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value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
os18lk4 | LocalLLaMA | 1u7k7g9 | 1u7k7g9 | 0 | cr0wburn | 1,781,634,514 | Cool, new toys to play with, thank you! | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os18lk4/ | 1,789,194,772 | batch-priority-2026-summer |
os1a88b | LocalLLaMA | 1u7k7g9 | 1u7k7g9 | 0 | maglat | 1,781,634,942 | Context window is a bit low, but nevertheless I am very interested to test it. I never heard about it before. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os1a88b/ | 1,789,194,772 | batch-priority-2026-summer |
os1cfgm | LocalLLaMA | 1u7k7g9 | os0w0jl | 1 | pmttyji | 1,781,635,520 | I guess we'll be getting one or few more models in bunch of months from them.
[Their unofficial AMA](https://www.reddit.com/r/LocalLLaMA/s/3jIUKTEyRk) | 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os1cfgm/ | 1,789,194,772 | batch-priority-2026-summer |
os1fakx | LocalLLaMA | 1u7k7g9 | os128r6 | 2 | youngbitcoino | 1,781,636,268 | Q2 quant is not even good for RAG, it writes coherently but gets too many things wrong. 😔
Gemma4 31B QAT Q4 on the other hand is spectacular. | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os1fakx/ | 1,789,194,772 | batch-priority-2026-summer |
os1vrm1 | LocalLLaMA | 1u7k7g9 | 1u7k7g9 | 0 | mr_zerolith | 1,781,640,627 | Interesting but 25B active parameters means we're trading quality for speed substantially.
What kind of tokens/sec ya guys seeing on what hardware?
I'm guessing we're in \~50 token/sec land with a pair of RTX PRO 6000's. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os1vrm1/ | 1,789,194,772 | batch-priority-2026-summer |
os24170 | LocalLLaMA | 1u7k7g9 | os1vrm1 | 1 | ttkciar | 1,781,642,801 | That's a good trade-off, IMO.
You can accommodate a slow model by multitasking between independent projects, but there's no easy knob to turn to make it infer at higher quality (though there are some not-so-easy knobs, like RAG and Self-Critique).
Part of it is what you're used to. For me, anything faster than K2-V2... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os24170/ | 1,789,194,772 | batch-priority-2026-summer |
os2f77a | LocalLLaMA | 1u7k7g9 | 1u7k7g9 | 0 | durden111111 | 1,781,645,900 | Something seriously wrong with this model. Outputs are incoherent. Extremely slow too. I think its not supported in llama cpp yet? Bad template? Even the hugging space goes into an infinite thinking loop when asked simple questions.
Using q4km with 56gb vram and 96gb ram | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os2f77a/ | 1,789,194,772 | batch-priority-2026-summer |
os2jg3m | LocalLLaMA | 1u7k7g9 | os0w0jl | 1 | kevin_1994 | 1,781,647,149 | Their new 30B A3B coding model is pretty good. Feels to be roughly on par with Qwen3.6 35B A3B despite it's benchmarks being comparatively underwhelming. Worth a shot | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/os2jg3m/ | 1,789,194,772 | batch-priority-2026-summer |
osnrzou | LocalLLaMA | 1u7k7g9 | os128r6 | 2 | -dysangel- | 1,781,907,213 | Try it. If it is, it is. If not, it's not | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7k7g9/bartowskicommandaplus052026gguf_hugging_face/osnrzou/ | 1,789,194,772 | batch-priority-2026-summer |
os0ys8n | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | Ok_Appearance3584 | 1,781,631,963 | Benchmarks? Is it good enough for me to replace Opus for agentic workloadd? | 18 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os0ys8n/ | 1,789,194,763 | batch-priority-2026-summer |
os0zaaj | LocalLLaMA | 1u7kg4g | os0ys8n | 1 | Available-Craft-5795 | 1,781,632,092 | Staff is currently benchmarking using lm-eval harness on wikitext2 arc-easy and BLiMP | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os0zaaj/ | 1,789,194,763 | batch-priority-2026-summer |
os11e2d | LocalLLaMA | 1u7kg4g | os0ys8n | 1 | Available-Craft-5795 | 1,781,632,635 | Benchmarks have been produced
* arc\_easy (acc): 25.46%
* wikitext-2 (word\_perplexity): 1,765,201
* wikitext-2 (byte\_perplexity): 14.73
* wikitext-2 (bits\_per\_byte): 3.8806
* BLiMP (acc): 52.43%
| 5 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os11e2d/ | 1,789,194,763 | batch-priority-2026-summer |
os12eta | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | --Spaci-- | 1,781,632,899 | I think it might be beneficial to increase the pretraining tokens, at that size you might as well | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os12eta/ | 1,789,194,763 | batch-priority-2026-summer |
os12hf7 | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | Possible-Machine864 | 1,781,632,918 | 512 tokens? What can you even do with that? | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os12hf7/ | 1,789,194,763 | batch-priority-2026-summer |
os12w5r | LocalLLaMA | 1u7kg4g | os12hf7 | 1 | Available-Craft-5795 | 1,781,633,025 | This is the first iteration, newer versions will come with \~1M context window | 4 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os12w5r/ | 1,789,194,763 | batch-priority-2026-summer |
os13486 | LocalLLaMA | 1u7kg4g | os12eta | 1 | Available-Craft-5795 | 1,781,633,082 | Yes, as this is the first version we plan to **massively** increase the pretraining tokens to hundreds of billions.
Currently this version seemed stable though to release | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os13486/ | 1,789,194,763 | batch-priority-2026-summer |
os15b2n | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | [deleted] | 1,781,633,653 | [removed] | 14 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os15b2n/ | 1,789,194,763 | batch-priority-2026-summer |
os15bs3 | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | AnimalPuzzleheaded71 | 1,781,633,658 | More of a general question, will 30-70B models ever become efficient enough to run them fully without any compromises on cheap graphics cards having 4-8gb vram or will LLMs forever remain inefficient and require upwards to 32gb vram of even more compute to run them properly? | -1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os15bs3/ | 1,789,194,763 | batch-priority-2026-summer |
os18gzt | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | DeProgrammer99 | 1,781,634,481 | Is that 2 hidden layers or 2 total layers? Because three total layers is the bare minimum just for XOR, haha. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os18gzt/ | 1,789,194,763 | batch-priority-2026-summer |
os18v0z | LocalLLaMA | 1u7kg4g | os18gzt | 1 | Available-Craft-5795 | 1,781,634,582 | Two hidden lol | 5 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os18v0z/ | 1,789,194,763 | batch-priority-2026-summer |
os191e1 | LocalLLaMA | 1u7kg4g | os15b2n | 1 | Available-Craft-5795 | 1,781,634,629 | Not at this stage sadly, the next iterations will be trained on hundreds of billions of tokens and we hope to achieve that at some point. | 10 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os191e1/ | 1,789,194,763 | batch-priority-2026-summer |
os19hhl | LocalLLaMA | 1u7kg4g | os15bs3 | 1 | Available-Craft-5795 | 1,781,634,748 | Well, 30-70B model will probably get cheaper to run as optimizations and new architectures are found, but overall we at Glint Research think models will start getting smaller while having more knowledge than current larger models today | 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os19hhl/ | 1,789,194,763 | batch-priority-2026-summer |
os2wh06 | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | temperature_5 | 1,781,651,141 | Looking forward to the GGUF! Would this size be good for basics like next word prediction and named entity identification? Classifications like sentiment or SPAM? I have to imagine it's FAST! 😃 | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os2wh06/ | 1,789,194,763 | batch-priority-2026-summer |
os2yue2 | LocalLLaMA | 1u7kg4g | os19hhl | 2 | DragonfruitIll660 | 1,781,651,910 | What do you think of the Deepseek Engram approach? Seems like a good way to cram additional world info into a smaller model by offloading the engram portion to NVME. | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os2yue2/ | 1,789,194,763 | batch-priority-2026-summer |
os36zle | LocalLLaMA | 1u7kg4g | os2wh06 | 1 | Available-Craft-5795 | 1,781,654,568 | "Classifications like sentiment or SPAM"
Actually I think a slightly smaller model could do this! Certainly useful
"I have to imagine it's FAST! "
It was doing \~1.5M tps while training according to the staff member who trained it | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os36zle/ | 1,789,194,763 | batch-priority-2026-summer |
os376x4 | LocalLLaMA | 1u7kg4g | os2yue2 | 3 | Available-Craft-5795 | 1,781,654,635 | I have actually used engram on a older model (published somewhere, forgot lol) and it seems that it actually hurts small models because it needs lots of space to store info, really only helps >1B models sadly 😞 | 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os376x4/ | 1,789,194,763 | batch-priority-2026-summer |
os3914y | LocalLLaMA | 1u7kg4g | os376x4 | 4 | DragonfruitIll660 | 1,781,655,240 | Ah thats super interesting to learn. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os3914y/ | 1,789,194,763 | batch-priority-2026-summer |
os3rlww | LocalLLaMA | 1u7kg4g | os12w5r | 2 | Guilherme370 | 1,781,661,489 | holy based, even if it grow to be as big as 100k params (10x its current size) if you train it to have a context of 1m tokens, at that size, if it is still able to respond yes/no open ended questions in a non random way then its MAAAASSSIIIIIVELY GOOOOOOOD model.
Like, all I need is a model that can say "yes" or "no" ... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/os3rlww/ | 1,789,194,763 | batch-priority-2026-summer |
oslug0k | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | Admirable_Dirt_2371 | 1,781,887,654 | Super cool! I'm working on something similar(but a bit bigger, ~300k parameters, character level, SSM architecture). I checked the model card and didn't find this info but sorry if I missed it somewhere.
Are you using 'standard' BPE tokenization?
Did you use ADAM for your optimizer?
Is the 500k tokens a 'unique' c... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/oslug0k/ | 1,789,194,763 | batch-priority-2026-summer |
otk0n4h | LocalLLaMA | 1u7kg4g | 1u7kg4g | 0 | GibonFrog | 1,782,319,066 | LOL does It produce coherent text? probably not even that right? | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7kg4g/glimmer_1_glint_research_a_foundational_10000/otk0n4h/ | 1,789,194,763 | batch-priority-2026-summer |
os135pk | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | ChampionshipIcy7602 | 1,781,633,093 | Qwen 3.6 | 5 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os135pk/ | 1,789,194,843 | batch-priority-2026-summer |
os13qvg | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | ForsookComparison | 1,781,633,246 | Kimi K2.7 Code is special and probably the strongest, but for me and 99% of folks here it being open weight just means we can shop providers.
In terms of *"I might self host this!"* - Deepseek-V4-Flash is the most exciting in the last month I'd argue. Everything else feels like a fun demo before returning to Qwen 27B | 7 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os13qvg/ | 1,789,194,834 | batch-priority-2026-summer |
os158vk | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | nsfnd | 1,781,633,637 | glm 5.2 | 5 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os158vk/ | 1,789,194,843 | batch-priority-2026-summer |
os16v4h | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | pmttyji | 1,781,634,059 | For recent ones:
[https://www.reddit.com/r/LocalLLaMA/?f=flair\_name%3A%22New%20Model%22](https://www.reddit.com/r/LocalLLaMA/?f=flair_name%3A%22New%20Model%22)
List of Open models released on [April](https://www.reddit.com/r/LocalLLaMA/s/ipg2hwOQtw) & [May](https://www.reddit.com/r/LocalLLaMA/s/ZglWe2k1yL) | 2 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os16v4h/ | 1,789,194,843 | batch-priority-2026-summer |
os1drqf | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | Royal_Sentence7432 | 1,781,635,868 | Gemma is slept on and should be slept with | 8 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os1drqf/ | 1,789,194,834 | batch-priority-2026-summer |
os1v0og | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | Desperate-Data-3747 | 1,781,640,431 | Consumer?
Qwen3.6 series
And gemma4 12b after the initial release of the other gemma4
Thats really it | 6 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os1v0og/ | 1,789,194,834 | batch-priority-2026-summer |
os1v2gg | LocalLLaMA | 1u7l3q3 | os1drqf | 1 | Desperate-Data-3747 | 1,781,640,444 | Which use cases | 0 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os1v2gg/ | 1,789,194,834 | batch-priority-2026-summer |
os1v4il | LocalLLaMA | 1u7l3q3 | os1drqf | 1 | Desperate-Data-3747 | 1,781,640,459 | Same doesn’t apply for chatgpt, it doesn’t want to sleep with me | 1 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os1v4il/ | 1,789,194,834 | batch-priority-2026-summer |
os21wqu | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | ttkciar | 1,781,642,229 | GLM-5.2 dropped *today* :-) | 3 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os21wqu/ | 1,789,194,843 | batch-priority-2026-summer |
os221lk | LocalLLaMA | 1u7l3q3 | os135pk | 1 | No_Mango7658 | 1,781,642,265 | Maybe glm5.2 but for it's size qwen 3.6 27b is very impressive | 4 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os221lk/ | 1,789,194,843 | batch-priority-2026-summer |
os2curc | LocalLLaMA | 1u7l3q3 | os1v4il | 2 | Royal_Sentence7432 | 1,781,645,224 | Push and pull lil brotata thats how you get them young models | -1 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os2curc/ | 1,789,194,834 | batch-priority-2026-summer |
os2dcwm | LocalLLaMA | 1u7l3q3 | os1v2gg | 2 | Royal_Sentence7432 | 1,781,645,367 | Quanting it over the kitchen sink and implementing your mamba into the inner architectura | -1 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/os2dcwm/ | 1,789,194,834 | batch-priority-2026-summer |
ou6epu3 | LocalLLaMA | 1u7l3q3 | 1u7l3q3 | 0 | LocalLLaMA-ModTeam | 1,782,586,641 | Rule 2 | 1 | null | /r/LocalLLaMA/comments/1u7l3q3/removed_by_moderator/ou6epu3/ | 1,789,194,834 | batch-priority-2026-summer |
os15vsv | LocalLLaMA | 1u7lae5 | 1u7lae5 | 0 | xAragon_ | 1,781,633,803 | [https://www.reddit.com/r/LocalLLaMA/comments/1u7kcwf/zaiorgglm52\_is\_here/](https://www.reddit.com/r/LocalLLaMA/comments/1u7kcwf/zaiorgglm52_is_here/) | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7lae5/glm52_is_available_on_huggingchat/os15vsv/ | 1,789,194,783 | batch-priority-2026-summer |
os1og00 | LocalLLaMA | 1u7llqs | 1u7llqs | 0 | audioen | 1,781,638,715 | --spec-draft-p-min 0.95
This is probably too high. Your drafts are likely to be short. I use 0.6 on Qwen3.7-27b. Also, use the better per-speculator statistics, like these:
ngram-mod: #calls(b,g,a) = 1025 82694 9043, #gen drafts = 9043, #acc drafts = 9041, #gen tokens = 90429, #acc tokens = 76848, dur(b,g,a) = 7394.... | 1 | null | /r/LocalLLaMA/comments/1u7llqs/comment/os1og00/ | 1,789,194,864 | batch-priority-2026-summer |
os1qq0l | LocalLLaMA | 1u7llqs | os1og00 | 1 | Mrinohk | 1,781,639,312 | I actually was playing with it a ton yesterday. Had it at .8 before, dropped it to .6 as per another recommendation I read, but saw regressions (close to no mtp, sometimes below). Upped it to .9, got a pretty dramatic bump, .95 improved it further. The model is noticeably faster with it on average. I haven't pushed it ... | 1 | null | /r/LocalLLaMA/comments/1u7llqs/comment/os1qq0l/ | 1,789,194,860 | batch-priority-2026-summer |
os1ms6l | LocalLLaMA | 1u7nlu8 | 1u7nlu8 | 0 | AutoModerator | 1,781,638,272 | 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/1u7nlu8/need_help_making_a_good_text_to_sql_model_with/os1ms6l/ | 1,789,194,765 | batch-priority-2026-summer |
os1ns6o | LocalLLaMA | 1u7nq7x | 1u7nq7x | 0 | AutoModerator | 1,781,638,536 | 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/1u7nq7x/how_do_i_start/os1ns6o/ | 1,789,194,763 | batch-priority-2026-summer |
os1q32z | LocalLLaMA | 1u7nslo | 1u7nslo | 0 | CoolConfusion434 | 1,781,639,144 | Sounds like a neat project. Where does it run? What are the requirements? Will it be available beyond a video 'short' on YouTube? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7nslo/thanks_to_the_help_on_this_board_and/os1q32z/ | 1,789,194,766 | batch-priority-2026-summer |
os1qivg | LocalLLaMA | 1u7nslo | os1q32z | 1 | Bulky-Priority6824 | 1,781,639,260 | Yes I'll probably make the git public once I can get everything done that I want to and commit in a way that isn't hardwired to my own stack. I'm still learning but in time I do plan to do that. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7nslo/thanks_to_the_help_on_this_board_and/os1qivg/ | 1,789,194,766 | batch-priority-2026-summer |
os24xyr | LocalLLaMA | 1u7prym | 1u7prym | 0 | AutoModerator | 1,781,643,043 | 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/1u7prym/is_fable_5_available_a_status_page_that_just_says/os24xyr/ | 1,789,194,807 | batch-priority-2026-summer |
os2a7tu | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | sine120 | 1,781,644,488 | A higher quant of the 27B is probably your best bet. MTP and max out context. | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2a7tu/ | 1,789,194,783 | batch-priority-2026-summer |
os2ak00 | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | jacek2023 | 1,781,644,582 | I use Qwen 27B Q8 (with pi) for few hours almost each day on 3x3090 with the full context (over 200k). I believe you can do same, maybe with lower context or Q6.
My command:
CUDA_VISIBLE_DEVICES=0,1,2 llama-server \
-m /mnt/models2/Qwen/3.6/27B/Qwen3.6-27B-Q8_0.gguf \
-mm /mnt/models2/Qwen/3.6/27B/Qwen3.6... | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2ak00/ | 1,789,194,783 | batch-priority-2026-summer |
os2bmx5 | LocalLLaMA | 1u7qam0 | os2ak00 | 1 | TyedalWaves | 1,781,644,880 | Here's the thing, I tried using Qwen3.6 on Pi and whenever it called tools, it paused and got stuck. Would you possibly know why it does this? If I can fix that, I totally would do this setup. | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2bmx5/ | 1,789,194,783 | batch-priority-2026-summer |
os2bvfa | LocalLLaMA | 1u7qam0 | os2a7tu | 1 | TyedalWaves | 1,781,644,947 | Alright! Thank you sir. Quick Question: What is a good speed in regards to tok/s for a local LLM Coding model with a setup that I have? (I'm new and I love learning!) | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2bvfa/ | 1,789,194,783 | batch-priority-2026-summer |
os2c01j | LocalLLaMA | 1u7qam0 | os2bmx5 | 2 | jacek2023 | 1,781,644,983 | I almost always use between 50% and 100% of full context during my sessions and I always use lots of tools. So no, there are no issues. Try my command first.
additionaly my pi config (probably broken - never set any reasoning settings - but works):
{
"providers": {
"llamacpp": {
"baseUrl... | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2c01j/ | 1,789,194,783 | batch-priority-2026-summer |
os2cb9v | LocalLLaMA | 1u7qam0 | os2c01j | 3 | TyedalWaves | 1,781,645,071 | Okay! Thank you man! I appreciate it. I'm just a young kid trying to figure out how AI works and I appreciate your quick reply and support. I'll let you know if I have any further updates if that's okay with you! | 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2cb9v/ | 1,789,194,783 | batch-priority-2026-summer |
os2cjiw | LocalLLaMA | 1u7qam0 | os2cb9v | 4 | jacek2023 | 1,781,645,135 | posted both configs now, good luck | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2cjiw/ | 1,789,194,783 | batch-priority-2026-summer |
os2cnbs | LocalLLaMA | 1u7qam0 | os2cjiw | 5 | TyedalWaves | 1,781,645,165 | You're awesome! Tysm | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2cnbs/ | 1,789,194,783 | batch-priority-2026-summer |
os2d1wo | LocalLLaMA | 1u7qam0 | os2bvfa | 2 | sine120 | 1,781,645,280 | Whatever you find acceptable. You don't really get to negotiate. I don't have any 3090's, but I'd expect you'd be getting 30-60 tkps with decent PP speeds, which will feel like a normal cloud provider. | 5 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2d1wo/ | 1,789,194,783 | batch-priority-2026-summer |
os2dga5 | LocalLLaMA | 1u7qam0 | os2d1wo | 3 | TyedalWaves | 1,781,645,394 | Ah, okay! Tysm, I was just wondering because when I ran Qwen3.6 35b it hit around 110tok/s but it was super quantized and had no idea what to expect at a higher quant. Again, tysm! | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2dga5/ | 1,789,194,783 | batch-priority-2026-summer |
os2dznv | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | pilibitti | 1,781,645,549 | I can run 35B-A3B at Q8 very comfortably with 12gb vram + 64gb ram. with 2x rtx 3090 you will be better served by 27B or something better. | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2dznv/ | 1,789,194,783 | batch-priority-2026-summer |
os2eqwq | LocalLLaMA | 1u7qam0 | os2ak00 | 1 | trueimage | 1,781,645,768 | What are you using the vision model to do in your workflow? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2eqwq/ | 1,789,194,783 | batch-priority-2026-summer |
os2f33g | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | panamory | 1,781,645,866 | 2 x 3090s have the combined memory bandwidth to run 27b with decent speeds, so you would probably get better results with it. Above 1500 pp and 50 tg with MTP Q5\_K\_XL or Q6\_K\_XL, and still decent numbers and context with Q8\_K\_XL.
I believe the 35B-A3B model is mostly targeted towards scenarios where you have a l... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2f33g/ | 1,789,194,783 | batch-priority-2026-summer |
os2f5w9 | LocalLLaMA | 1u7qam0 | os2eqwq | 2 | jacek2023 | 1,781,645,889 | For example I have explorer/browser in my project and I generate images with it (plots) and then this image is saved in the output dir and I ask my agent "why the fuck it looks incorrectly, fix it" etc | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2f5w9/ | 1,789,194,783 | batch-priority-2026-summer |
os2few1 | LocalLLaMA | 1u7qam0 | os2cnbs | 6 | jacek2023 | 1,781,645,961 | and this is a screenshot from my current work:
https://preview.redd.it/9afj2pa5sp7h1.png?width=2606&format=png&auto=webp&s=cfd70a89ef46c32b5eda44e4472c5096907be0cc
| 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2few1/ | 1,789,194,783 | batch-priority-2026-summer |
os2fm0f | LocalLLaMA | 1u7qam0 | os2f33g | 1 | TyedalWaves | 1,781,646,018 | Omg! Tysm, I appreciate it deeply. I've been trying to learn more about AI. I will definitely try to run the 27b model. One quick question: What is 1500pp and 50tg? What do they mean/do? | 1 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2fm0f/ | 1,789,194,783 | batch-priority-2026-summer |
os2gdcj | LocalLLaMA | 1u7qam0 | os2dga5 | 4 | TheTerrasque | 1,781,646,240 | That's the sparse model. The 27b is dense and smarter, but slower. 30-60 is expected speed for the dense, with mtp enabled | 4 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2gdcj/ | 1,789,194,783 | batch-priority-2026-summer |
os2k95r | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | tomByrer | 1,781,647,392 | [https://github.com/noonghunna/club-3090/blob/master/docs/DUAL\_CARD.md](https://github.com/noonghunna/club-3090/blob/master/docs/DUAL_CARD.md) | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2k95r/ | 1,789,194,783 | batch-priority-2026-summer |
os2m9iz | LocalLLaMA | 1u7qam0 | os2a7tu | 1 | Massive_Criticism539 | 1,781,648,003 | I just gotta say that I setup MTP last night and it literally doubled my t/s. Game changer. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2m9iz/ | 1,789,194,783 | batch-priority-2026-summer |
os2ozbg | LocalLLaMA | 1u7qam0 | os2fm0f | 2 | Massive_Criticism539 | 1,781,648,842 | pp stands for prompt processing. It's usually pretty fast and it's the pre-processing that the model does to break what you ask it (the prompt) up into tokens.
And tg means token generation. This is the thinking speed of your model.
In both cases, high = better. | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2ozbg/ | 1,789,194,783 | batch-priority-2026-summer |
os2qvta | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | Massive_Criticism539 | 1,781,649,430 | So I'm pretty new to all this and I don't really want to fool around with micro optimizations and that stuff so I just decided to use lm studio which uses llama.cpp at the backend anyways and gives me a nice api/chat interface to connect into. I'm also using amd, and so this was part of my decision with not dealing wit... | 3 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2qvta/ | 1,789,194,783 | batch-priority-2026-summer |
os2u99c | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | nicholas_the_furious | 1,781,650,450 | I have 2x 3090s. If you don't use them for your graphics you can do what I do.
Q8 3.6 27b. No KV Cache quant. Use the Unsloth Q8_0 (not XL) quantization with MTP.
Fire up LM Studio. Turn on Tensor Parallelism. Set context to 200k. MTP=4.
Congratulations. You're done. You will get up to 85 t/s on pure code generatio... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2u99c/ | 1,789,194,783 | batch-priority-2026-summer |
os2upcv | LocalLLaMA | 1u7qam0 | os2cjiw | 5 | marking89 | 1,781,650,585 | When using qwen in Pi, dont forget about the thinking format field. When using Shift+Tab, you can toggle thinking on/off, and Pi will make sure llama.cpp respects it. Nice for moments when you want quick, direct answers.
"id": "qwen3.6-27b",
"reasoning": true,
"contextWindow... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2upcv/ | 1,789,194,783 | batch-priority-2026-summer |
os2y9r1 | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | Lirezh | 1,781,651,723 | Instead of 35B you should use 27B for best quality.
Do not stripe your 2x 3090, use it in tensor parallel mode. Otherwise your experience will not be good - slow prefill and slow TG.
Use a 4.5-5 bit quantized model, avoid more than 5 bit for vram- and less than 4.5 bit for quality reasons.
MTP will fit but takes m... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os2y9r1/ | 1,789,194,783 | batch-priority-2026-summer |
os366q5 | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | the-supreme-mugwump | 1,781,654,303 | With double 3090s download q8, q6 of the models you like and run q8 until your close to context limit.
I run gemma4 31b on 2 3090s the q8 gives me 96k context each gpu uses 22gb and the q6 I load 196k context which loads each to 20gb vram used. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os366q5/ | 1,789,194,783 | batch-priority-2026-summer |
os3dw4q | LocalLLaMA | 1u7qam0 | os2u99c | 1 | grumd | 1,781,656,861 | I thought tensor parallelism will be important but it has lower pp and higher tg. You can just run MTP if you want more tg, but you can't improve pp otherwise. So I'm running pipeline parallelism instead | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3dw4q/ | 1,789,194,783 | batch-priority-2026-summer |
os3gkhh | LocalLLaMA | 1u7qam0 | os2dznv | 1 | Desperate-Data-3747 | 1,781,657,757 | What speed you get? | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3gkhh/ | 1,789,194,783 | batch-priority-2026-summer |
os3h94i | LocalLLaMA | 1u7qam0 | os3dw4q | 2 | nicholas_the_furious | 1,781,657,986 | Not my findings. TP has no negative effects on my setup in LM Studio. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3h94i/ | 1,789,194,783 | batch-priority-2026-summer |
os3ieyl | LocalLLaMA | 1u7qam0 | os3h94i | 3 | grumd | 1,781,658,380 | Weird. With 27B Q6_K_L on two GPUs (5080 + 3080 20GB) I get 1700pp/36tg with default llama.cpp and with --split-mode tensor I get 1300pp/46tg.
I had similar experience with 2x 3080-20GB.
What's your prompt processing speed with two 3090s and 27B Q8? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3ieyl/ | 1,789,194,783 | batch-priority-2026-summer |
os3j2bv | LocalLLaMA | 1u7qam0 | os3ieyl | 4 | nicholas_the_furious | 1,781,658,601 | Around 1,000pp. Before TP I remember getting in the 650 range quite often. It takes much longer now to get down that slow. Before TP and MTP I was getting 22 t/s generation. Now I get 55-60 avg and have seen nearly 90.
With how I work PP doesn't usually matter much because of the cache. I'm rarely loading up 50k+ cont... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3j2bv/ | 1,789,194,783 | batch-priority-2026-summer |
os3jyd0 | LocalLLaMA | 1u7qam0 | os3j2bv | 5 | grumd | 1,781,658,893 | Interesting, with 2x3090 I think you should have higher pp. Did you try a CUDA build of llama.cpp directly instead of LM Studio? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3jyd0/ | 1,789,194,783 | batch-priority-2026-summer |
os3nkmj | LocalLLaMA | 1u7qam0 | os3jyd0 | 6 | nicholas_the_furious | 1,781,660,098 | I just cold-loaded 67k context on TP and prompt processing was at 917 tk/s and that prompt generated 8k tokens at 74 tk/s.
With Pipeline Parallelism PP was 1076 tk/s and TG was 63 tk/s. About the same number of tokens generated.
So 17% faster PP in Pipeline Parallel, but 15% faster token generation in Tensor.
I have... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3nkmj/ | 1,789,194,783 | batch-priority-2026-summer |
os3sgxj | LocalLLaMA | 1u7qam0 | os3nkmj | 7 | grumd | 1,781,661,784 | I usually use 27B for coding, it needs to read a TON of files, and generation is okay at anything above 20-30 tps for me. I still need to be able to read what it writes and verify it's not vibecoding shitty code, and MTP can speed it up if needed. The difference between 1300 and 1700 pp is quite big on the other hand, ... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3sgxj/ | 1,789,194,783 | batch-priority-2026-summer |
os3tc5y | LocalLLaMA | 1u7qam0 | os3nkmj | 7 | grumd | 1,781,662,081 | Btw, recently I received my 2x 3080 20GB from Alibaba and done some benchmarks with 27B Q8_0.
This is without MTP at all (to avoid any randomness in speeds) - but still it's weird that your 2x3090 is so much slower in pp than 2x3080. I do suggest you look into compiling latest llama.cpp with CUDA.
```
llama-server -... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os3tc5y/ | 1,789,194,783 | batch-priority-2026-summer |
os4m4cf | LocalLLaMA | 1u7qam0 | os2bmx5 | 2 | leonbollerup | 1,781,673,277 | fix your jinja template.
Try this:
%- set enable\_thinking = false %}
{%- set image\_count = namespace(value=0) %}
{%- set video\_count = namespace(value=0) %}
{%- macro render\_content(content, do\_vision\_count, is\_system\_content=false) %}
{%- if content is string %}
{{- content }}
{%- elif content is ... | 0 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os4m4cf/ | 1,789,194,783 | batch-priority-2026-summer |
os57qul | LocalLLaMA | 1u7qam0 | 1u7qam0 | 0 | lemondrops9 | 1,781,683,875 | LM studio for easy setup with tensor parallelism with 2x 3090s using Qwen3.6 Q6 K MTP with full context gives me 55-80 tk/s
Its been awesome for me. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os57qul/ | 1,789,194,783 | batch-priority-2026-summer |
os6jb6u | LocalLLaMA | 1u7qam0 | os2k95r | 1 | _patsch | 1,781,703,255 | As someone who also runs a dual-3090 setup, I can highly recommend this repo. That comment should be pinned to the top. | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os6jb6u/ | 1,789,194,783 | batch-priority-2026-summer |
os6jlzs | LocalLLaMA | 1u7qam0 | os3gkhh | 2 | pilibitti | 1,781,703,343 | around 40tps. 12 core ryzen cpu (DDR5 AVX512). 3080 Ti 12GB. can even go full context without much headache. Can even run Qwen Coder Next (I believe 80B A3B?) at similar speeds. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os6jlzs/ | 1,789,194,783 | batch-priority-2026-summer |
os8lgjn | LocalLLaMA | 1u7qam0 | os2fm0f | 2 | sagiroth | 1,781,722,863 | For context, i run q5 at 160k context at around 50tkps on single 3090 thanks to Beellama | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os8lgjn/ | 1,789,194,783 | batch-priority-2026-summer |
os8q7tv | LocalLLaMA | 1u7qam0 | os6jb6u | 2 | tomByrer | 1,781,724,087 | I'm not even claiming that is the BEST setup, but a great place to start.
& TBH, the 'best' shifts every month, so hard to pin something down. | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qam0/what_would_be_the_best_coding_setup_for_me_if_i/os8q7tv/ | 1,789,194,783 | batch-priority-2026-summer |
os29f1u | LocalLLaMA | 1u7qat9 | 1u7qat9 | 0 | AutoModerator | 1,781,644,266 | 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/1u7qat9/orbination_ai_v001/os29f1u/ | 1,789,194,791 | batch-priority-2026-summer |
os2b994 | LocalLLaMA | 1u7qgxz | 1u7qgxz | 0 | [deleted] | 1,781,644,775 | [removed] | 8 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2b994/ | 1,789,194,772 | batch-priority-2026-summer |
os2bfjy | LocalLLaMA | 1u7qgxz | os2b994 | 1 | djdeniro | 1,781,644,823 | NIce . looks like 888888888 t/s | 2 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2bfjy/ | 1,789,194,772 | batch-priority-2026-summer |
os2celt | LocalLLaMA | 1u7qgxz | 1u7qgxz | 0 | No_Draft_8756 | 1,781,645,096 | I would go for glm. Maybe find a different way to run it | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2celt/ | 1,789,194,772 | batch-priority-2026-summer |
os2dme0 | LocalLLaMA | 1u7qgxz | os2celt | 1 | djdeniro | 1,781,645,443 | maybe 3 days no success with vllm in pair with GLM-5.1. i think to downgrade into glm-4.7, but MiniMax m2.7 should beat 4.7...
| 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2dme0/ | 1,789,194,772 | batch-priority-2026-summer |
os2dpg5 | LocalLLaMA | 1u7qgxz | 1u7qgxz | 0 | djdeniro | 1,781,645,468 | also work with Qwen3.5-397b-MXFP4, good but context is 80k
| 3 | true | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2dpg5/ | 1,789,194,772 | batch-priority-2026-summer |
os2hheb | LocalLLaMA | 1u7qgxz | 1u7qgxz | 0 | TripleSecretSquirrel | 1,781,646,566 | Woah, that's way faster throughput than I thought you'd get. Unless you've done some very serious hardware hacks, these are all just interconnected via PCIe, right? I thought that latency overhead would murder your tok/s! Is this just regular tensor parallelism or are you doing some special magics behind the scene?
I'... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2hheb/ | 1,789,194,772 | batch-priority-2026-summer |
os2i9kg | LocalLLaMA | 1u7qgxz | os2dme0 | 2 | No_Draft_8756 | 1,781,646,797 | You missed my point. Try to use something else. Try llama cpp instead of vllm. | 6 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2i9kg/ | 1,789,194,772 | batch-priority-2026-summer |
os2k42w | LocalLLaMA | 1u7qgxz | 1u7qgxz | 0 | rainbyte | 1,781,647,349 | I think llama.cpp is not well optimized for that kind of setup, unlike vLLM which provides more interesting options.
Have you tried Qwen3.6 Fp8 quants? Those might be more adequate for R9700 as it supports FP8 formats.
For 7900xtx I would try INT8 instead, as it has better support for that format.
Maybe bigger model... | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1u7qgxz/best_model_to_fit_8xr9700_6x7900xtx_256gb_ram/os2k42w/ | 1,789,194,772 | batch-priority-2026-summer |
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