id stringlengths 7 7 | subreddit stringclasses 3
values | link_id stringlengths 7 7 | parent_id stringlengths 7 7 | depth int16 0 15 | author stringlengths 0 25 ⌀ | created_utc int64 1.78B 1.79B | body stringlengths 0 9.14k | score int32 -227 1.19k | is_submitter bool 2
classes | permalink stringlengths 46 119 ⌀ | crawled_at int64 1.79B 1.79B | batch_id stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
oplmm7a | LocalLLaMA | 1tw364k | oplhrhg | 3 | DefactoAle | 1,780,524,625 | does the performance justify the time increase from the 35b a3b? | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oplmtyw | LocalLLaMA | 1tw364k | oplmm7a | 4 | feverdoingwork | 1,780,524,692 | Yes, it's good enough for production quality code. I use it daily for real dev work. | 4 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oplpet4 | LocalLLaMA | 1tw364k | opli9c4 | 1 | 1,780,525,515 | 3 | null | null | 1,789,195,004 | batch-priority-2026-summer | ||
oplusdm | LocalLLaMA | 1tw364k | oplpet4 | 2 | CheatCodesOfLife | 1,780,527,272 | If I install "vs codium" alongside vscode, are they effectively isolated? Ie, config/settings in vscode won't interfere with vs codium? | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oplwdw7 | LocalLLaMA | 1tw364k | oplusdm | 3 | 1,780,527,791 | 3 | null | null | 1,789,195,004 | batch-priority-2026-summer | ||
opm256x | LocalLLaMA | 1tw364k | 1tw364k | 0 | Legendary_Lava | 1,780,529,703 | doesnt gemma have some pretty heavy KV cache quantization sensitivity? | 4 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opm38oz | LocalLLaMA | 1tw364k | ople3xl | 1 | boutell | 1,780,530,079 | While my experience was not quite as bad as that, I definitely watched it grind getting confused with how to call opencode tools | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opm5nuh | LocalLLaMA | 1tw364k | oplgm3p | 3 | guigouz | 1,780,530,904 | `--chat-template-file <file>` | 7 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opm6fiv | LocalLLaMA | 1tw364k | opm5nuh | 4 | RoroTitiFR | 1,780,531,166 | Thank you, so it’s really simple 😁 | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opm8cdj | LocalLLaMA | 1tw364k | ople3xl | 1 | dinerburgeryum | 1,780,531,822 | OpenCode is too heavy for a 12B model. Prefer something much smaller like Pi. | 9 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opma2p9 | LocalLLaMA | 1tw364k | oplwdw7 | 4 | CheatCodesOfLife | 1,780,532,422 | Thanks, that's exactly what i was hoping for. So it'd be like having Chrome and Chromium.
>You do not even need to download vs codium, the extension was meant to work with vs code.
I'd rather try it in a separate "chromium-like" equivalent, which it sounds like vscodium is. | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opmb4l9 | LocalLLaMA | 1tw364k | oplgg1n | 2 | Sudden-Echo-8976 | 1,780,532,790 | I wasn't able to run any Gemma model on Pi. I don't know if it's the jinga template that's wrong, but it just all around failed at everything. | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opmburl | LocalLLaMA | 1tw364k | ople3xl | 1 | Jorlen | 1,780,533,042 | Before I put --jinja in my llama cpp server config, gemma4 was just broken. I don't know if you're using llama cpp but if so, give it a try.
I did the same test as you, with OpenCode and Gemma12 was able to do everything fine, it created the one-shot app test I asked it to.
So this is what is the winning recipe with... | 3 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opn63hx | LocalLLaMA | 1tw364k | 1tw364k | 0 | suesing | 1,780,543,317 | It seems promising. Maybe Gemma’s best intelligence per weight llm | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opnffph | LocalLLaMA | 1tw364k | 1tw364k | 0 | as_ninja6 | 1,780,547,011 | Can you share the memory footprint for these settings? | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opo5pt5 | LocalLLaMA | 1tw364k | 1tw364k | 0 | scubid | 1,780,559,599 | Is it better than gemma-4-26b-a4b at coding? For my quick simple tests it was not better at all and much slower. | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oppwnfw | LocalLLaMA | 1tw364k | opm8cdj | 2 | sixx7 | 1,780,583,808 | Yup Gemma4 12B worked perfectly in Pi. It seems Google might have finally gotten tool-calling right | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opq5xii | LocalLLaMA | 1tw364k | oppwnfw | 3 | dinerburgeryum | 1,780,586,318 | Yeah, Cline and OpenCode use gobsmackingly heavy system prompts that twist up smaller models. Personally, that alone made them somewhat disqualifying. | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opqk5p0 | LocalLLaMA | 1tw364k | opma2p9 | 5 | uhuge | 1,780,590,091 | yup, good luck finding the one line trick that enables VScode extension market there!+) | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opqtvsf | LocalLLaMA | 1tw364k | ople3xl | 1 | Separate-Forever-447 | 1,780,592,661 | I am seeing decent results, no tool failures, running q6\_k\_xl quant in opencode. Sure, its code review output isn't as comprehensive as a larger/stronger model, but no issues.
Am using 128K context. Key is setting that large enough to handle the tool definitions and agent instructions that the harness sends. Otherw... | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oprfibx | LocalLLaMA | 1tw364k | oplpet4 | 2 | ali0une | 1,780,598,357 | Many thanks, got it up and running and it's a great codium extension to have beside continue.dev | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oprozxf | LocalLLaMA | 1tw364k | opmburl | 2 | Velocita84 | 1,780,600,940 | Jinja is already enabled by default, it's just placebo. | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opt7cwm | LocalLLaMA | 1tw364k | 1tw364k | 0 | KimLikeJ | 1,780,617,609 | Single-shot log parsing is a reasonable sanity check, but the real signal comes when you put it in a loop and let the environment talk back. In my experience with 12B-range models on agent tasks, the first failure mode is never the happy path. It's what happens when a tool call returns something unexpected and the mode... | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
opt97em | LocalLLaMA | 1tw364k | 1tw364k | 0 | 128G | 1,780,618,270 | Why not 26B? | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oq1s11c | LocalLLaMA | 1tw364k | 1tw364k | 0 | pmttyji | 1,780,729,035 | u/Wrong_Mushroom_7350 Would love to see new thread with Gemma-4-12B-QAT version from you. | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oq1sgez | LocalLLaMA | 1tw364k | oq1s11c | 1 | 1,780,729,251 | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer | ||
oq1sl7i | LocalLLaMA | 1tw364k | oq1sgez | 2 | pmttyji | 1,780,729,320 | Thanks | 2 | null | null | 1,789,195,004 | batch-priority-2026-summer |
or9bnay | LocalLLaMA | 1tw364k | 1tw364k | 0 | Special-Lawyer-7253 | 1,781,282,254 | Tool calling still broken? | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
ora4rav | LocalLLaMA | 1tw364k | or9bnay | 1 | 1,781,290,110 | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer | ||
ora93o7 | LocalLLaMA | 1tw364k | ora4rav | 2 | Special-Lawyer-7253 | 1,781,291,307 | Using It with openclaw. All turns i miust say "continúe". Qwen 3.6 don't have this problem | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oraariz | LocalLLaMA | 1tw364k | ora93o7 | 3 | 1,781,291,771 | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer | ||
oragjb3 | LocalLLaMA | 1tw364k | oraariz | 4 | Special-Lawyer-7253 | 1,781,293,388 | Still broken | 1 | null | null | 1,789,195,004 | batch-priority-2026-summer |
oplrjjp | LocalLLaMA | 1tw4q4g | 1tw4q4g | 0 | nickm_27 | 1,780,526,213 | Why is the prompt processing so slow for an MoE? My 7900XTX is over 2000 tok/s pp | 2 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/oplrjjp/ | 1,789,195,005 | batch-priority-2026-summer |
oplrv4j | LocalLLaMA | 1tw4q4g | oplrjjp | 1 | Thin_Pollution8843 | 1,780,526,320 | Idk tbh. What your llama cpp command and which backend you are using? | 2 | true | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/oplrv4j/ | 1,789,195,005 | batch-priority-2026-summer |
oplsmdi | LocalLLaMA | 1tw4q4g | oplrv4j | 2 | nickm_27 | 1,780,526,568 | I use vulkan
```
[*]
; Set Chat Template
jinja = true
; GPU Performance
n-gpu-layers = -1
flash-attn = on
fit = off
; Overall Performance
prio = 3
prio-batch = 3
; Increased Batch Size
batch-size = 2048
ubatch-size = 1024
; Set reasonable max thinking budgets
reasoning-budget-message = '... Taking too long, need ... | 2 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/oplsmdi/ | 1,789,195,005 | batch-priority-2026-summer |
opml1ex | LocalLLaMA | 1tw4q4g | oplrv4j | 2 | genpfault | 1,780,536,122 | > What your llama cpp command and which backend you are using?
I'm also seeing ~2000 tok/s pp, using your command w/the MTP `UD-Q4_K_M` quant (what I had on hand), power limit set to 302W in LACT:
$ llama-bench -hf unsloth/Qwen3.6-35B-A3B-MTP-GGUF:UD-Q4_K_M -ngl 99 -fa on -mmp 0 -p 32768 -n 256 -r 2
ggml_v... | 2 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/opml1ex/ | 1,789,195,005 | batch-priority-2026-summer |
opolw2b | LocalLLaMA | 1tw4q4g | opml1ex | 3 | Thin_Pollution8843 | 1,780,567,958 | This is MTP model - withouth MTP I have only 35t/s while pp around 2k. | 1 | true | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/opolw2b/ | 1,789,195,005 | batch-priority-2026-summer |
opqbzx3 | LocalLLaMA | 1tw4q4g | oplrv4j | 2 | Flamenverfer | 1,780,587,939 | I also get numbers that low for PP
1.29.418.501 I slot print_timing: id 3 | task 0 | prompt processing, n_tokens = 29682, progress = 1.00, t = 52.35 s / **566.97 tokens per second**
1.30.929.118 I slot create_check: id 3 | task 0 | created context checkpoint 4 of 32 (pos_min = 29681, pos_max = 29681, n_tokens = 2... | 1 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/opqbzx3/ | 1,789,195,005 | batch-priority-2026-summer |
opqc9tn | LocalLLaMA | 1tw4q4g | oplrjjp | 1 | Flamenverfer | 1,780,588,012 | I get similar low numbers on llama.cpp 1.29.418.501 I slot print_timing: id 3 | task 0 | prompt processing, n_tokens = 29682, progress = 1.00, t = ** 52.35 s / 566.97 tokens per second**
1.30.929.118 I slot create_check: id 3 | task 0 | created context checkpoint 4 of 32 (pos_min = 29681, pos_max = 29681, n_tokens =... | 1 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/opqc9tn/ | 1,789,195,005 | batch-priority-2026-summer |
opqeyww | LocalLLaMA | 1tw4q4g | opqc9tn | 2 | nickm_27 | 1,780,588,717 | yeah that seems very slow, running llama-bench with Qwen 35B or Gemma 26B I see over 100 tok/s decode and well over 2000 tok/s pp.
Can you share the full output if your llama-bench? | 2 | false | /r/LocalLLaMA/comments/1tw4q4g/tested_rx7900xtx_with_rocm7_power_profiles/opqeyww/ | 1,789,195,005 | batch-priority-2026-summer |
oplw61y | LocalLLaMA | 1tw4s83 | 1tw4s83 | 0 | BitGreen1270 | 1,780,527,718 | Nice. What model are you running and how much t/s are you seeing? How much were you seeing without the vulkan backend? | 1 | false | https://www.reddit.com/r/LocalLLaMA/comments/1tw4s83/deleted_by_user/oplw61y/ | 1,789,195,004 | batch-priority-2026-summer |
oplwtvc | LocalLLaMA | 1tw4s83 | oplw61y | 1 | GsxrGuy80s | 1,780,527,938 | Thanks. The proof run in the screenshot is \`PocketNode\_Operator\_Q4\_0.gguf\` with gpu\_layers=89. That short generation hit \`57 tokens in 0.50s\`, reported as about 114.5 TPS, with runtime showing backend=Vulkan,OpenCL. I would not treat that as a universal benchmark yet, though. That was a short generation after ... | 2 | false | https://www.reddit.com/r/LocalLLaMA/comments/1tw4s83/deleted_by_user/oplwtvc/ | 1,789,195,004 | batch-priority-2026-summer |
oplq6fp | LocalLLaMA | 1tw4wpt | 1tw4wpt | 0 | AutoModerator | 1,780,525,764 | 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/1tw4wpt/bigger_rlhf_models_are_more_sycophantic_not_less/oplq6fp/ | 1,789,195,007 | batch-priority-2026-summer |
oplsx78 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | RedParaglider | 1,780,526,665 | Are they counting all of the models that they forced people's browsers to download? | 160 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oplsx78/ | 1,789,195,008 | batch-priority-2026-summer |
oplt0f1 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | Bubbly-Staff-9452 | 1,780,526,695 | Does this count all the copies they downloaded on Android phones without permission or notification? | 31 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oplt0f1/ | 1,789,195,027 | batch-priority-2026-summer |
opltp4z | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | ortegaalfredo | 1,780,526,919 | LMAO the models are downloading themselves.
When there is 50 billion of funding behind a technology, truth is a very distant priority. | 17 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opltp4z/ | 1,789,195,027 | batch-priority-2026-summer |
oplw78j | LocalLLaMA | 1tw5764 | oplsx78 | 1 | Rude_Marzipan6107 | 1,780,527,729 | I would bet that is the case | 7 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oplw78j/ | 1,789,195,008 | batch-priority-2026-summer |
oplycon | LocalLLaMA | 1tw5764 | opltp4z | 1 | Budget-Juggernaut-68 | 1,780,528,441 | Actually what does that mean? That the models are downloading themselves? | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oplycon/ | 1,789,195,027 | batch-priority-2026-summer |
oplzv28 | LocalLLaMA | 1tw5764 | oplsx78 | 1 | KURD_1_STAN | 1,780,528,941 | If betting wasn't haram i would bet my gpu on that being the case | 6 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oplzv28/ | 1,789,195,019 | batch-priority-2026-summer |
opm00ie | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | Prize_Negotiation66 | 1,780,528,991 | Uhm you can run 27b on 16gb with decent quality | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm00ie/ | 1,789,195,042 | batch-priority-2026-summer |
opm04ef | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | PassengerPigeon343 | 1,780,529,027 | I mean didn’t we all have to download the models like 5 times each during the initial bug fix cycles? I’m probably at least 10-15 of those by myself and it would be more if Qwen 3.6 hadn’t stolen my heart | 50 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm04ef/ | 1,789,195,027 | batch-priority-2026-summer |
opm0uqw | LocalLLaMA | 1tw5764 | oplsx78 | 1 | scottgal2 | 1,780,529,269 | Coming to say that, yeah Gemma4 Nano.. | 32 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm0uqw/ | 1,789,195,008 | batch-priority-2026-summer |
opm0vs9 | LocalLLaMA | 1tw5764 | oplzv28 | 2 | tat_tvam_asshole | 1,780,529,279 | but only if it was haram! otherwise I ain't doing it habibi | 5 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm0vs9/ | 1,789,195,019 | batch-priority-2026-summer |
opm2ks7 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | reality_comes | 1,780,529,852 | Because its 2 months.... | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm2ks7/ | 1,789,195,071 | batch-priority-2026-summer |
opm2mqy | LocalLLaMA | 1tw5764 | opm0vs9 | 3 | KURD_1_STAN | 1,780,529,871 | Ah typo. Anyways why call me habibi, im not an arab | -5 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm2mqy/ | 1,789,195,019 | batch-priority-2026-summer |
opm3gok | LocalLLaMA | 1tw5764 | oplycon | 2 | ortegaalfredo | 1,780,530,155 | Its a funny way to say that I believe they are not real downloads, its mostly bots or just directly cooking the numbers. | 6 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm3gok/ | 1,789,195,034 | batch-priority-2026-summer |
opm7ge5 | LocalLLaMA | 1tw5764 | opm04ef | 1 | cakemates | 1,780,531,517 | yeah but how many local llm users do you think there are? if we are generous a fraction of a million? you have to do some numbers cooking in the desert to get to 150m+. | 6 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opm7ge5/ | 1,789,195,027 | batch-priority-2026-summer |
opma9ss | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | a_beautiful_rhind | 1,780,532,491 | Anything that spins it up on demand will also likely re-download the weights. | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opma9ss/ | 1,789,195,071 | batch-priority-2026-summer |
opmels4 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | Xamanthas | 1,780,533,980 | Because it includes the quants and such, including models where some fuckwit bots downloads of his own model for resume reasons. Not even joking. | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmels4/ | 1,789,195,071 | batch-priority-2026-summer |
opmeoky | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | nicksterling | 1,780,534,007 | It’s also a really good local model. I built support for it directly into my custom harness and with the right system prompt/skills/tools it’s excellent. It’s no Opus but it’s quite good for being local. | 9 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmeoky/ | 1,789,195,042 | batch-priority-2026-summer |
opmfunh | LocalLLaMA | 1tw5764 | opm00ie | 1 | Healthy-Nebula-3603 | 1,780,534,400 | DECENT?????
sure buddy .... | 6 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmfunh/ | 1,789,195,042 | batch-priority-2026-summer |
opmg4e6 | LocalLLaMA | 1tw5764 | opm2mqy | 4 | tat_tvam_asshole | 1,780,534,492 | you don't have to be arab to be habibi wallah | 8 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmg4e6/ | 1,789,195,019 | batch-priority-2026-summer |
opml7dz | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | adelope | 1,780,536,179 | Actually it is a bit underwhelming by Google's standard, i remember a few years ago I trained a model at Google (One of Mediapipe's models) that was downloaded/used couple of hundred million times in a few months) and we were like meh! Google's distribution is very effective. | 5 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opml7dz/ | 1,789,195,042 | batch-priority-2026-summer |
opmmmz3 | LocalLLaMA | 1tw5764 | oplt0f1 | 1 | send-moobs-pls | 1,780,536,635 | Hehe | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmmmz3/ | 1,789,195,027 | batch-priority-2026-summer |
opmmtkp | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | Labyricorn | 1,780,536,698 | To be fair you have to dial down the context window for it to fit 16gb, but it does run sweetly. | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmmtkp/ | 1,789,195,071 | batch-priority-2026-summer |
opmvaj6 | LocalLLaMA | 1tw5764 | oplsx78 | 1 | nabagaca | 1,780,539,529 | I don't think chrome is using Gemma 4? I thought it was still using Gemini 3 nano, which is based on Gemma 3n? | 11 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opmvaj6/ | 1,789,195,008 | batch-priority-2026-summer |
opnp3uh | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | xadiant | 1,780,551,339 | Because there are 8 billion people on earth. 1 billion people in India have internet access. Not surprising since it's a google release | 4 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opnp3uh/ | 1,789,195,042 | batch-priority-2026-summer |
opnrvvo | LocalLLaMA | 1tw5764 | oplsx78 | 1 | hackerllama | 1,780,552,650 | 150m is from Hugging Face and Ollama and open platforms usage | 9 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opnrvvo/ | 1,789,195,008 | batch-priority-2026-summer |
opnsj5k | LocalLLaMA | 1tw5764 | oplsx78 | 1 | XeNo___ | 1,780,552,960 | The biggest is most likely from cloud services like Runpod. Consider plattforms booting containers of vLLM downloading the model on every start if they aren't being cached. Same for Huggingface, ... | 9 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opnsj5k/ | 1,789,195,008 | batch-priority-2026-summer |
opny1i8 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | aeroumbria | 1,780,555,673 | using hardware OEM to smuggle OS -> using OS to smuggle browser -> combining hardware OEM and OS to smuggle even more browser -> using browser to smuggle models (you are here) -> using models to smuggle sleeper agents -> using sleeper agents to activate kill switch | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opny1i8/ | 1,789,195,071 | batch-priority-2026-summer |
opnz63h | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | relmny | 1,780,556,227 | "on a laptop with JUST 16gb vram"... sure! who doesn't have a laptop with just 16gb vram?
Those numbers look as real as the statement about the laptop...
edit: it’s also a dense model and about 24gb, so that won't fit in 16gb so it can't be run on such laptop. And the comment doesn't mention quantization, so another... | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opnz63h/ | 1,789,195,071 | batch-priority-2026-summer |
opo04tz | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | CatalyticDragon | 1,780,556,703 | Two months. Gemma 4 was released on April 2nd. There would be some double counting as many people who download one size would also download others. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opo04tz/ | 1,789,195,071 | batch-priority-2026-summer |
opo6dgi | LocalLLaMA | 1tw5764 | opmfunh | 2 | ea_man | 1,780,559,942 | A dense model at IQ4 is decent, yes.
A dense model can be surprisingly good even at Q3. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opo6dgi/ | 1,789,195,042 | batch-priority-2026-summer |
opo6fs9 | LocalLLaMA | 1tw5764 | opm00ie | 1 | cagriuluc | 1,780,559,975 | I really wonder how people manage this… is the context size like 100 tokens? | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opo6fs9/ | 1,789,195,058 | batch-priority-2026-summer |
opoa1vb | LocalLLaMA | 1tw5764 | opo6fs9 | 2 | ea_man | 1,780,561,892 | cHunter789/Qwen3.6-27B-i1-IQ4\_XS-GGUF
\* 92672ctx on KDE with -ctk q8\_0 -ctv q5\_0 \\
\- mradermacher/Qwen3.6-27B-uncensored-heretic-v2-Native-MTP-Preserved.i1-IQ3\_M.gguf
\* n\_ctx = 152576 -ctk q8\_0 -ctv q5\_0 \\
Qwen3.6-27B.i1-IQ4_XS-attn_qkv-IQ4_XS.gguf
-ctk q8_0 -ctv q5_0 \
0.00.022.... | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opoa1vb/ | 1,789,195,058 | batch-priority-2026-summer |
opomh4r | LocalLLaMA | 1tw5764 | opo6dgi | 3 | Healthy-Nebula-3603 | 1,780,568,230 | So you're one of these people who thinks q3 is good enough even breaking code or hallucinating or information?
People like you layer are showing models are benchmaxed because in real file are not as good.
Even q4 is bad if you using agents or writing nor translating a long text.
Lower quants are even worse.
Us... | -2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opomh4r/ | 1,789,195,051 | batch-priority-2026-summer |
opooo8i | LocalLLaMA | 1tw5764 | opomh4r | 4 | ea_man | 1,780,569,228 | Yes, I used a QWEN 27B Q3 dense for coding, it was better than smaller models at higher quants and bigger MoE. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opooo8i/ | 1,789,195,051 | batch-priority-2026-summer |
opoqty0 | LocalLLaMA | 1tw5764 | opm00ie | 1 | markole | 1,780,570,160 | That thing won't run but crawl. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opoqty0/ | 1,789,195,058 | batch-priority-2026-summer |
opor315 | LocalLLaMA | 1tw5764 | opm7ge5 | 2 | MarkoMarjamaa | 1,780,570,266 | You can check the download counts in HF. The Gemma 4 models had sum something like 25M.
Still not near 150M, but def more than 1M. | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opor315/ | 1,789,195,027 | batch-priority-2026-summer |
opp9z8a | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | Koseph-Jony | 1,780,577,190 | I only have 8gb vram 🥲
| 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opp9z8a/ | 1,789,195,071 | batch-priority-2026-summer |
oppaylb | LocalLLaMA | 1tw5764 | opooo8i | 5 | Healthy-Nebula-3603 | 1,780,577,507 | In that case your code was very simple if you was ok with that.
Imagine that Q8 or fp16 could handle much more complex code.
| -2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oppaylb/ | 1,789,195,051 | batch-priority-2026-summer |
oppc29z | LocalLLaMA | 1tw5764 | opnsj5k | 2 | baseketball | 1,780,577,854 | Insane to download a massive model each instantiation instead of just baking into your image. | 2 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oppc29z/ | 1,789,195,008 | batch-priority-2026-summer |
oppcu8p | LocalLLaMA | 1tw5764 | oppaylb | 6 | ea_man | 1,780,578,095 | I don't think so, the same model can attack the same kind of problems with similar results, it's not like Q8 becomes ChatGPT while Q4 is Omnicoder. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oppcu8p/ | 1,789,195,051 | batch-priority-2026-summer |
oppe8a3 | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | UniForceMusic | 1,780,578,529 | 150 million downloads seems perfectly feasable tbh.
Its across ALL Gemma 4 models i assume. And they have many models. E2B, E4B, 12B, 26B A4B, 31B.
Combined with some redownloads because of some issues that needed to be fixed, and many people download multiple models. Then i'm guessing you're looking at 25 million pe... | 5 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/oppe8a3/ | 1,789,195,042 | batch-priority-2026-summer |
opq8m5p | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | FewBasis7497 | 1,780,587,041 | Are these laptops with "just 16GB VRAM" here in this room with us? | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opq8m5p/ | 1,789,195,083 | batch-priority-2026-summer |
opqeejq | LocalLLaMA | 1tw5764 | oppc29z | 3 | Jordanquake | 1,780,588,568 | Yeah would assume more of the downloads are coming from local for this reason | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opqeejq/ | 1,789,195,008 | batch-priority-2026-summer |
opqqvwr | LocalLLaMA | 1tw5764 | opq8m5p | 1 | DragonfruitIll660 | 1,780,591,878 | 3080 mobile has 16GB (also an 8GB version tbf). It runs well on my system, though idk if it outclasses the 26B A4B with some CPU offloading so it might be purely if you don't have 10-15 gigs of additional ram. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opqqvwr/ | 1,789,195,083 | batch-priority-2026-summer |
opr3jsx | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | D3c1m470r | 1,780,595,179 | 'with just 16gb vram' yeah dude.... | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opr3jsx/ | 1,789,195,083 | batch-priority-2026-summer |
opthkxd | LocalLLaMA | 1tw5764 | opmeoky | 1 | AndrewAuAU | 1,780,621,288 | Its no qwen either. Gemma 4 is around 41 in one of the common tool calling benches and qwen 3.6 is at 63 (admittedly very close for everything else).
Benches smentches but this was born out in my own testing with gemma most of the time tripping balls all over the place for the same task.
Alibaba are still optimizing ... | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opthkxd/ | 1,789,195,042 | batch-priority-2026-summer |
opti2m1 | LocalLLaMA | 1tw5764 | oppcu8p | 7 | AndrewAuAU | 1,780,621,459 | Agreed. Unless of course your try trying to oneshot some slop app or benchmark in which case you need all the extra quant.
Lower quants are fine for some use cases. | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opti2m1/ | 1,789,195,051 | batch-priority-2026-summer |
opvuglv | LocalLLaMA | 1tw5764 | 1tw5764 | 0 | 00shichi | 1,780,658,908 | I'm sure there are a lot of people re-downloading and keep in mind that it is across ALL gemma models
btw, do you know what else is massive... | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opvuglv/ | 1,789,195,083 | batch-priority-2026-summer |
opwms92 | LocalLLaMA | 1tw5764 | opm04ef | 1 | Adventurous-Paper566 | 1,780,668,202 | I already downloaded Gemma 4 12B four times lol | 1 | null | /r/LocalLLaMA/comments/1tw5764/how_can_the_numbers_be_this_massive_within_a_month/opwms92/ | 1,789,195,027 | batch-priority-2026-summer |
opm238u | LocalLLaMA | 1tw6ju7 | 1tw6ju7 | 0 | AutoModerator | 1,780,529,685 | 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 | 1,789,195,004 | batch-priority-2026-summer |
opn5e33 | LocalLLaMA | 1tw6vna | 1tw6vna | 0 | SadPhilosophy9202 | 1,780,543,067 | Can it run doom? | 1 | null | /r/LocalLLaMA/comments/1tw6vna/comment/opn5e33/ | 1,789,195,015 | batch-priority-2026-summer |
opqtxlk | LocalLLaMA | 1tw6vna | 1tw6vna | 0 | uhuge | 1,780,592,675 | ram is a bar indicator or censured?🤔 | 3 | null | /r/LocalLLaMA/comments/1tw6vna/comment/opqtxlk/ | 1,789,195,026 | batch-priority-2026-summer |
opsds8y | LocalLLaMA | 1tw6vna | opqtxlk | 1 | Sn0opY_GER | 1,780,607,907 | That was one of the earlier Screenshots I removed ram and added vram and gpu load, and replaced the status text with emoji for shorter text and added 3 lines console output it works pretty ok now, but the 4sec delay sucks but hey it was free and I didn't use it, and now it has a real purpose | 1 | null | /r/LocalLLaMA/comments/1tw6vna/comment/opsds8y/ | 1,789,195,015 | batch-priority-2026-summer |
opmeim4 | LocalLLaMA | 1tw87zm | 1tw87zm | 0 | AutoModerator | 1,780,533,950 | 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/1tw87zm/has_anyone_got_gemma_4_12b_mtp_working/opmeim4/ | 1,789,195,011 | batch-priority-2026-summer |
opmfwpc | LocalLLaMA | 1tw8eev | 1tw8eev | 0 | AutoModerator | 1,780,534,419 | 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/1tw8eev/i_pooled_16_free_llm_api_tiers_behind_one_openai/opmfwpc/ | 1,789,195,004 | batch-priority-2026-summer |
opmo6n3 | LocalLLaMA | 1tw9f7m | 1tw9f7m | 0 | AutoModerator | 1,780,537,135 | 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/1tw9f7m/comment/opmo6n3/ | 1,789,195,008 | batch-priority-2026-summer |
opmy8co | LocalLLaMA | 1twaoy0 | 1twaoy0 | 0 | AutoModerator | 1,780,540,552 | 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/1twaoy0/advice_on_my_setup_and_workflow/opmy8co/ | 1,789,195,008 | batch-priority-2026-summer |
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