name string | body string | score int64 | controversiality int64 | created timestamp[us] | author string | collapsed bool | edited timestamp[us] | gilded int64 | id string | locked bool | permalink string | stickied bool | ups int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
t1_jgxefao | The way things are going we’ll probably have 65b running on an iPod Touch in a month | 9 | 0 | 2023-04-19T20:34:39 | Susp-icious_-31User | false | null | 0 | jgxefao | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgxefao/ | false | 9 |
t1_jgxdskv | I think the choice for people with 24G cards for 4 bit models is:
1> Run a 13B with 128 group size.
2> Run a 30B without it.
And the slightly less accurate 30B probably still beats out the 13B/128G. | 2 | 0 | 2023-04-19T20:30:44 | synn89 | false | null | 0 | jgxdskv | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgxdskv/ | false | 2 |
t1_jgxckef | Only got that once so far, perhaps it was a fluke...
edit: Got it again, but this time it was followed by positive answer instead of a denial. Still a bit of an eyebrow-raising thing for it to have such phrasing in it's training... | 1 | 0 | 2023-04-19T20:23:05 | TiagoTiagoT | false | 2023-04-19T20:29:52 | 0 | jgxckef | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgxckef/ | false | 1 |
t1_jgxcd65 | You still have nice budget, then :D :D. I was looking at the prices of runpod and while I could afford a finetuning a model there, spending say a 100$ on a hobby could be hard to explain to my wife :D It's would be like buying 50 good quality beers on a whim, or a 100 of cheap ones, and then simply pouring them away b... | 1 | 0 | 2023-04-19T20:21:45 | szopen76 | false | null | 0 | jgxcd65 | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgxcd65/ | false | 1 |
t1_jgxc35m | [deleted] | 1 | 0 | 2023-04-19T20:20:05 | [deleted] | true | null | 0 | jgxc35m | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgxc35m/ | false | 1 |
t1_jgxb0dl | What? Really?? | 1 | 0 | 2023-04-19T20:13:12 | 2muchnet42day | false | null | 0 | jgxb0dl | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgxb0dl/ | false | 1 |
t1_jgx9ys0 | RemindMe! 7 days " **Vicuna 30b**" | 5 | 0 | 2023-04-19T20:06:40 | 3deal | false | null | 0 | jgx9ys0 | false | /r/LocalLLaMA/comments/12rpfvr/where_is_vicuna_30b/jgx9ys0/ | false | 5 |
t1_jgx8oy4 | This is the best tl;dr I could make, [original](https://stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models) reduced by 84%. (I'm a bot)
*****
> Today, Stability AI released a new open-source language model, StableLM. The Alpha version of the model is available in 3 billion and 7 ... | 0 | 0 | 2023-04-19T19:58:42 | autotldr | false | null | 0 | jgx8oy4 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx8oy4/ | false | 0 |
t1_jgx7l56 | >But then... 4k token would mean about 16x larger cost, or something like that during the finetuning?
I would imagine double the computing power of the 2k length ones which is still hopefully doable within my budget but it can get a bit much and I'm really hoping intel comes out with a killer line of low-cost GPUs for... | 1 | 0 | 2023-04-19T19:51:46 | Sixhaunt | false | null | 0 | jgx7l56 | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgx7l56/ | false | 1 |
t1_jgx57zq | I already asked models how to make explosives and they were wrong more than right. You'll just make a superfund in your garage. :D
There is no "secret" knowledge the LLMs can give me that I can't obtain elsewhere. Plus it won't be hallucinated and stand a chance of working. I just want to have fun adventures and that... | 5 | 0 | 2023-04-19T19:36:56 | a_beautiful_rhind | false | null | 0 | jgx57zq | false | /r/LocalLLaMA/comments/12rwp09/stablelm_stability_ai_language_models/jgx57zq/ | false | 5 |
t1_jgx4riq | >As an AI language model,
Oh, it's one of those... | 4 | 0 | 2023-04-19T19:33:56 | TiagoTiagoT | false | null | 0 | jgx4riq | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx4riq/ | false | 4 |
t1_jgx4nmm | Yeah, I saw the news today. There was also the other news about retraining models with better license, but I would say only this one really impacts what I intend to do. 4096 tokens! That's GPT-3.5 windows size - about enough to get a really decent RPG.
Hehe.... I read the news about double context just as I was writi... | 1 | 0 | 2023-04-19T19:33:15 | szopen76 | false | null | 0 | jgx4nmm | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgx4nmm/ | false | 1 |
t1_jgx4f3h | Context is still the same so no. That metalX model works fine.. its probably your GPTQ version. If I use librewolf instead of chrome I can pretty much generate at full context forever and I just have a P6000 | 2 | 0 | 2023-04-19T19:31:45 | a_beautiful_rhind | false | null | 0 | jgx4f3h | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgx4f3h/ | false | 2 |
t1_jgx43rd | Group sized quantizations appear to work slower for me and have only a slightly higher perplexity score. I don't like doing group size. | 1 | 0 | 2023-04-19T19:29:43 | a_beautiful_rhind | false | null | 0 | jgx43rd | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgx43rd/ | false | 1 |
t1_jgx3s4a | Increasing context length will also increase the size of the bigram distribution and the self attention matrices. Since those are two dimensional, it is an exponential increase. However, you can account for that exponential increase within the parameter count when considering ram usage, so it does not mean these models... | 1 | 0 | 2023-04-19T19:27:41 | rainy_moon_bear | false | null | 0 | jgx3s4a | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx3s4a/ | false | 1 |
t1_jgx3mmx | Double the context length and a much better license on it. This is awesome! | 3 | 0 | 2023-04-19T19:26:43 | Sixhaunt | false | null | 0 | jgx3mmx | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx3mmx/ | false | 3 |
t1_jgx3ecb | So groupsize is better than no groupsize but more resource intensive and a higher groupsize like 128 is better but more resource intensive than a lower groupsize like 32? | 1 | 0 | 2023-04-19T19:25:15 | blaher123 | false | null | 0 | jgx3ecb | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgx3ecb/ | false | 1 |
t1_jgx3cui | I think I have a colab that would work, problem is that Stability released their own language model now and it has double the context length of llama. I might have to refetch the data and train for that one since llama has a non-permissive license and stability gives a much better license on theirs | 2 | 0 | 2023-04-19T19:25:00 | Sixhaunt | false | null | 0 | jgx3cui | false | /r/LocalLLaMA/comments/12jzo5j/where_are_people_finetuning/jgx3cui/ | false | 2 |
t1_jgx2jee | There should be sfw grade, pg-13, and rated R versions. And just have a public leader board for people who look up how to make a nuclear bomb in your garage. | 1 | 0 | 2023-04-19T19:20:02 | robot_bones | false | null | 0 | jgx2jee | false | /r/LocalLLaMA/comments/12rwp09/stablelm_stability_ai_language_models/jgx2jee/ | false | 1 |
t1_jgx1s4m | Anything that supports NeoX, so KoboldAI should support it. Ooba should support it. But no support yet for koboldcpp and other ggml based applications since ggml has no NeoX support. | 4 | 0 | 2023-04-19T19:15:10 | henk717 | false | null | 0 | jgx1s4m | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx1s4m/ | false | 4 |
t1_jgx1irv | ## if someone retrains that model is the LoRA valid for that one as well?
Retraining, even using the exact same source data, necessarily implies a new random seed, so it will be a completely different model (from a weights / lora compatibility perspective)
## As in a LoRA for vicuna works for all vicuna?
A lora tra... | 3 | 0 | 2023-04-19T19:13:29 | felheartx | false | 2023-04-19T19:21:51 | 0 | jgx1irv | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgx1irv/ | false | 3 |
t1_jgx11ae | They're holding off because they want other people's models to have a chance before the one model to rule them all comes out! | 8 | 0 | 2023-04-19T19:10:20 | ThePseudoMcCoy | false | null | 0 | jgx11ae | false | /r/LocalLLaMA/comments/12rpfvr/where_is_vicuna_30b/jgx11ae/ | false | 8 |
t1_jgx0vb3 | Whoops my bad I meant to say threads but thanks for the info, I had no idea that it didn't scale, I thought it was some kind of a glitch.
Do you or anyone else have any idea if this will scale better in the future? | 1 | 0 | 2023-04-19T19:09:15 | ThePseudoMcCoy | false | 2023-04-19T19:14:59 | 0 | jgx0vb3 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgx0vb3/ | false | 1 |
t1_jgx0gwb | The "StableLM-Tuned-Alpha-7b Chat" demo was ok for some chitchat but when i tried to get some recipes that contain both strawberries and salt it couldn't do it. | 2 | 0 | 2023-04-19T19:06:37 | Zyj | false | null | 0 | jgx0gwb | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx0gwb/ | false | 2 |
t1_jgx0fru | Probably need a quantized 4bit version or whatever. Wait a few weeks and huggingface will prolly have all the variations! | 3 | 0 | 2023-04-19T19:06:26 | YearZero | false | null | 0 | jgx0fru | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx0fru/ | false | 3 |
t1_jgx04om | Is the storage/processing power for inference or training though? Or both? That suggests that GPT4's 32k token context size is actually a significant achievement? | 5 | 0 | 2023-04-19T19:04:28 | YearZero | false | null | 0 | jgx04om | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgx04om/ | false | 5 |
t1_jgwzk5h | Yep.. 4096.. next up 8k tokens like openaAI.
I'm worried they will be AALM because one of their posts said something about "not harming humans".
If they can't roleplay, that will be sad. | 8 | 0 | 2023-04-19T19:00:45 | a_beautiful_rhind | false | null | 0 | jgwzk5h | false | /r/LocalLLaMA/comments/12rwp09/stablelm_stability_ai_language_models/jgwzk5h/ | false | 8 |
t1_jgwyyi6 | Wow, what a wonderful week, within days we got releases and announcements of [Open Assistant](https://open-assistant.io/), [RedPajama](https://www.together.xyz/blog/redpajama) and now [StableLM](https://stability.ai/blog/stability-ai-launches-the-first-of-its-stablelm-suite-of-language-models)!
I'm so happy to see tha... | 21 | 0 | 2023-04-19T18:56:52 | WolframRavenwolf | false | null | 0 | jgwyyi6 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwyyi6/ | false | 21 |
t1_jgwynyg | Cool, thanks that's good to know. | 1 | 0 | 2023-04-19T18:55:01 | ambient_temp_xeno | false | null | 0 | jgwynyg | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwynyg/ | false | 1 |
t1_jgwyk51 | Yes | 1 | 0 | 2023-04-19T18:54:20 | unkz | false | null | 0 | jgwyk51 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwyk51/ | false | 1 |
t1_jgwyh84 | But can it take more than 512 as a prompt? | 1 | 0 | 2023-04-19T18:53:49 | ambient_temp_xeno | false | null | 0 | jgwyh84 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwyh84/ | false | 1 |
t1_jgwy28b | I would try with 0cc4m's fork. https://github.com/0cc4m/GPTQ-for-LLaMa
I think they are neox or gpt-j. The longer context might screw it up. | 3 | 0 | 2023-04-19T18:51:10 | a_beautiful_rhind | false | null | 0 | jgwy28b | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwy28b/ | false | 3 |
t1_jgwxvjz | With the relatively rapid advances in locally run LLMs, I think it's time a community has been established for all things local. Today, it's LLaMA and StableLM. Tomorrow? The possibilities are wide-ranging.
Moving forward, I believe r/LocalAI could be a suitable subreddit for this discussion. While empty now, I forese... | 22 | 0 | 2023-04-19T18:49:58 | Civil_Collection7267 | false | null | 0 | jgwxvjz | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwxvjz/ | false | 22 |
t1_jgwxsa6 | Will download.. the longer memory is worth it alone. Even if it is just GPT-J or NeoX | 4 | 0 | 2023-04-19T18:49:23 | a_beautiful_rhind | false | null | 0 | jgwxsa6 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwxsa6/ | false | 4 |
t1_jgwx4ye | True.. you could make VN and have all of the GPU go to the LLM. Or reduce the params of the model. Could work for a light model tuned *only* on the game lore.
llama CPP is a mixed bag for me. Using it with a real prompt like from tavern is still slow. Maybe it's better on mac M1s or with AVX512.
Not sure if you woul... | 1 | 0 | 2023-04-19T18:45:10 | a_beautiful_rhind | false | null | 0 | jgwx4ye | false | /r/LocalLLaMA/comments/12qmosm/is_anyone_working_on_games/jgwx4ye/ | false | 1 |
t1_jgwx0fa | Searched around a little and found someone running Vicuna (and SD) with an m40, but they were having some cooling issues yeah. | 1 | 0 | 2023-04-19T18:44:22 | mulletarian | false | null | 0 | jgwx0fa | false | /r/LocalLLaMA/comments/12qjfos/hardware_question_4070_12gb_2070s_8gb_or_2x3060/jgwx0fa/ | false | 1 |
t1_jgwwbu0 | > These models will be trained on up to 1.5 trillion tokens. The context length for these models is 4096 tokens.
Wait, what?!? Am I reading that right in that we'll get double the current 2048 LLaMA limit for the input question, AI reply, instructions and any added memory summaries/chat history/tokens? | 3 | 0 | 2023-04-19T18:39:52 | synn89 | false | null | 0 | jgwwbu0 | false | /r/LocalLLaMA/comments/12rwp09/stablelm_stability_ai_language_models/jgwwbu0/ | false | 3 |
t1_jgwwakt | The fine tuning training max length doesn’t really matter though, since the base model has fully trained positional embeddings for the entire width. You can load the alpaca model and generate at longer sequence lengths than 512 with no issues. | 1 | 0 | 2023-04-19T18:39:38 | unkz | false | null | 0 | jgwwakt | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwwakt/ | false | 1 |
t1_jgwuzxc | Welp, guess I was wrong. SD Discord people are saying they will continue training even the 3b and 7b models for the full 1.5 trillion tokens. I am extremely curious how the 3b model will turn out. Nearly 500 tokens per parameter? Wow. Might just forget almost everything it learned from the first few hundred billion tok... | 5 | 0 | 2023-04-19T18:30:57 | JoeySalmons | false | 2023-04-19T18:46:23 | 0 | jgwuzxc | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwuzxc/ | false | 5 |
t1_jgwusiy | You don't have 32 cores, so yeah, 32 threads won't make it faster. 32 cores would make it faster on a therearipper, but you only have 16 cores. GGML doesn't scale with HT/SMT at all. | 2 | 0 | 2023-04-19T18:29:37 | _Erilaz | false | 2023-04-19T19:12:05 | 0 | jgwusiy | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgwusiy/ | false | 2 |
t1_jgwuimq | Alpaca reduced the context to 512 tokens to save training time/ram afaik. | 1 | 0 | 2023-04-19T18:27:48 | ambient_temp_xeno | false | null | 0 | jgwuimq | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwuimq/ | false | 1 |
t1_jgwtzpx | The current released checkpoints are 800, all models will be trained to 1.5 T (confirmed by the DEV's), that's why the current model checkpoints are called alpha. | 6 | 0 | 2023-04-19T18:24:26 | nigh8w0lf | false | null | 0 | jgwtzpx | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwtzpx/ | false | 6 |
t1_jgwtpv7 | [deleted] | 1 | 0 | 2023-04-19T18:22:41 | [deleted] | true | null | 0 | jgwtpv7 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwtpv7/ | false | 1 |
t1_jgwt2wb | Got it, yea that’s what I was thinking. So not necessarily limited by your GPU setup but more so by hallucinations and so no point in actually training the model on those papers as that isn’t improving it’s ability to critically think through those problems (at least with current tech) and instead best to use embedding... | 1 | 0 | 2023-04-19T18:18:31 | bacteriarealite | false | null | 0 | jgwt2wb | false | /r/LocalLLaMA/comments/12rmwn1/how_can_i_train_my_custom_dataset_on_top_of_vicuna/jgwt2wb/ | false | 1 |
t1_jgwt020 | Nice! | 1 | 0 | 2023-04-19T18:17:59 | GoryRamsy | false | null | 0 | jgwt020 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwt020/ | false | 1 |
t1_jgwsydx | Over-trained referring to the number of tokens trained compared to the number of parameters of the model.
Llama is way over-trained compared to the parameter size and is (probably) the reason it swings above its weight-class and matches GPT3 at 175b parameters. | 7 | 0 | 2023-04-19T18:17:42 | disarmyouwitha | false | 2023-04-19T18:23:33 | 0 | jgwsydx | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwsydx/ | false | 7 |
t1_jgwsczn | Carllll, you can't just post your picture wherever you want | 2 | 0 | 2023-04-19T18:13:44 | I_say_aye | false | null | 0 | jgwsczn | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwsczn/ | false | 2 |
t1_jgwrrhn | It would depend on the specific architecture and layer scaling chosen, but a doubling of context length in principle would imply a quadrupling of the storage and processing power required. Something between linear and quadratic should be expected. | 9 | 0 | 2023-04-19T18:09:53 | Edgar_Brown | false | null | 0 | jgwrrhn | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwrrhn/ | false | 9 |
t1_jgwrfem | I think it also depends on variety, my newsletters have very consistent structure too so it would help to have a variety of topics | 1 | 0 | 2023-04-19T18:07:38 | JustCametoSayHello | false | null | 0 | jgwrfem | false | /r/LocalLLaMA/comments/12s1cig/automating_your_newsletters_in_your_voice/jgwrfem/ | false | 1 |
t1_jgwrduy | Wellp... Now lets wait a day (or maybe less) until someone makes it 4bit for as poors with 8gb :) | 3 | 0 | 2023-04-19T18:07:21 | Famberlight | false | null | 0 | jgwrduy | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwrduy/ | false | 3 |
t1_jgwr8kj | Oh shoot, you’re right, well that’s the next article then | 2 | 0 | 2023-04-19T18:06:23 | JustCametoSayHello | false | null | 0 | jgwr8kj | false | /r/LocalLLaMA/comments/12s1cig/automating_your_newsletters_in_your_voice/jgwr8kj/ | false | 2 |
t1_jgwqsf3 | You mean "style" not "voice", i thought this was about text-to-speech...
Other than that: Neat! Maybe 40 newsletter is just not enough? | 5 | 0 | 2023-04-19T18:03:30 | Zyj | false | null | 0 | jgwqsf3 | false | /r/LocalLLaMA/comments/12s1cig/automating_your_newsletters_in_your_voice/jgwqsf3/ | false | 5 |
t1_jgwqe8t | Found one: [https://www.mage.space/c/94529d8fdb8c4eb3bf0849192826410a](https://www.mage.space/c/94529d8fdb8c4eb3bf0849192826410a) | 3 | 0 | 2023-04-19T18:00:54 | Zyj | false | null | 0 | jgwqe8t | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwqe8t/ | false | 3 |
t1_jgwq4bz | Thanks! To dive into this further, say a LoRA is created for vicuna 13b, if someone retrains that model is the LoRA valid for that one as well? As in a LoRA for vicuna works for all vicuna? | 1 | 0 | 2023-04-19T17:59:07 | semyag98 | false | null | 0 | jgwq4bz | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgwq4bz/ | false | 1 |
t1_jgwq024 | Thank you. So maybe these will perform slightly worse than llama? Though we would have to see how they perform after finetuning. These being fully open makes it so much different | 2 | 0 | 2023-04-19T17:58:21 | 2muchnet42day | false | null | 0 | jgwq024 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwq024/ | false | 2 |
t1_jgwpi4e | The chat is out of the bag. | 5 | 0 | 2023-04-19T17:55:09 | addandsubtract | false | null | 0 | jgwpi4e | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwpi4e/ | false | 5 |
t1_jgwpfjw | Yes, then this sub can finally return to its original purpose - finding hot llamas in your area who want to meet you. | 41 | 0 | 2023-04-19T17:54:42 | candre23 | false | null | 0 | jgwpfjw | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwpfjw/ | false | 41 |
t1_jgwpdcf | EDIT: On the SD discord Devs/Staff there are saying all models will be trained on 1.5 trillion tokens.
~~The GitHub says "These models will be trained on up to 1.5 trillion tokens" which I infer as meaning their largest models will be trained on 1.5 trillion tokens, but their smaller models will not be. Currently th... | 6 | 0 | 2023-04-19T17:54:18 | JoeySalmons | false | 2023-04-19T18:28:36 | 0 | jgwpdcf | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwpdcf/ | false | 6 |
t1_jgwp5k7 | Meta could have come out and said llama was fully open after its leak. Now it's too late. | 3 | 0 | 2023-04-19T17:52:55 | 2muchnet42day | false | null | 0 | jgwp5k7 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwp5k7/ | false | 3 |
t1_jgwp3gd | I read somewhere that increasing max token length requires a non-linear increase in RAM. Meaning that to double the max tokens, you need significantly more than double the RAM. Is this just for training purposes, or is this something that affects us plebs running cheap GPUs? | 8 | 0 | 2023-04-19T17:52:33 | candre23 | false | null | 0 | jgwp3gd | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwp3gd/ | false | 8 |
t1_jgwovey | Time to rename the subreddit :D | 4 | 0 | 2023-04-19T17:51:08 | catid | false | null | 0 | jgwovey | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwovey/ | false | 4 |
t1_jgworsm | I don’t see how they couldn’t be really? | 1 | 0 | 2023-04-19T17:50:31 | unkz | false | null | 0 | jgworsm | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgworsm/ | false | 1 |
t1_jgwoer1 | More I think?? Iirc this new model was trained on 1.5T tokens? | 1 | 0 | 2023-04-19T17:48:11 | 2muchnet42day | false | null | 0 | jgwoer1 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwoer1/ | false | 1 |
t1_jgwo2vc | This was very predictable. We should close this subreddit and move to /r/LocalLLM | 21 | 0 | 2023-04-19T17:46:04 | Zyj | false | null | 0 | jgwo2vc | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwo2vc/ | false | 21 |
t1_jgwn87t | >Looks overtrained like Llama, this looks promising. =\]
doesn't this have less tokens trained than llama? | 5 | 0 | 2023-04-19T17:40:41 | ninjasaid13 | false | null | 0 | jgwn87t | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwn87t/ | false | 5 |
t1_jgwllxi | No problem. With Alpaca, your request should look like:
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
Your question here or whatever.
### Response:
Some interfaces will fill that stuff in for you, but that's how it ... | 1 | 0 | 2023-04-19T17:30:23 | KerfuffleV2 | false | null | 0 | jgwllxi | false | /r/LocalLLaMA/comments/12o2tsi/newbie_installed_dalai_with_llama_locally_trying/jgwllxi/ | false | 1 |
t1_jgwkfsz | Yeah I'm not quite sure what's going on but it seems like it's just stuck loading the checkpoint shards when using both cards.
I did hack together a bunch of develop commits from the different ROCm projects though, so I may have just missed something that'd be needed to support this. | 2 | 0 | 2023-04-19T17:22:57 | daxvena | false | null | 0 | jgwkfsz | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwkfsz/ | false | 2 |
t1_jgwkbl6 | Looks overtrained like Llama, this looks promising. =] | 7 | 0 | 2023-04-19T17:22:12 | disarmyouwitha | false | null | 0 | jgwkbl6 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwkbl6/ | false | 7 |
t1_jgwje5m | I would prefer to vectorize and embed into prompt for this purpose, unless the purpose is to learn the style not the substance. Models will largely hallucinate through wrong material even when very big and fairly well-tuned, even in GPT-3. | 1 | 0 | 2023-04-19T17:16:09 | perlamer | false | null | 0 | jgwje5m | false | /r/LocalLLaMA/comments/12rmwn1/how_can_i_train_my_custom_dataset_on_top_of_vicuna/jgwje5m/ | false | 1 |
t1_jgwgv4j | Each created lora is super specific to the exact model it was created for.
You can not create a lora of something for vicuna and then apply that to llama. | 2 | 0 | 2023-04-19T16:59:41 | felheartx | false | null | 0 | jgwgv4j | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgwgv4j/ | false | 2 |
t1_jgwfqmx | Anybody know how to quantantize this model? | 7 | 0 | 2023-04-19T16:52:25 | tinykidtoo | false | null | 0 | jgwfqmx | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwfqmx/ | false | 7 |
t1_jgwfkac | I got the 7B working on Oobabooga working on the GPU. But I keep hitting the 10GB Vram limit. So it runs out of memory after a handful of tokens.
I did get a very short message to work in CPU mode, but it was 1 token for 15 seconds, so far from ideal. | 12 | 0 | 2023-04-19T16:51:17 | tinykidtoo | false | null | 0 | jgwfkac | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwfkac/ | false | 12 |
t1_jgwf1vo | Good luck! 👍 | 2 | 0 | 2023-04-19T16:47:58 | RabbitHole32 | false | null | 0 | jgwf1vo | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwf1vo/ | false | 2 |
t1_jgwevki | I'm not 100% sure yet, I was trying to use my RX 590 along side it, but it was resetting my WM whenever I tried.
I'll try disconnecting the monitor and just testing things through SSH.
I have a feeling though it will only work on cards within the same family. | 3 | 0 | 2023-04-19T16:46:49 | daxvena | false | null | 0 | jgwevki | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwevki/ | false | 3 |
t1_jgweg4c | This makes me happy! I think I'm gonna wait in this case bevor I build my first workstation. Do you know by any chance whether AMD does support multi GPU for larger models? | 2 | 0 | 2023-04-19T16:44:02 | RabbitHole32 | false | null | 0 | jgweg4c | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgweg4c/ | false | 2 |
t1_jgweczb | Ah, so I am supposed to replace PROMPT with whatever I want. I was using default and I thought it was a prefix required by dalai. Thanks for the insight.
​
If I remove the whole template and just input my question in the text box, it gives me weird answers so I guess the ###Instruction, ###Response part is ne... | 1 | 0 | 2023-04-19T16:43:29 | homtanksreddit | false | null | 0 | jgweczb | false | /r/LocalLLaMA/comments/12o2tsi/newbie_installed_dalai_with_llama_locally_trying/jgweczb/ | false | 1 |
t1_jgwecdm | But would a list of say 10k academic papers on a specific topic be suitable for that task? Do we know yet if such a fine tuned model would be better at being able to ask questions about that literature rather than say an embedding or other options? | 1 | 0 | 2023-04-19T16:43:22 | bacteriarealite | false | null | 0 | jgwecdm | false | /r/LocalLLaMA/comments/12rmwn1/how_can_i_train_my_custom_dataset_on_top_of_vicuna/jgwecdm/ | false | 1 |
t1_jgwe74q | They are looking for volunteers to make it compatible with llama.cpp | 17 | 0 | 2023-04-19T16:42:27 | kulchacop | false | null | 0 | jgwe74q | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwe74q/ | false | 17 |
t1_jgwe5x0 | These changes should be in the next 5.5 release of ROCm, but I didn't want to wait to try out my RX 7900 XTX 😛 | 2 | 0 | 2023-04-19T16:42:14 | daxvena | false | null | 0 | jgwe5x0 | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwe5x0/ | false | 2 |
t1_jgwdgfb | Oh yep that card uses the same Navi 31 processor, so it should also work!! | 3 | 0 | 2023-04-19T16:37:43 | daxvena | false | null | 0 | jgwdgfb | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwdgfb/ | false | 3 |
t1_jgwcvvm | Click the [vicuna.tb.ag](https://vicuna.tb.ag) to download the PS1 file, then execute it in PowerShell or run each command necessary line by line. Review the source before running so you can see it's legit. This must be installed thru POWERSHELL (windows only). | 1 | 0 | 2023-04-19T16:34:05 | BabelFishStudio | false | null | 0 | jgwcvvm | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jgwcvvm/ | false | 1 |
t1_jgwcs20 | Awesome! Thank you for sharing! I have to confess that I returned mine and I'll be on used 3090s until something comes out with more than 24GB of VRAM... | 2 | 0 | 2023-04-19T16:33:24 | friedrichvonschiller | false | null | 0 | jgwcs20 | false | /r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jgwcs20/ | false | 2 |
t1_jgwc5cx | I don't fully understand the implications of that but if this is initial work to get local 4-bit models running on for example the upcoming Radeon Pro W7900 (48gb), then I'm very excited. 😀 | 4 | 0 | 2023-04-19T16:29:17 | RabbitHole32 | false | null | 0 | jgwc5cx | false | /r/LocalLLaMA/comments/12rv9xz/i_got_vicuna_running_on_a_rx_7900_xtx_using_a_nix/jgwc5cx/ | false | 4 |
t1_jgwbzk0 | Does anyone know if this works with Oobabooga? I'd also love a llama.cpp GGML version! I have a RTX 2070 so I use Llama.cpp for 13b parameter models and above. I feel like it won't work on llama.cpp since it's not llama based? I'm new at this :) | 15 | 0 | 2023-04-19T16:28:14 | YearZero | false | 2023-04-19T16:38:11 | 0 | jgwbzk0 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwbzk0/ | false | 15 |
t1_jgwbxdo | If you have access to the data-center grade GPU, the quickest way to start would be to pick one of the efforts of fine-tuning, for example, stanford alpaca (https://github.com/tatsu-lab/stanford_alpaca/ ) or indeed, vicuna (https://github.com/lm-sys/FastChat ) and use your own data. The main issue for home users is tha... | 3 | 0 | 2023-04-19T16:27:51 | perlamer | false | null | 0 | jgwbxdo | false | /r/LocalLLaMA/comments/12rmwn1/how_can_i_train_my_custom_dataset_on_top_of_vicuna/jgwbxdo/ | false | 3 |
t1_jgwbpsr | Double the context length. Llama has 2048, this one is 4096. That's how many tokens (1 token = 0.75 words or so) it can hold in memory for your prompt/response at a time. Bigger context window allows for bigger prompts and responses, and longer chats where it remembers the context before forgetting. | 29 | 0 | 2023-04-19T16:26:28 | YearZero | false | null | 0 | jgwbpsr | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgwbpsr/ | false | 29 |
t1_jgwamvi | In vert short it makes the very low-bit LLM models slightly more accurate (by making conversion between 16-bit/32-bit floating point and a 3-/4-bit integer more accurate), in a space- and memory-efficient manner. It however consumes a slightly larger amount of memory (about 1GB VRAM for the llama-33b model).
There ar... | 3 | 0 | 2023-04-19T16:19:32 | perlamer | false | null | 0 | jgwamvi | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgwamvi/ | false | 3 |
t1_jgwa0r2 | much thanks friend | 1 | 0 | 2023-04-19T16:15:32 | FriendDimension | false | null | 0 | jgwa0r2 | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgwa0r2/ | false | 1 |
t1_jgw9rpk | Please elaborate what that means for us brainlets | 18 | 0 | 2023-04-19T16:13:54 | SmithMano | false | null | 0 | jgw9rpk | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgw9rpk/ | false | 18 |
t1_jgw9m5q | What if you do have access to a data-center grade GPU? What is the state of the art option that your referencing here to fine tune just on research papers? I haven’t yet seen successful implementations of this but curious if anyone has | 1 | 0 | 2023-04-19T16:12:55 | bacteriarealite | false | null | 0 | jgw9m5q | false | /r/LocalLLaMA/comments/12rmwn1/how_can_i_train_my_custom_dataset_on_top_of_vicuna/jgw9m5q/ | false | 1 |
t1_jgw9iax | I wonder if their finetunes will be 4096 tokens too? | 2 | 0 | 2023-04-19T16:12:13 | ambient_temp_xeno | false | null | 0 | jgw9iax | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgw9iax/ | false | 2 |
t1_jgw99sk | That's sick, double the ctxlen of llama as well. Thank you stability. | 33 | 0 | 2023-04-19T16:10:39 | ShitGobbler69 | false | null | 0 | jgw99sk | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgw99sk/ | false | 33 |
t1_jgw8ul3 | It's not amazing but you can easily run it and then browse the Internet for a minute or two and then see your result .
I just timed it and I got 22 words in 30 seconds using 16 cores of my 5950x since 32 cores doesn't make it any faster. | 1 | 0 | 2023-04-19T16:07:53 | ThePseudoMcCoy | false | null | 0 | jgw8ul3 | false | /r/LocalLLaMA/comments/12q6elf/direct_storage_as_a_way_around_vram_limit/jgw8ul3/ | false | 1 |
t1_jgw8msp | Depends on the OS you use. You will find instructions on how to increase pagefile / swap size with google. | 3 | 0 | 2023-04-19T16:06:29 | rerri | false | null | 0 | jgw8msp | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgw8msp/ | false | 3 |
t1_jgw8mb5 | You snooze, you miss something new. | 18 | 0 | 2023-04-19T16:06:24 | ambient_temp_xeno | false | null | 0 | jgw8mb5 | false | /r/LocalLLaMA/comments/12rwrji/stability_ai_launches_the_first_of_its_stablelm/jgw8mb5/ | false | 18 |
t1_jgw8emj | https://arxiv.org/abs/2212.09720
Thanks, I do appreciate the effort.
Just keep in mind that not all of us are on PC. Mobile just downloads the PDF and it makes it a pain to bookmark when your browser just does a drive-by download as a result. | 1 | 0 | 2023-04-19T16:05:00 | teleprint-me | false | 2023-04-19T16:09:11 | 0 | jgw8emj | false | /r/LocalLLaMA/comments/12r30q6/a_few_less_googleable_questions_about_local_llms/jgw8emj/ | false | 1 |
t1_jgw8akd | that makes so much sense I had my ram die and im left with 32gb of ram on top of this I have so many cad programs open that I probably dont have enough ram space to go into vram thank you for your explanation. Now I have to turn everything off! But for swap how do I set that up maybe that would be a good way for me to ... | 2 | 0 | 2023-04-19T16:04:15 | FriendDimension | false | null | 0 | jgw8akd | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgw8akd/ | false | 2 |
t1_jgw7xu8 | thank you I will try that. | 1 | 0 | 2023-04-19T16:01:54 | FriendDimension | false | null | 0 | jgw7xu8 | false | /r/LocalLLaMA/comments/12rnnuc/what_is_the_best_model_to_use_to_summarize_texts/jgw7xu8/ | false | 1 |
t1_jgw7vaf | I'm no expert but I don't think non-groupsize model forgets stuff any more than a groupsize 128 model, it just produces lower quality outputs. I could be wrong here though.
Loading a model requires RAM and/or swap on disk. The loading process will first fill up RAM before the model starts loading into VRAM. After load... | 2 | 0 | 2023-04-19T16:01:26 | rerri | false | null | 0 | jgw7vaf | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgw7vaf/ | false | 2 |
t1_jgw7oav | thank you for your explanation, but since I am not so deep into the tech as your self I did not completely understand. But from what I understood the group size would focus on the number of specified parameters therefore be more efficient. But I am wondering what that efficiency means, does that mean it has the ability... | 3 | 0 | 2023-04-19T16:00:11 | FriendDimension | false | null | 0 | jgw7oav | false | /r/LocalLLaMA/comments/12rtg82/what_is_group_size_128_and_why_do_30b_models_give/jgw7oav/ | false | 3 |
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