit along with context in 16GB easy-peasy, but with some fiddling OP might find superior competence at comparable inference speed with MoE models (Gemma-4-26B-A4B-it or Qwen3.6-35B-A3B) with the ... | 3 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/opxrepj/ | 1,789,195,041 | batch-priority-2026-summer |
oq1oih2 | LocalLLaMA | 1txkdxi | 1txkdxi | 0 | EuphoricFrosting5497 | 1,780,727,236 | congrats on the new rig, that 16gb vram is gonna be super handy for local models. i use deepseek-coder-v2 lite for python scripts and it handles debugging really well without eating all your memory. for worldbuilding, i really like qwen2.5-14b, its super coherent and stays on track nicely. just make sure u use llama.cp... | 2 | null | /r/LocalLLaMA/comments/1txkdxi/got_my_first_desktop_machine_want_model/oq1oih2/ | 1,789,195,066 | batch-priority-2026-summer |
opwl5ua | LocalLLaMA | 1txloeh | 1txloeh | 0 | AutoModerator | 1,780,667,735 | 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/1txloeh/comment/opwl5ua/ | 1,789,195,044 | batch-priority-2026-summer |
opwoshp | LocalLLaMA | 1txm54u | 1txm54u | 0 | AutoModerator | 1,780,668,779 | 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/1txm54u/tokenomics_does_local_make_you_better_and_more/opwoshp/ | 1,789,195,044 | batch-priority-2026-summer |
opwths7 | LocalLLaMA | 1txm6tw | 1txm6tw | 0 | skeole | 1,780,670,108 | did you check temperatures? could be an overheating issue. also, i remember pi used to include very granular timestamps in its system / dev messages, with seconds / ms precision, which invalidates kv cache so prompt processing starts from scratch with every message. if you build up enough context that might make your g... | 3 | null | /r/LocalLLaMA/comments/1txm6tw/strange_bug_using_llamacpp_server/opwths7/ | 1,789,195,048 | batch-priority-2026-summer |
opwwfb9 | LocalLLaMA | 1txm6tw | 1txm6tw | 0 | Shoddy_Bed3240 | 1,780,670,911 | Try using -fitt to free up more VRAM, and consider undervolting your GPU. If neither helps, your GPU or CPU is probably dying. | 1 | null | /r/LocalLLaMA/comments/1txm6tw/strange_bug_using_llamacpp_server/opwwfb9/ | 1,789,195,048 | batch-priority-2026-summer |
opwz039 | LocalLLaMA | 1txmg2b | 1txmg2b | 0 | _ballzdeep_ | 1,780,671,615 | Probably Gemma 4 | -1 | null | /r/LocalLLaMA/comments/1txmg2b/comment/opwz039/ | 1,789,195,047 | batch-priority-2026-summer |
oqr2ltm | LocalLLaMA | 1txmg2b | 1txmg2b | 0 | brahh85 | 1,781,053,609 | i would try omnivoice because its good in dialects, but in my case just if cloning | 1 | null | /r/LocalLLaMA/comments/1txmg2b/comment/oqr2ltm/ | 1,789,195,047 | batch-priority-2026-summer |
opx4ct6 | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | okoyl3 | 1,780,673,070 | Just add 86 to CUDA architectures. (ampere is 86)
CMAKE_CUDA_ARCHITECTURES="120;86” | 5 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx4jft | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | DefactoAle | 1,780,673,119 | I used WSL for a way more intuitive and fast install/compile, as a bonus point you also have everything compartmentalized | 3 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx4zs5 | LocalLLaMA | 1txnxxq | opx4jft | 1 | VampiroMedicado | 1,780,673,241 | In WSL can I run llama-serve to my local network? I connect to it from my laptop.
I guess yes, I'm going to investigate that. | 2 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx5bpb | LocalLLaMA | 1txnxxq | opx4zs5 | 2 | DefactoAle | 1,780,673,331 | Yes, although I think you need to set it up. I did it months ago so I don't remember exactly how. | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx5v6d | LocalLLaMA | 1txnxxq | opx4ct6 | 1 | VampiroMedicado | 1,780,673,478 | I expected more changes.
Thanks. | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx7r0j | LocalLLaMA | 1txnxxq | opx4zs5 | 2 | PaceZealousideal6091 | 1,780,673,981 | Please don't use WSL unless you have a specific usecase. Use either linux or windows. You'll be leaving performance off the table when using WSL. | 7 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx7yru | LocalLLaMA | 1txnxxq | opx7r0j | 3 | VampiroMedicado | 1,780,674,038 | Ok, I guess the overhead is not worth it. | 2 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx8ssr | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | NickCanCode | 1,780,674,254 | You can just ask an agent to write the build script for you and fix anything along the way. This is how I do it. | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx8v1p | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | Much-Farmer-2752 | 1,780,674,270 | If i'm not mistaken - autodetect works. You simply can skip architecture flag and just point out to use CUDA or HIP. llama.cpp will build binaries for the cards it will see at the system at the build time. | 2 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx8zy4 | LocalLLaMA | 1txnxxq | opx8ssr | 1 | VampiroMedicado | 1,780,674,305 | Oh me too, but reading here I found more interesting flags. That the agents didn't suggest. | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opxawzt | LocalLLaMA | 1txnxxq | opx8zy4 | 2 | NickCanCode | 1,780,674,813 | Here is my build script if you are interested:
[https://pastebin.com/uRBjESpt](https://pastebin.com/uRBjESpt)
Paths are for my setup so you can't use it directly.
Added NCCL support, (require windows port: [https://github.com/SystemPanic/nccl-windows](https://github.com/SystemPanic/nccl-windows) ) which normally m... | 4 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opxbg5x | LocalLLaMA | 1txnxxq | opxawzt | 3 | VampiroMedicado | 1,780,674,954 | Thanks, I didn't know that NCCL had a port. | 3 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opxfvmz | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | Interesting-Ad689 | 1,780,676,138 | I just threw my project using RTX 5070 onto reddit. Might be worth taking a look for you. https://www.reddit.com/r/LocalLLM/comments/1txmztj/fully_local_on_windows_wip_rtx_5070_12gb_vram/ | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opy85g2 | LocalLLaMA | 1txnxxq | 1txnxxq | 0 | giveen | 1,780,683,706 | So here is my build for my 5090, you just need to add CMAKE\_CUDA\_ARCHITECTURES="120;86”
cmake -B "$BUILD\_DIR" -G Ninja \\
\-DCMAKE\_CXX\_COMPILER\_LAUNCHER=ccache \\
\-DCMAKE\_C\_COMPILER\_LAUNCHER=ccache \\
\-DCMAKE\_CUDA\_COMPILER\_LAUNCHER=ccache \\
\-DGGML\_LTO=ON \\
\-DGGML\_CPU\_KLEIDIAI=OFF... | 1 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opykj3a | LocalLLaMA | 1txnxxq | opx7yru | 4 | OriginalTerran | 1,780,687,215 | Actually not that bad if u don't offload model to the ram. The overhead on GPU is very negligible. Just make sure everything is under the wsl filesystem. The file transfer between wsl and Windows filesystem is really slow. | 2 | null | null | 1,789,195,045 | batch-priority-2026-summer |
opx630y | LocalLLaMA | 1txob58 | 1txob58 | 0 | AutoModerator | 1,780,673,537 | 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/1txob58/blumi_cli_a_localfirst_agentic_coding_assistant/opx630y/ | 1,789,195,051 | batch-priority-2026-summer |
opx7lls | LocalLLaMA | 1txohnl | 1txohnl | 0 | AutoModerator | 1,780,673,942 | 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/1txohnl/comment/opx7lls/ | 1,789,195,044 | batch-priority-2026-summer |
opy34ti | LocalLLaMA | 1txpoe1 | 1txpoe1 | 0 | OsmanthusBloom | 1,780,682,342 | I wonder how these compare against NuExtract3 for extracting structured information from PDF documents. Has anyone done a comparison? | 1 | null | /r/LocalLLaMA/comments/1txpoe1/comment/opy34ti/ | 1,789,195,257 | batch-priority-2026-summer |
opy6hnb | LocalLLaMA | 1txq6td | 1txq6td | 0 | scarbunkle | 1,780,683,255 | There is already a world building project called world forge: https://worldforge.me/ | 2 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/opy6hnb/ | 1,789,195,268 | batch-priority-2026-summer |
opy9692 | LocalLLaMA | 1txq6td | opy6hnb | 1 | Ok-Aide-3120 | 1,780,683,984 | Not the same thing. This is meant for building Silly Tavern compatible worlds, in multiple arcs with character growth and other features. I have just added sandbox mode recently. It's meant for roleplaying. | 2 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/opy9692/ | 1,789,195,268 | batch-priority-2026-summer |
opy9vjk | LocalLLaMA | 1txq6td | opy9692 | 2 | scarbunkle | 1,780,684,176 | Yes, but you should be aware that your worldbuilding project has the same name as an existing project. That’s generally a trademark concern. | 3 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/opy9vjk/ | 1,789,195,268 | batch-priority-2026-summer |
opyanja | LocalLLaMA | 1txq6td | opy9vjk | 3 | Ok-Aide-3120 | 1,780,684,392 | Fair enough. Though mine is open source project on github, with a CC0 license. Names are similar, but not quite. There is no copyright on mine. However, I will keep that in mind. | 1 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/opyanja/ | 1,789,195,268 | batch-priority-2026-summer |
oq0ggbr | LocalLLaMA | 1txq6td | 1txq6td | 0 | Confident_Ideal_5385 | 1,780,709,135 | Had a look at this, doesn't look like you're injecting any external novelty via tools? Feels like this will just smear the user prompt across the clanker's weights.
Claude Shannon is the baddest motherfucker in the room. Give your clanker some tools:
- wikipedia
- tv tropes
- name generator (nobody likes Elara T... | 1 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/oq0ggbr/ | 1,789,195,268 | batch-priority-2026-summer |
oq0snea | LocalLLaMA | 1txq6td | oq0ggbr | 1 | Ok-Aide-3120 | 1,780,713,502 | I think you miss the point of this project. It's not about smearing user prompts or name generator. This is about building a consistent and structured world for roleplaying in. It doesn't just generate one for you. It takes you input on what exactly do you want. It asks questions, it pushed back when it feels things ar... | 1 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/oq0snea/ | 1,789,195,268 | batch-priority-2026-summer |
oq10dga | LocalLLaMA | 1txq6td | opy9vjk | 3 | aboutthednm | 1,780,716,390 | Besides the trade mark concern, it will make finding it on Google that much harder. Googling "world forge" (without the "GitHub" keyword) brings up a slew of unrelated and similarly named projects with "world" or "forge" in their name. | 3 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/oq10dga/ | 1,789,195,268 | batch-priority-2026-summer |
oq5of0l | LocalLLaMA | 1txq6td | 1txq6td | 0 | LocalLLaMA-ModTeam | 1,780,779,943 | Rule 4 | 1 | null | /r/LocalLLaMA/comments/1txq6td/removed_by_moderator/oq5of0l/ | 1,789,195,268 | batch-priority-2026-summer |
opxley2 | LocalLLaMA | 1txq7nb | 1txq7nb | 0 | AutoModerator | 1,780,677,618 | 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/1txq7nb/another_llm_benchmark_sorry_but_this_ones/opxley2/ | 1,789,195,253 | batch-priority-2026-summer |
opxm0l1 | LocalLLaMA | 1txqaa9 | 1txqaa9 | 0 | AutoModerator | 1,780,677,777 | 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/1txqaa9/built_an_11philosopher_council_that_runs_fully/opxm0l1/ | 1,789,195,254 | batch-priority-2026-summer |
opxw55c | LocalLLaMA | 1txrk5a | 1txrk5a | 0 | AutoModerator | 1,780,680,472 | 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/1txrk5a/dual_5060_ti_16gb_in_a_dell_r740/opxw55c/ | 1,789,195,253 | batch-priority-2026-summer |
opyawm8 | LocalLLaMA | 1txte8o | 1txte8o | 0 | AutoModerator | 1,780,684,463 | 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/1txte8o/imagine_a_multiagent_virtual_corporation_that/opyawm8/ | 1,789,195,253 | batch-priority-2026-summer |
opyieya | LocalLLaMA | 1txud83 | 1txud83 | 0 | AutoModerator | 1,780,686,576 | 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/1txud83/would_you_trust_ai_agents_more_if_they_ran_inside/opyieya/ | 1,789,195,254 | batch-priority-2026-summer |
opyl4dh | LocalLLaMA | 1txuqth | 1txuqth | 0 | AutoModerator | 1,780,687,395 | 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/1txuqth/atlas_os_personal_ai_os_with_pluggable_local_llm/opyl4dh/ | 1,789,195,253 | batch-priority-2026-summer |
opypj7i | LocalLLaMA | 1txvbgv | 1txvbgv | 0 | AutoModerator | 1,780,688,680 | 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/1txvbgv/deleted_by_user/opypj7i/ | 1,789,195,254 | batch-priority-2026-summer |
opyqcfy | LocalLLaMA | 1txvf6a | 1txvf6a | 0 | AutoModerator | 1,780,688,912 | 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 |
opyvwww | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | dsanft | 1,780,690,499 | I don't understand, you've always been able to do CPU inference. | 7 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opywc6v | LocalLLaMA | 1txw0t3 | opyvwww | 1 | arbv | 1,780,690,621 | They go into some weeds on how to speed-up inference on large systems. | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opyxmj4 | LocalLLaMA | 1txw0t3 | opyvwww | 1 | Maleficent-Ad5999 | 1,780,690,992 | yes, but at what speeds? Can you share the rough tps for Qwen 3.6 27B in pure cpu based inference? | 2 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opyymka | LocalLLaMA | 1txw0t3 | opyxmj4 | 2 | Tanto63 | 1,780,691,278 | Not OP, but I'm running a similar setup as the author at 2.7t/s. E5-2680v2, 128GB DDR3, Qwen 3.6 35B. | 3 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opyyrxt | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | Mathias0910 | 1,780,691,321 | Do they ever show the tokens/sec? | 3 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opyz389 | LocalLLaMA | 1txw0t3 | opyymka | 3 | No_Hedgehog_7563 | 1,780,691,410 | What do you even do with 2.7t/s? Genuinely curious, as I've tried some models and at \~10t/s it felt really bad. I guess for some background tasks could work, but anything "live" would be a pain. | 3 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz0czo | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | geek_at | 1,780,691,776 | pretty useless without the t/s metrics. Glad I didn't read it and just had claude answer me the question about t/s not being mentioned | 3 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz1c85 | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | New-Implement-5979 | 1,780,692,056 | Where is the tps?!? | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz1phg | LocalLLaMA | 1txw0t3 | opyxmj4 | 2 | dsanft | 1,780,692,162 | I see 55tok/s prefill and about 7tok/s decode in pure CPU inference, cross socket tensor parallel, Xeon Gold 6238r with 768GB DDR4-2933. That's without MTP (still tuning that). Had to write my own inferencing engine to get it though. | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz1vc1 | LocalLLaMA | 1txw0t3 | opyyrxt | 1 | arbv | 1,780,692,209 | Yeah, they are not providing it. They have posted some interesting llama-cpp fork flags and that is it. I will probably remove the post to not waste anyone's time. | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz1vv6 | LocalLLaMA | 1txw0t3 | opyz389 | 4 | Tanto63 | 1,780,692,214 | Learning with Hermes. I'm IT by trade but have paused my career to stay at home until my kids are in school. I left just as AI swept in, and I want to make sure I understand the basics before I go back out there.
Edit: yep, all set it and leave work. Basic questions take 20-30 minutes to return answers. | 2 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz2j22 | LocalLLaMA | 1txw0t3 | opyz389 | 4 | ttkciar | 1,780,692,402 | I use a similar rig for CPU inference, E5-2660v3, but I also have a 32GB MI60.
For "fast inference" tasks I use 30B'ish models on the MI60, but for "slow inference" tasks with larger models I just infer pure-CPU, without even bothering to evict the smaller model from VRAM. That way the smaller model is available for ... | 4 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz2wfd | LocalLLaMA | 1txw0t3 | 1txw0t3 | 0 | ttkciar | 1,780,692,512 | Deleted?!? :-( | 1 | null | null | 1,789,195,253 | batch-priority-2026-summer |
opz4by3 | LocalLLaMA | 1txw0t3 | opz1vv6 | 5 | No_Hedgehog_7563 | 1,780,692,930 | Fair enough I guess, if I don't ask for too much, can you give some specific example(s) of what you ask/get? In the sense that is waiting 30 mins worth it versus just googleing/using GPT/Claude/whatever?
Of course, this is besides the act of learning how to use llms locally. | 2 | null | null | 1,789,195,253 | batch-priority-2026-summer |
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