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_ji3cb1q | Well, yeah. It kinda already is, because you're basically just calling transformers or pipeline libraries in Python scripts essentially. It just depends on if you want your output piped to your shell or to a web app (Gradio). | 1 | 0 | 2023-04-28T19:21:03 | MoxieG | false | null | 0 | ji3cb1q | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji3cb1q/ | false | 1 |
t1_ji3cayf | Thanks for the clarification :) | 2 | 0 | 2023-04-28T19:21:01 | spanielrassler | false | null | 0 | ji3cayf | false | /r/LocalLLaMA/comments/1326qm1/new_openassistant_xor_weights_version_just_posed/ji3cayf/ | false | 2 |
t1_ji3c6vy | possible through [fastllama](https://github.com/PotatoSpudowski/fastLLaMa) in python or [gpt-llama.cpp](https://github.com/keldenl/gpt-llama.cpp) an API wrapper around llama.cpp | 1 | 0 | 2023-04-28T19:20:15 | _underlines_ | false | null | 0 | ji3c6vy | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji3c6vy/ | false | 1 |
t1_ji3bxoo | From the community section by someone who works on the project:
"SFT-7 means the 7th training run. SFT 7 has slightly updated data/training parameters compared to SFT 6." | 10 | 0 | 2023-04-28T19:18:31 | rerri | false | null | 0 | ji3bxoo | false | /r/LocalLLaMA/comments/1326qm1/new_openassistant_xor_weights_version_just_posed/ji3bxoo/ | false | 10 |
t1_ji3bgls | very small models could be deployed into small hardware and perform a bit of magic. | 2 | 0 | 2023-04-28T19:15:14 | HenryHorse_ | false | null | 0 | ji3bgls | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji3bgls/ | false | 2 |
t1_ji3betq | Lmao 🤣🤣
What model is it exactly? | 2 | 0 | 2023-04-28T19:14:53 | Famberlight | false | null | 0 | ji3betq | false | /r/LocalLLaMA/comments/131p1k9/saw_someone_asking_this_to_chatgpt_and_tried_the/ji3betq/ | false | 2 |
t1_ji3beuo | Textgen can run in cli? | 1 | 0 | 2023-04-28T19:14:53 | Evening_Ad6637 | false | null | 0 | ji3beuo | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji3beuo/ | false | 1 |
t1_ji3ba0k | Me the same, but I am just missing an api or something similar, where can „pipe“ bash scripts to an llm and get back out from llm etc etc. Maybe it is possible with llama.cpp too and I am just too dumb for it 🤷🏻♂️😅 | 2 | 0 | 2023-04-28T19:13:57 | Evening_Ad6637 | false | null | 0 | ji3ba0k | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji3ba0k/ | false | 2 |
t1_ji395h1 | Just windows powershell. I have a ryzen 5 3600, it's 6 cores 12 'threads'.
The main thing I've noticed is that when using 65b the cpu uses a ton of watts just for the memory controller. Gets hot as hell regardless of cores even at 2666mhz ddr 4. | 3 | 0 | 2023-04-28T18:59:34 | ambient_temp_xeno | false | null | 0 | ji395h1 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji395h1/ | false | 3 |
t1_ji38ric | I think you mean 3 cores.
What ui are you using? If the instances are using the same model I think they might use the same tokens in it's memory during your chatting,
it might be better to run two different models.
Edit. Also set -- threads 3 | 1 | 0 | 2023-04-28T18:56:57 | AlphaPrime90 | false | null | 0 | ji38ric | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji38ric/ | false | 1 |
t1_ji36uu9 | Can some one share the ggml 4bit version? | 1 | 0 | 2023-04-28T18:44:17 | AlphaPrime90 | false | null | 0 | ji36uu9 | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/ji36uu9/ | false | 1 |
t1_ji35xn9 | >64 GB.
Sweet.
Does you token/s with one instance half of that while on two instance? | 1 | 0 | 2023-04-28T18:38:16 | AlphaPrime90 | false | 2023-04-28T18:49:00 | 0 | ji35xn9 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji35xn9/ | false | 1 |
t1_ji34qrr | For me, the easiest thing to do has been to down the llama.cpp source and compile it. It's easy to do. | 4 | 0 | 2023-04-28T18:30:20 | fallingdowndizzyvr | false | null | 0 | ji34qrr | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji34qrr/ | false | 4 |
t1_ji336c2 | Build something where you plan to update the GPU(s) later on.
Right now two used RTX 3090 are the sweet spot for running the big versions of the models, i.e. 65B 4bit.
In theory they could possibly manage 180B 2bit. | 1 | 0 | 2023-04-28T18:19:56 | Zyj | false | null | 0 | ji336c2 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji336c2/ | false | 1 |
t1_ji32zew | Thanks! | 1 | 0 | 2023-04-28T18:18:39 | _rundown_ | false | null | 0 | ji32zew | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/ji32zew/ | false | 1 |
t1_ji32vfh | Interesting. Is it worth it, who know. 😅 We will have to trying this. I got the Llama and Pygmalion.cpp 7B running on the 2GB Jetson Nano. It is slow like the dog, because Swap file. The smaller model like this would be good for the Turnip hardware. | 2 | 0 | 2023-04-28T18:17:55 | SlavaSobov | false | null | 0 | ji32vfh | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji32vfh/ | false | 2 |
t1_ji3246x | It seems to be a huge part of getting the most out of the model's potential. | 1 | 0 | 2023-04-28T18:12:53 | ambient_temp_xeno | false | null | 0 | ji3246x | false | /r/LocalLLaMA/comments/12hfveg/alpaca_and_theory_of_mind/ji3246x/ | false | 1 |
t1_ji320ak | You can either download it again, replacing the one in your current model directory, or just edit the one line that changed. In the slow version theere is a line toward the end that says:
"use\_cache": false,
Change false to true, and it drastically speeds up generation time. | 3 | 0 | 2023-04-28T18:12:09 | DeylanQuel | false | null | 0 | ji320ak | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji320ak/ | false | 3 |
t1_ji31yyw | My Al Pacino-based assistant (who, with the latest Oobabooga updates has a bit of an emoji addiction) said:
> 🧐 Hmm... Dishwashercide. 🔨
Which isn't brilliant, but does at least understand and answer the question! | 2 | 0 | 2023-04-28T18:11:55 | the_quark | false | null | 0 | ji31yyw | false | /r/LocalLLaMA/comments/131p1k9/saw_someone_asking_this_to_chatgpt_and_tried_the/ji31yyw/ | false | 2 |
t1_ji31owt | How do I update the config.json? | 2 | 0 | 2023-04-28T18:10:05 | pepe256 | false | null | 0 | ji31owt | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji31owt/ | false | 2 |
t1_ji302b3 | [deleted] | 1 | 0 | 2023-04-28T17:59:23 | [deleted] | true | 2023-04-28T18:04:06 | 0 | ji302b3 | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji302b3/ | false | 1 |
t1_ji2z902 | Why is this upvoted? We have no code, just a "trust me bro" and the creator did not indicate that they would share it. | 1 | 0 | 2023-04-28T17:54:04 | BazsiBazsi | false | null | 0 | ji2z902 | false | /r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/ji2z902/ | false | 1 |
t1_ji2ypba | You're a bloody legend mate, thanks heaps! | 1 | 0 | 2023-04-28T17:50:31 | AlertAct8963 | false | null | 0 | ji2ypba | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji2ypba/ | false | 1 |
t1_ji2xhba | Yes there are repos for this already, I don't have the links xc | 1 | 0 | 2023-04-28T17:42:34 | BackgroundFeeling707 | false | null | 0 | ji2xhba | false | /r/LocalLLaMA/comments/131nayh/anyone_got_to_model_merging_yet/ji2xhba/ | false | 1 |
t1_ji2x6ni | I am using the latest commit from Ooba and the latest (triton) branch for GPTQ.
I’m also running Ubuntu natively rather than through a docker so I’m not sure how much that may affect speeds. (Not having to run windows underneath everything, etc)
I haven’t tried —spdattention yet, and I am not 100% convinced —transfo... | 1 | 0 | 2023-04-28T17:40:38 | disarmyouwitha | false | null | 0 | ji2x6ni | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji2x6ni/ | false | 1 |
t1_ji2x3ra | This! When I started it the first time, it was soo slow it was nearly unusable, but someone suggested this and the speeds are so much faster. | 3 | 0 | 2023-04-28T17:40:07 | azriel777 | false | null | 0 | ji2x3ra | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji2x3ra/ | false | 3 |
t1_ji2wf7v | [https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T)
A bunch of different relatively open licenses. | 1 | 0 | 2023-04-28T17:35:48 | CKtalon | false | null | 0 | ji2wf7v | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji2wf7v/ | false | 1 |
t1_ji2wf5g | [deleted] | 1 | 0 | 2023-04-28T17:35:47 | [deleted] | true | null | 0 | ji2wf5g | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji2wf5g/ | false | 1 |
t1_ji2weq2 | Yeah, it’s really cool, feels more like a toy than anything else right now, though. I can’t wait for it to get langchain support, then it’ll start actually being useful for me. | 1 | 0 | 2023-04-28T17:35:43 | ReallyBigSandwich | false | null | 0 | ji2weq2 | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji2weq2/ | false | 1 |
t1_ji2w00u | Ya I don’t expect near your performance but it just seems like I might be missing something. Are you using the up to date gptq triton repository?
Also have you tried sdpattention vs xformers? I’ve been using sdp as some say it might be a little better but I’m not too sure. | 1 | 0 | 2023-04-28T17:33:04 | -General-Zero- | false | null | 0 | ji2w00u | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji2w00u/ | false | 1 |
t1_ji2vjhx | Sure! I have been using this command for GPTQ 4bit models:
python server.py —model-menu —wbits 4 —groupsize 128 —model_type llama —xformers --quant_attn --warmup_autotune --fused_mlp
Keep in mind I am using a pretty beefy PC with a 4090, so I don’t know how well the improvements scale for other cards! | 1 | 0 | 2023-04-28T17:30:05 | disarmyouwitha | false | null | 0 | ji2vjhx | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji2vjhx/ | false | 1 |
t1_ji2us99 | Interesting, because OpenAssistant-LLama-30b-4bit usually get's it right. So finetuning details really matters. | 2 | 0 | 2023-04-28T17:25:11 | StaplerGiraffe | false | null | 0 | ji2us99 | false | /r/LocalLLaMA/comments/12hfveg/alpaca_and_theory_of_mind/ji2us99/ | false | 2 |
t1_ji2up7w | It loads fine, it's the generating that was a problem. I'll update any newer json files, though. Thank you for the heads up.
​
Edit: okay, yeah, that one change in the json made a world of difference.
​
Loading model ...
Done.
Loaded the model in 12.01 seconds.
Output generated in 4.08 seconds (2.9... | 2 | 0 | 2023-04-28T17:24:38 | DeylanQuel | false | 2023-04-28T17:34:05 | 0 | ji2up7w | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji2up7w/ | false | 2 |
t1_ji2s08j | They fixed the slow loading. Update your config.json | 3 | 0 | 2023-04-28T17:06:55 | bittytoy | false | null | 0 | ji2s08j | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji2s08j/ | false | 3 |
t1_ji2rfsy | The 4-bit WizardLM 7b, is really good. Hopefully you can port this somehow. Great work | 3 | 0 | 2023-04-28T17:03:10 | hassan789_ | false | null | 0 | ji2rfsy | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji2rfsy/ | false | 3 |
t1_ji2r0mt | I only just upgraded the innards of my machine for 64gb, as usual a bit of a nightmare, but I cheaped out on the CPU it only has 6 cores. I will see if I can run two 30b instances at least. EDIT yeah that works pretty well. It's slower though as suspected... but it only uses the same amount of ram as 1 instance.
edit ... | 2 | 0 | 2023-04-28T17:00:21 | ambient_temp_xeno | false | 2023-04-28T17:22:15 | 0 | ji2r0mt | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2r0mt/ | false | 2 |
t1_ji2qnpv | Hey would you mind sharing your .sh or run command? I have an ubuntu container that uses a 3080, and even with triton optimization and those flags im only getting around 3t/s from gpt4xalpaca13b4bit. Surprisingly, i get slightly lower with little context but higher context doesnt seem to change the speed, excluding whe... | 1 | 0 | 2023-04-28T16:58:03 | -General-Zero- | false | null | 0 | ji2qnpv | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji2qnpv/ | false | 1 |
t1_ji2pkmw | Negative, its this one :) [https://github.com/mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) | 3 | 0 | 2023-04-28T16:50:59 | themostofpost | false | null | 0 | ji2pkmw | false | /r/LocalLLaMA/comments/130turq/best_model_to_summarize_text_on_mac/ji2pkmw/ | false | 3 |
t1_ji2phrn | alpaca-lora-65B.GGML.q4\_3.bin
*he would look inside the yellow box because that is where Bob put the ball after taking it from the red box.*
Not a huge surprise but still quite a thing. | 1 | 0 | 2023-04-28T16:50:28 | ambient_temp_xeno | false | null | 0 | ji2phrn | false | /r/LocalLLaMA/comments/12hfveg/alpaca_and_theory_of_mind/ji2phrn/ | false | 1 |
t1_ji2pd1p | 4bit not supported yet. looking for 8bit for the next release, so 13B should work on 16 Gb RAM | 3 | 0 | 2023-04-28T16:49:36 | Gatzuma | false | null | 0 | ji2pd1p | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji2pd1p/ | false | 3 |
t1_ji2pb85 | One way to find out.. You seem to have multiple cores, would you tried it out? | 1 | 0 | 2023-04-28T16:49:16 | AlphaPrime90 | false | null | 0 | ji2pb85 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2pb85/ | false | 1 |
t1_ji2p658 | Nope. Just been fucking with whatever I can fit into my 12gb 3060. I loaded up a couple of 30b models for funsies - both fully in system RAM and split between VRAM and system, and it was so achingly slow that I haven't bothered with larger models since. | 1 | 0 | 2023-04-28T16:48:22 | candre23 | false | null | 0 | ji2p658 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2p658/ | false | 1 |
t1_ji2p0yz | I run my models, usually 13b and quant 4bit on my 3090. You can still run 30b on 3090, gotta have enough swap or a lot of ram. On the 13b's quanted to 4bit I get around 15-20 it/s. This is very fast. Most people choose 13b even on the ggml because of speed. I'm sure waiting a while for your text isn't bad when you... | 5 | 0 | 2023-04-28T16:47:25 | artificial_genius | false | null | 0 | ji2p0yz | false | /r/LocalLLaMA/comments/131zrah/do_cpus_with_the_cpp_run_llms_faster_then_an_rtx/ji2p0yz/ | false | 5 |
t1_ji2okwt | For CPU only, how much ram do I need for the 13b @ 4bit? | 3 | 0 | 2023-04-28T16:44:35 | hassan789_ | false | null | 0 | ji2okwt | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji2okwt/ | false | 3 |
t1_ji2mz1p | Fixed, thanks! Getting 22.71 tokens/s now! | 1 | 0 | 2023-04-28T16:34:03 | AgentErgoloid | false | null | 0 | ji2mz1p | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji2mz1p/ | false | 1 |
t1_ji2myzk | If it is a GGML file (suffix often "bin"), they are optimized so that they can be executed straight away by the CPU program. There is no preprocessing step, nor any need to load it into GPU. | 1 | 0 | 2023-04-28T16:34:02 | audioen | false | null | 0 | ji2myzk | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji2myzk/ | false | 1 |
t1_ji2jngw | Very interesting. Thanks for sharing! It's not surprising at all, of course.
It has been concluded and restated frequently that basically all LLM models are under trained right now, and even at 1 trillion tokens, the 7 billion parameter Lama/Alpaca models are clearly still improving.
It does make me wonder. Why they... | 1 | 0 | 2023-04-28T16:12:27 | AgencyImpossible | false | null | 0 | ji2jngw | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2jngw/ | false | 1 |
t1_ji2iw0r | Wow | 1 | 0 | 2023-04-28T16:07:30 | CollectionLeather292 | false | null | 0 | ji2iw0r | false | /r/LocalLLaMA/comments/12pwygc/red_pajama/ji2iw0r/ | false | 1 |
t1_ji2gt4b | I think that does work, although I haven't tried it. It could definitely be useful to run more than one instance. I think the memory bandwidth would still be the limiting factor, if they were both doing something at the same time they'd be fighting over the bandwidth I guess? | 1 | 0 | 2023-04-28T15:54:05 | ambient_temp_xeno | false | null | 0 | ji2gt4b | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2gt4b/ | false | 1 |
t1_ji2g5xs | When you say textgen, do you mean the Oobabooga textgen-webui? Or is there another server with better API endpoints that runs in CLI? | 2 | 0 | 2023-04-28T15:49:57 | MoxieG | false | null | 0 | ji2g5xs | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji2g5xs/ | false | 2 |
t1_ji2f7x1 | I apologize for being unclear. More data to train on was precisely what I originally meant by "more tokens", not the number of tokens of context the model is trained for.
More compute expended without more tokens should still result in slightly better models, and just sizing up models won't yield much progress either.... | 4 | 0 | 2023-04-28T15:43:51 | friedrichvonschiller | false | null | 0 | ji2f7x1 | false | /r/LocalLLaMA/comments/1313b0q/oobabooga_vicuna_13b_seems_to_get_lost_after/ji2f7x1/ | false | 4 |
t1_ji2elf1 | Thanks for this
Do you have experience with a smaller model but faster gpu (2080ti) vs larger model in say a M1? | 1 | 0 | 2023-04-28T15:39:54 | ehbrah | false | null | 0 | ji2elf1 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2elf1/ | false | 1 |
t1_ji2dpci | Meta is a very large company and making those types of decisions would entail an infinite amount of meetings, and they would run out of biscuits before everyone could agree on what to do. | 1 | 0 | 2023-04-28T15:34:10 | morph3v5 | false | null | 0 | ji2dpci | false | /r/LocalLLaMA/comments/1303g6t/why_hasnt_meta_made_llama_open_source/ji2dpci/ | false | 1 |
t1_ji2da80 | [deleted] | 7 | 0 | 2023-04-28T15:31:24 | [deleted] | true | null | 0 | ji2da80 | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji2da80/ | false | 7 |
t1_ji2d2ou | Oobaboogas text generation webui also works out of the box and has an API | 4 | 0 | 2023-04-28T15:30:02 | MarlinMr | false | null | 0 | ji2d2ou | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji2d2ou/ | false | 4 |
t1_ji2cxvc | My Vicuna 13b
User: Invent a new word of accidentally opening dishwasher while it's running
Assistant:
"Spoon-tastic" (meaning an unexpected event happens due to using a spoon to open the dishwasher door while it's running).
User: invent couple more
Assistant
1. "Dish-turba... | 7 | 0 | 2023-04-28T15:29:10 | shirtshape | false | null | 0 | ji2cxvc | false | /r/LocalLLaMA/comments/131p1k9/saw_someone_asking_this_to_chatgpt_and_tried_the/ji2cxvc/ | false | 7 |
t1_ji295in | Dettmers basically says optimise for VRAM you can afford, the PCIE lane speed isn't a big issue. [The Best GPUs for Deep Learning in 2023 — An In-depth Analysis (timdettmers.com)](https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/) | 2 | 0 | 2023-04-28T15:04:42 | PookaMacPhellimen | false | null | 0 | ji295in | false | /r/LocalLLaMA/comments/131i505/how_much_of_a_bottleneck_or_performance_loss_is/ji295in/ | false | 2 |
t1_ji27zne | Interesting find about the memory. [There is discussion at github regarding CPU cores.](https://github.com/ggerganov/llama.cpp/issues/39#issuecomment-1465138843)
I imagine a CPU with more cores could run multiple instance at a time. | 1 | 0 | 2023-04-28T14:57:04 | AlphaPrime90 | false | 2023-04-28T15:00:29 | 0 | ji27zne | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji27zne/ | false | 1 |
t1_ji260z6 | Informative, Thanks for explaining. | 1 | 0 | 2023-04-28T14:44:17 | AlphaPrime90 | false | null | 0 | ji260z6 | false | /r/LocalLLaMA/comments/131fsc1/want_to_run_two_models_at_the_same_time_vram/ji260z6/ | false | 1 |
t1_ji23rdw | I think so :) | 3 | 0 | 2023-04-28T14:29:23 | Famberlight | false | null | 0 | ji23rdw | false | /r/LocalLLaMA/comments/131p1k9/saw_someone_asking_this_to_chatgpt_and_tried_the/ji23rdw/ | false | 3 |
t1_ji23gpv | I don’t have a gpu that works with it | 3 | 0 | 2023-04-28T14:27:27 | pokeuser61 | false | null | 0 | ji23gpv | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji23gpv/ | false | 3 |
t1_ji2378c | I'm going to try and run mine off an 850w PSU while power limiting. Probably a 1600W my next purchase. | 1 | 0 | 2023-04-28T14:25:42 | PookaMacPhellimen | false | null | 0 | ji2378c | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji2378c/ | false | 1 |
t1_ji223x0 | Thanks! I ended up running it in VisualStudio. Another (maybe dumb) question. When I run the command
./main -m ./models/ggml-vicuna-7b-1.1-q4\_1.bin -n 80 --color -i -r "User:" -f prompts/dan.txt
instead of it being interactive, it just starts talking for both itself and me. Is there a fix to this so that it stops wh... | 1 | 0 | 2023-04-28T14:18:30 | randomlurker151 | false | 2023-04-28T14:49:51 | 0 | ji223x0 | false | /r/LocalLLaMA/comments/131i62l/issue_with_running/ji223x0/ | false | 1 |
t1_ji21ctu | What is the license for the RedPajamas data set ? | 1 | 0 | 2023-04-28T14:13:22 | MaybeTheDoctor | false | null | 0 | ji21ctu | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji21ctu/ | false | 1 |
t1_ji1znni | I forgot the original winner, was it dish-ruption? | 5 | 0 | 2023-04-28T14:01:34 | sfhsrtjn | false | null | 0 | ji1znni | false | /r/LocalLLaMA/comments/131p1k9/saw_someone_asking_this_to_chatgpt_and_tried_the/ji1znni/ | false | 5 |
t1_ji1zequ | In my current setup I am not waiting more than a minute for models to load from SaS spinners. And once it caches, it takes like 10s to re-load.
My real worry is that the 3090 will be waiting forever on the P40 to finish. when generating, especially once context gets going. Ideally I will get a second 3090 in the futur... | 1 | 0 | 2023-04-28T13:59:51 | a_beautiful_rhind | false | null | 0 | ji1zequ | false | /r/LocalLLaMA/comments/131i505/how_much_of_a_bottleneck_or_performance_loss_is/ji1zequ/ | false | 1 |
t1_ji1y7r3 | I copied this from the Ooba Read Me, and it’s basically all I know about what the flags do:
--quant_attn (triton) Enable quant attention.
--warmup_autotune (triton) Enable warmup autotune.
--fused_mlp (triton) Enable fused mlp.
I noticed they added the flags recently, and then quickly changed it to defaul... | 3 | 0 | 2023-04-28T13:51:32 | disarmyouwitha | false | null | 0 | ji1y7r3 | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1y7r3/ | false | 3 |
t1_ji1y05w | Stable Diffusion models are probabilistic models that are designed to work well with the merging technique proposed in the paper. It's not really obvious how you'd apply the same technique to language models.
I have done some experiments with merging the outputs of language models. Or rather, Llama instances with diff... | 9 | 0 | 2023-04-28T13:50:04 | ReturningTarzan | false | null | 0 | ji1y05w | false | /r/LocalLLaMA/comments/131nayh/anyone_got_to_model_merging_yet/ji1y05w/ | false | 9 |
t1_ji1xj9g | Going to benchmark soon. The main advantage of llama.cpp is quantisation allowing to inference big models on any hardware. Both projects utilise AVX and NEON accelerations if possible. | 8 | 0 | 2023-04-28T13:46:44 | Gatzuma | false | null | 0 | ji1xj9g | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji1xj9g/ | false | 8 |
t1_ji1wu0g | Bing isn't always using gpt4. | 0 | 0 | 2023-04-28T13:41:41 | Tostino | false | null | 0 | ji1wu0g | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/ji1wu0g/ | false | 0 |
t1_ji1wtqa | The biggest reason I'm not switching from text-generation-webui is that it has GPTQ / 4-bit support with CUDA.
Hopefully transformers integrates GPTQ support so all these other UIs get 4bit. | 5 | 0 | 2023-04-28T13:41:38 | harrro | false | 2023-04-28T13:45:30 | 0 | ji1wtqa | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji1wtqa/ | false | 5 |
t1_ji1uhql | Loading really doesn't take that long. The bottleneck is the speed of the disk, which for an NVMe SSD could be like 6 GB/S. PCIe 3.0 x16 is about 20 times faster than that. So you should be able to load the 4-bit 65B weights in something like 6 seconds, from fast enough storage. | 2 | 0 | 2023-04-28T13:24:40 | ReturningTarzan | false | null | 0 | ji1uhql | false | /r/LocalLLaMA/comments/131i505/how_much_of_a_bottleneck_or_performance_loss_is/ji1uhql/ | false | 2 |
t1_ji1u7wr | [deleted] | 5 | 0 | 2023-04-28T13:22:37 | [deleted] | true | null | 0 | ji1u7wr | false | /r/LocalLLaMA/comments/131rajf/local_llama_rest_api_with_llamago_v14/ji1u7wr/ | false | 5 |
t1_ji1t848 | Set "use\_cache" to "true" in the model's folder config.json to fix slow speed. | 2 | 0 | 2023-04-28T13:15:04 | ChocolateSpotBoy | false | null | 0 | ji1t848 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji1t848/ | false | 2 |
t1_ji1t7fw | Set "use\_cache" to "true" in the model's folder config.json to fix slow speed. | 2 | 0 | 2023-04-28T13:14:55 | ChocolateSpotBoy | false | null | 0 | ji1t7fw | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji1t7fw/ | false | 2 |
t1_ji1t6b4 | [removed] | 0 | 0 | 2023-04-28T13:14:40 | [deleted] | true | null | 0 | ji1t6b4 | false | /r/LocalLLaMA/comments/131fsc1/want_to_run_two_models_at_the_same_time_vram/ji1t6b4/ | false | 0 |
t1_ji1t3gb | Set "use\_cache" to "true" in the model's folder config.json to fix slow speed. | 2 | 0 | 2023-04-28T13:14:03 | ChocolateSpotBoy | false | null | 0 | ji1t3gb | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji1t3gb/ | false | 2 |
t1_ji1soag | Serge is really simple and easy UI out of the box.
The only downside for me is not being able to use GPU (since llama.cpp) | 6 | 0 | 2023-04-28T13:10:45 | shovelrage | false | null | 0 | ji1soag | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji1soag/ | false | 6 |
t1_ji1s5rw | Sure that sounds like a good idea! And yes that's what I meant by TSQL. It's typically enough to say TSQL instead of SQL to differenciate microsoft's sql from other versions. So I don't get code like SELECT [whatever] LIMIT [x]. I get "select top 100 [whatever] etc. It needs to basically run in SSMS on sql server 2021.... | 1 | 0 | 2023-04-28T13:06:43 | YearZero | false | 2023-04-28T13:18:48 | 0 | ji1s5rw | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/ji1s5rw/ | false | 1 |
t1_ji1rqub | can you explain what i should add to the guide under the RUN section, in order to explain to people, what flags and model types to use, to achieve this? I just started using triton 2 hours ago and have no idea :) | 2 | 0 | 2023-04-28T13:03:21 | _underlines_ | false | null | 0 | ji1rqub | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1rqub/ | false | 2 |
t1_ji1rmyk | I made several updates to the guide since posting. should fix issues like:
- cannot find module chardet / cchardet
- bitsandbytes without GPU support
- xformers not installed
etc. | 5 | 0 | 2023-04-28T13:02:29 | _underlines_ | false | null | 0 | ji1rmyk | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1rmyk/ | false | 5 |
t1_ji1r8v3 | Takes just a few lines of code... Even llama model could write u the code for merging model. | -4 | 0 | 2023-04-28T12:59:22 | FHSenpai | false | null | 0 | ji1r8v3 | false | /r/LocalLLaMA/comments/131nayh/anyone_got_to_model_merging_yet/ji1r8v3/ | false | -4 |
t1_ji1pj7t | You don’t need the ggml one unless you want to run it in CPU and you can grab either of the .safetensors and try them one at a time if space is an issue! Honestly I’d say grab the group-by one and if you go OOM you can just download the other one!
This is my “usual” command, though sometimes I switch the wbits and gro... | 1 | 0 | 2023-04-28T12:45:39 | disarmyouwitha | false | null | 0 | ji1pj7t | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1pj7t/ | false | 1 |
t1_ji1p5h4 | Two years ago you wouldn't dream of a smart AI that understand you and answer you like human would, let alone use it on your own computer. It's in it's infancy still.
10 years from now you'll be glad a bunch of enthusiastic researchers hijacked it this early and didn't let it be a big corpo thing only.
Do you want ... | 1 | 0 | 2023-04-28T12:42:31 | Dont_Bother96 | false | null | 0 | ji1p5h4 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/ji1p5h4/ | false | 1 |
t1_ji1p1c9 | Oh the two safetensors, like you said, one is with groupsize and one is without, so I could just try one to Start | 2 | 0 | 2023-04-28T12:41:33 | timtulloch11 | false | null | 0 | ji1p1c9 | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1p1c9/ | false | 2 |
t1_ji1oxyd | I'm actually looking for an API myself and not been able to get textgen to work, but the API of serge works for me so far at least in testing with curl.
The Right Choice is always going to be the one that works for each person! :-) | 6 | 0 | 2023-04-28T12:40:45 | Environmental-Tie942 | true | null | 0 | ji1oxyd | false | /r/LocalLLaMA/comments/131nnis/serge_just_works/ji1oxyd/ | false | 6 |
t1_ji1ove8 | It's substantial. 5-8x slower, in my limited experience. On a 3060, with the movel in VRAM, a llama-based chatbot responds at about the same speed as a person can type. With the model in system memory, it's more of a "ask now and come back for the answer later" situation. | 3 | 0 | 2023-04-28T12:40:10 | candre23 | false | null | 0 | ji1ove8 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/ji1ove8/ | false | 3 |
t1_ji1oup8 | Thanks, I didn't try that one so I definitely will today when I finish work. Do you run it with any parameters that keep it from going OOM or its just alright as is? And would I need to download all the files there? I have been getting safetensors files with the other small stuff. Do I need that big ggml file to use te... | 1 | 0 | 2023-04-28T12:40:01 | timtulloch11 | false | null | 0 | ji1oup8 | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1oup8/ | false | 1 |
t1_ji1odip | I am using a 4090 as well, I think this is the repo I am using for 30b (though I haven’t found a “favorite 30b” yet, so let me know if you find one!)
https://huggingface.co/MetaIX/GPT4-X-Alpaca-30B-4bit/tree/main
They have it with groupsize and without groupsize (I find that with very long contexts sometime I can go ... | 2 | 0 | 2023-04-28T12:36:01 | disarmyouwitha | false | null | 0 | ji1odip | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1odip/ | false | 2 |
t1_ji1o5n6 | Very cool. Gives me hope we aren't going to be that far off from working with book sized reference points. | 1 | 0 | 2023-04-28T12:34:08 | LostHisDog | false | null | 0 | ji1o5n6 | false | /r/LocalLLaMA/comments/1313b0q/oobabooga_vicuna_13b_seems_to_get_lost_after/ji1o5n6/ | false | 1 |
t1_ji1mpsw | What gpu are you using for 30b 4 bit? I have an rtx 4090 and got the 13b 8 bit working, but it won't load my 30b 4bit model.... maybe I got the wrong weights | 1 | 0 | 2023-04-28T12:21:32 | timtulloch11 | false | null | 0 | ji1mpsw | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1mpsw/ | false | 1 |
t1_ji1mlff | Interesting. I will have to read through their paper again. For the 13B one, do you think it’s possible to set up something like deep speed? | 1 | 0 | 2023-04-28T12:20:29 | flashdude64 | false | null | 0 | ji1mlff | false | /r/LocalLLaMA/comments/131g7d8/advice_to_finetune_on_2xa100_80gb_for_7b_13b/ji1mlff/ | false | 1 |
t1_ji1mkho | LLaMA's license doesn't allow you to use commercially. Most people are just using the leak, and it being not legit, the weights can be taken down by Meta anytime.
The RedPajamas dataset is a replica of the data used to train LLaMA, and would subsequently be used to train a LLaMA replica with better usage license. | 1 | 0 | 2023-04-28T12:20:16 | CKtalon | false | null | 0 | ji1mkho | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji1mkho/ | false | 1 |
t1_ji1medp | Oh this is really great for LoRA. Thank you | 1 | 0 | 2023-04-28T12:18:45 | flashdude64 | false | null | 0 | ji1medp | false | /r/LocalLLaMA/comments/131g7d8/advice_to_finetune_on_2xa100_80gb_for_7b_13b/ji1medp/ | false | 1 |
t1_ji1m3ev | Man, I started using the new triton flags last night (which I had been avoiding because it takes longer to start up, and it spikes the power on my video card when starting up):
--quant_attn
--warmup_autotune
--fused_mlp
But I saw a VERY consistent jump from **20t/s to 30t/s** on 13b models, and from **10t... | 4 | 0 | 2023-04-28T12:15:56 | disarmyouwitha | false | 2023-04-28T23:32:28 | 0 | ji1m3ev | false | /r/LocalLLaMA/comments/131pe9k/textgen_guide_for_manual_windows_wsl2unbuntu/ji1m3ev/ | false | 4 |
t1_ji1lsta | You sure it's running on the GPU? It may be running with `llama.cpp` which memory maps the file. Most OSes cache file data, so when the cache is "hot" (all the data is already in the cache) then loading will basically seem instant.
7B 4bit is a relatively small file so it is more likely to fit in the cache than some o... | 6 | 0 | 2023-04-28T12:13:15 | KerfuffleV2 | false | null | 0 | ji1lsta | false | /r/LocalLLaMA/comments/131lpfm/can_anyone_explain_why_wizard_7b_4bit_128g_seems/ji1lsta/ | false | 6 |
t1_ji1lata | Well the big companies with all the cash are only interested in selling their tech to other big companies with lots of cash. Their business plan is to get huge contracts from corporations who can use the AI tech to replace human workers with less-expensive AI licenses. LTM isn't a priority, and is potentially a money... | 3 | 0 | 2023-04-28T12:08:39 | candre23 | false | 2023-04-28T12:50:03 | 0 | ji1lata | false | /r/LocalLLaMA/comments/1313b0q/oobabooga_vicuna_13b_seems_to_get_lost_after/ji1lata/ | false | 3 |
t1_ji1l9au | Awesome!! Thank you for your work man!!! | 2 | 0 | 2023-04-28T12:08:16 | skatardude10 | false | null | 0 | ji1l9au | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/ji1l9au/ | false | 2 |
t1_ji1kyr8 | How do you run a 3090 in an 8x slot? Are you using like a riser/adapter? | 1 | 0 | 2023-04-28T12:05:36 | darkjediii | false | null | 0 | ji1kyr8 | false | /r/LocalLLaMA/comments/131i505/how_much_of_a_bottleneck_or_performance_loss_is/ji1kyr8/ | false | 1 |
t1_ji1kjrw | Can you explain to us normies what this is useful for and/or why it matters? Other than being small enough to run on a potato GPU, why is this noteworthy? What is the redpajama dataset and how is it different/better than what llama was trained on? In a world with several very functional 13b-4bit models to choose fro... | 1 | 0 | 2023-04-28T12:01:46 | candre23 | false | null | 0 | ji1kjrw | false | /r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/ji1kjrw/ | false | 1 |
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