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_jjvpnwc | Wikipedia 😶🌫️ | 18 | 0 | 2023-05-12T14:56:51 | hapliniste | false | null | 0 | jjvpnwc | false | /r/LocalLLaMA/comments/13fn6tp/best_model_to_act_as_info_hub_for_preppers/jjvpnwc/ | false | 18 |
t1_jjvpct1 | I think other permissive models are still catching up to LLaMa because of the earlier release, but the focus right now is (and imo still should be) on things like better inference, quantization, fine tuning techniques, etc because these should translate over to new models whenever those come out.
​
Right now, ... | 5 | 0 | 2023-05-12T14:54:44 | oscarpildez | false | null | 0 | jjvpct1 | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjvpct1/ | false | 5 |
t1_jjvpbwa | Sweet. Checked out the git. The agent part but not the documents part? | 1 | 0 | 2023-05-12T14:54:33 | Bozo32 | false | null | 0 | jjvpbwa | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjvpbwa/ | false | 1 |
t1_jjvp7r3 | You can ask GPT-4 to generate questions, too. Here's one GPT-4 gave me, "Imagine a hypothetical world where sentient AI has become commonplace, and they have even formed their own nation called 'Artificialia.' This country has recently passed a law that allows AI to legally own intellectual property. Consider this deve... | 1 | 0 | 2023-05-12T14:53:46 | pseudonerv | false | null | 0 | jjvp7r3 | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvp7r3/ | false | 1 |
t1_jjvos0p | Yeah, we all know that, that's what the complaint's about. | 3 | 0 | 2023-05-12T14:50:46 | fakepostman | false | null | 0 | jjvos0p | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvos0p/ | false | 3 |
t1_jjvo369 | You guys really need to read the ToS for openAI before doing something like this. Doubly so if it is for commercial use in any way shape or form.
Their ToS does not mess around one bit and it could be very expensive mistake to ignore. | 1 | 0 | 2023-05-12T14:46:01 | ElectroFried | false | null | 0 | jjvo369 | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjvo369/ | false | 1 |
t1_jjvn0ho | I get your point but it's clear that OP didn't do that, he just put it in the calculator, got those results and pasted it. | 1 | 0 | 2023-05-12T14:38:38 | FullOf_Bad_Ideas | false | null | 0 | jjvn0ho | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvn0ho/ | false | 1 |
t1_jjvmrz2 | I don't know if training for the model will be possible in this context. I wanted to use an existing model but block inputs / control outputs based on certain contexts. I am not familiar with that github tho so I will read over it in more depth and see if it will be useful.
Thank You! | 1 | 0 | 2023-05-12T14:36:59 | ML_SWE | false | null | 0 | jjvmrz2 | false | /r/LocalLLaMA/comments/13fm3yf/how_to_setup_a_model_with_guardrails/jjvmrz2/ | false | 1 |
t1_jjvltq4 | I think of guardrails as another dimension of human preferences: whether you are training a model to answer questions more gooder or avoid saying horrifying stuff, you are teaching the model a preference. So I thinks it's a straightforward [RLHF](https://github.com/allenai/RL4LMs) problem but from a different perspect... | 2 | 0 | 2023-05-12T14:30:22 | Mbando | false | null | 0 | jjvltq4 | false | /r/LocalLLaMA/comments/13fm3yf/how_to_setup_a_model_with_guardrails/jjvltq4/ | false | 2 |
t1_jjvknb6 | The issue is your CPU only has 20 PCI lanes. Assuming your motherboard can do PCI x8 on both current 3090's, that's burning up 16 lanes already. This is an article that goes into this architecture: https://www.cgdirector.com/guide-to-pcie-lanes/
If you wanna go wild with a 4 card setup, you're probably going to want t... | 3 | 0 | 2023-05-12T14:22:16 | synn89 | false | null | 0 | jjvknb6 | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjvknb6/ | false | 3 |
t1_jjvk5jq | awesome, thanks! i will try when i get back home. | 1 | 0 | 2023-05-12T14:18:50 | IlIllIlllIlllIllll | false | null | 0 | jjvk5jq | false | /r/LocalLLaMA/comments/13fibvd/i_cant_get_any_of_the_30b_models_to_run_on_my/jjvk5jq/ | false | 1 |
t1_jjvk2a9 | While I agree pcie should be fast enough to send over the intermediate results, I’ve noticed in my setup that just putting in the nvlink gives me about a significant speed up when I split the model between 2 cards. (~6t/s -> 8.5t/s for a 30b model).
Another weird thing I can’t figure out is why is it that when I spli... | 2 | 0 | 2023-05-12T14:18:11 | scooby_pancakes | false | null | 0 | jjvk2a9 | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjvk2a9/ | false | 2 |
t1_jjvjuwe | wizardLM-7B absolutely killin' it. | 2 | 0 | 2023-05-12T14:16:44 | metamec | false | null | 0 | jjvjuwe | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvjuwe/ | false | 2 |
t1_jjvjtie | Knowledge based questions and coding are two areas lacking a lot. Examples:
* What are the best restaurants in a city, how many reviews do they have, what do people like and not like about them, which dishes are most favored by locals?
* Ask for some details about a professional text book or a novel (not the dickens... | 1 | 0 | 2023-05-12T14:16:27 | Faintly_glowing_fish | false | null | 0 | jjvjtie | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvjtie/ | false | 1 |
t1_jjvj6pw | >This guy shows some examples with LangChain + Local LLMs including Vicuna or WizardML
Thank you | 1 | 0 | 2023-05-12T14:11:56 | sardoa11 | false | null | 0 | jjvj6pw | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjvj6pw/ | false | 1 |
t1_jjvgfvp | >mlock
Thank you for the mlock suggestion, that has definitely improved performance significantly. Went from 0.2-1.5 tokens/sec to \~5 tokens/sec with WizardLM uncensored 13B (5\_0 quantized). | 2 | 0 | 2023-05-12T13:52:14 | yuicebox | false | null | 0 | jjvgfvp | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjvgfvp/ | false | 2 |
t1_jjvg1z3 | This is all you need to show executives. | 1 | 0 | 2023-05-12T13:49:24 | anatacj | false | null | 0 | jjvg1z3 | false | /r/LocalLLaMA/comments/13e4nqo/google_is_comparing_their_llm_to_llms_from_2022/jjvg1z3/ | false | 1 |
t1_jjvew5c | It's not a waste really. kobold.cpp works pretty well in windoes and seems to use the gpu to some degree. It's usable. depending on your cpu and model size the speed isn't too bad.
amd has finally come out and said they are going to add rocm support for windows and consumer cards. The timeframe I'm not sure. I'm hopin... | 1 | 0 | 2023-05-12T13:40:44 | Honato2 | false | null | 0 | jjvew5c | false | /r/LocalLLaMA/comments/12hi6tc/complete_guide_for_koboldai_and_oobabooga_4_bit/jjvew5c/ | false | 1 |
t1_jjvefv7 | Thanks! | 1 | 0 | 2023-05-12T13:37:21 | mr_house7 | false | null | 0 | jjvefv7 | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvefv7/ | false | 1 |
t1_jjvecth | Good question | 3 | 0 | 2023-05-12T13:36:42 | mr_house7 | false | null | 0 | jjvecth | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvecth/ | false | 3 |
t1_jjvd6od | This guy shows some examples with LangChain + Local LLMs including Vicuna or WizardML [https://www.youtube.com/watch?v=9ISVjh8mdlA](https://www.youtube.com/watch?v=9ISVjh8mdlA) | 9 | 0 | 2023-05-12T13:27:44 | jumperabg | false | null | 0 | jjvd6od | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjvd6od/ | false | 9 |
t1_jjvd1j6 | I compared some lately too and GPT4-X-Alpaca-30B-4bit was better at maths than the other locally runnable LLMs, but it was a very limited test. | 1 | 0 | 2023-05-12T13:26:39 | ptitrainvaloin | false | null | 0 | jjvd1j6 | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjvd1j6/ | false | 1 |
t1_jjvcwog | I mean colab is awesome for the price. I have used it to train some large(ish) models. and its dirt cheap. but I feel like setting up a server at home and hitting the endpoint as many times as you like is awesome! | 1 | 0 | 2023-05-12T13:25:37 | klop2031 | false | null | 0 | jjvcwog | false | /r/LocalLLaMA/comments/12l1khp/easiest_way_to_train_llama_with_lora/jjvcwog/ | false | 1 |
t1_jjvbm4j | >For windows if you have amd it's just not going to work. AMD doesn't have ROCM for windows for whatever reason. There are some ways to get around it at least for stable diffusion like onnx or shark but I don't know if text generation has been added into them yet or not.
Man, lots of my recent downloads going to waste... | 2 | 0 | 2023-05-12T13:15:37 | v-sys | false | null | 0 | jjvbm4j | false | /r/LocalLLaMA/comments/12hi6tc/complete_guide_for_koboldai_and_oobabooga_4_bit/jjvbm4j/ | false | 2 |
t1_jjv9qvy | I think it’s a pure focus on improving the technology without paying nearly as much regard to helping maintain stability for those who may not be following the GitHub discussion daily or for the more laymen types who are just trying to use this tech. Honestly, this whole space seems to be held together by people like t... | 4 | 0 | 2023-05-12T13:00:35 | PacmanIncarnate | false | null | 0 | jjv9qvy | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjv9qvy/ | false | 4 |
t1_jjv7x00 | They will likely just end up buying out anthropic. | 1 | 0 | 2023-05-12T12:45:29 | Loud_Clerk_9399 | false | null | 0 | jjv7x00 | false | /r/LocalLLaMA/comments/13e4nqo/google_is_comparing_their_llm_to_llms_from_2022/jjv7x00/ | false | 1 |
t1_jjv7pul | No it isn't, it's an irreducible fraction that can be represented decimally as 0.8̅1̅ or 0.81... or 0.81 recurring or however way you like. 0.818181818182 is a rounded approximation. So is 0.82, which would be the appropriate precision for the context, if not 0.8. | 5 | 0 | 2023-05-12T12:43:48 | fakepostman | false | null | 0 | jjv7pul | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjv7pul/ | false | 5 |
t1_jjv79k2 | The hardware you have is more than enough. Go with the 30B 4 bit. | 1 | 0 | 2023-05-12T12:39:57 | 2muchnet42day | false | null | 0 | jjv79k2 | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjv79k2/ | false | 1 |
t1_jjv762i | Thanks for the clarification! | 1 | 0 | 2023-05-12T12:39:07 | disarmyouwitha | false | null | 0 | jjv762i | false | /r/LocalLLaMA/comments/13f8ggs/will_ddr5_ram_make_running_llms_on_cpu_more/jjv762i/ | false | 1 |
t1_jjv6luh | We’d never willingly put proper version control into this space. | 2 | 0 | 2023-05-12T12:34:17 | PacmanIncarnate | false | null | 0 | jjv6luh | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjv6luh/ | false | 2 |
t1_jjv6jg9 | That one works really well | 1 | 0 | 2023-05-12T12:33:41 | thibautrey | false | null | 0 | jjv6jg9 | false | /r/LocalLLaMA/comments/12m8fnm/best_local_equivalent_of_github_copilot/jjv6jg9/ | false | 1 |
t1_jjv6ap4 | > Should I be focusing on cores/threads, clock speed, or both?
If you're doing inference on GPU, which you should lest it be really slow, it doesn't matter.
> Would I be better off with an older/used Threadripper or Epyc CPU, or a newer Ryzen?
Server/HEDT platforms will give you more PCIe lanes and thus more GPUs. B... | 3 | 0 | 2023-05-12T12:31:29 | osmarks | false | 2023-05-12T12:34:58 | 0 | jjv6ap4 | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjv6ap4/ | false | 3 |
t1_jjv5dyh | It would be rather short description and short json so I won't exceed the max context. Many thanks! | 1 | 0 | 2023-05-12T12:23:12 | polawiaczperel | false | null | 0 | jjv5dyh | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjv5dyh/ | false | 1 |
t1_jjv55ep | Well, you could spin up a copy of [https://github.com/oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui) and do the finetuning 13B using 2 or 3 3090s in 8bit. My setup has dual 3090's and I have trained with both of them to handle the increased need for VRAM.
Also, I'm a huge fan of [... | 2 | 0 | 2023-05-12T12:21:04 | 2muchnet42day | false | null | 0 | jjv55ep | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjv55ep/ | false | 2 |
t1_jjv4lqh | I see, well we won't see people adapt it until there are a full 7b/13b/30b releases and they are good | 3 | 0 | 2023-05-12T12:16:05 | Bandit-level-200 | false | null | 0 | jjv4lqh | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjv4lqh/ | false | 3 |
t1_jjv4jjl | That was my plan to make a pairs (question and answer) with chatgpt, and use it as a dataset, but I do not know where to start with finetuning local models. I got 3 x rtx 3090, but I can also rent a cloud gpu if it would be needed for finetuning 13B local model. Could you provide me some advices regarding finetuning? | 2 | 0 | 2023-05-12T12:15:30 | polawiaczperel | false | 2023-05-12T12:20:33 | 0 | jjv4jjl | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjv4jjl/ | false | 2 |
t1_jjv4ebl | https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
Here is another leaderboard | 5 | 0 | 2023-05-12T12:14:11 | APUsilicon | false | null | 0 | jjv4ebl | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjv4ebl/ | false | 5 |
t1_jjv43sr | Upgrading to 3090 will be the better bang for the buck. | 2 | 0 | 2023-05-12T12:11:27 | Yes_but_I_think | false | null | 0 | jjv43sr | false | /r/LocalLLaMA/comments/13f8ggs/will_ddr5_ram_make_running_llms_on_cpu_more/jjv43sr/ | false | 2 |
t1_jjv3xo2 | ChatGPT already does this very well. What data do you have? Because if you already have both the description and the features for a given number or products, you can already set up a dataset for finetuning one of the available local LLMs. Otherwise, if you currently have just descriptions or maybe just features, you co... | 1 | 0 | 2023-05-12T12:09:50 | 2muchnet42day | false | null | 0 | jjv3xo2 | false | /r/LocalLLaMA/comments/13fin7r/how_can_i_do_this_with_local_llms/jjv3xo2/ | false | 1 |
t1_jjv3eak | They released a snapshot model I guess. | 1 | 0 | 2023-05-12T12:04:58 | ninjasaid13 | false | null | 0 | jjv3eak | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjv3eak/ | false | 1 |
t1_jjv3amc | Yes, ooba can load 4 bit.
However, if the config file that you downloaded with the model is asking it to load in 16bits, then ooba will try to do exactly that.
Since I don't understand the format of the config file, what I do is that I use ooba to write it.
* Load a small model in ooba that is already working for yo... | 3 | 0 | 2023-05-12T12:04:02 | Ganfatrai | false | null | 0 | jjv3amc | false | /r/LocalLLaMA/comments/13fibvd/i_cant_get_any_of_the_30b_models_to_run_on_my/jjv3amc/ | false | 3 |
t1_jjv2b08 | thanks! yeah i already have the 4-bit version. there are some guides on using oobabooga in 4 bit mode, but these are also 2 months old. there are newer guides which mention that stock oobabooga can load 4 bit now. so i guessed it wasnt necessary anymore. maybe i read this wrong.
should i follow the 4-bit guide at [htt... | 1 | 0 | 2023-05-12T11:55:05 | IlIllIlllIlllIllll | false | null | 0 | jjv2b08 | false | /r/LocalLLaMA/comments/13fibvd/i_cant_get_any_of_the_30b_models_to_run_on_my/jjv2b08/ | false | 1 |
t1_jjv2atm | It's a ballpark. Look at reply time more than just it/s, that can vary based on how many tokens are generated and context size. What is your score for a 3090 and a 30b model? Or P100?
The P100 only has 16gb of ram, why bother when you can get much newer cards. Especially at almost $300. Most people are only going to h... | 3 | 0 | 2023-05-12T11:55:02 | a_beautiful_rhind | false | null | 0 | jjv2atm | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjv2atm/ | false | 3 |
t1_jjv1j1r | Intel is getting rid of it as it makes the CPU run hot. | 1 | 0 | 2023-05-12T11:48:00 | Rear-gunner | false | null | 0 | jjv1j1r | false | /r/LocalLLaMA/comments/13elyk9/vram_limitations/jjv1j1r/ | false | 1 |
t1_jjv0ws9 | Surely we can have a generative AI come up with version names!
Here’s GPT4’s take -
You can create a naming system that incorporates both the LLM model version and the quantization algorithm version, using a combination of letters and numbers. For better readability and user experience, you can use a consistent patt... | 0 | 0 | 2023-05-12T11:42:14 | amemingfullife | false | null | 0 | jjv0ws9 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjv0ws9/ | false | 0 |
t1_jjv0rl3 | Something is very wrong with your 3090. You should have much higher generation speed. Also if you plan to do a test like that to compare you should use a fixed seed.
Your training options are limited on a p40. Training requires cards to access the entire model. Without nvlink you are limited to the much slower pcie lin... | 3 | 0 | 2023-05-12T11:40:52 | ElectroFried | false | null | 0 | jjv0rl3 | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjv0rl3/ | false | 3 |
t1_jjv0m82 | Yeah but you don’t have to re-download it? I literally just ran the script again now on my M1 to reconvert the .pth and it works fine. | 2 | 0 | 2023-05-12T11:39:27 | amemingfullife | false | 2023-05-12T11:43:09 | 0 | jjv0m82 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjv0m82/ | false | 2 |
t1_jjv0k3h | 3090 has 24 GB VRAM. If you want to run 30B Parameter model, you need to find a 4 bit quantised version so it fits in VRAM.
If you are already loading the 4 bit version, then it might be that oobabooga is trying to load it in 16bit. You need to change the model config file. Check oobabooga wiki for details. | 4 | 0 | 2023-05-12T11:38:54 | Ganfatrai | false | null | 0 | jjv0k3h | false | /r/LocalLLaMA/comments/13fibvd/i_cant_get_any_of_the_30b_models_to_run_on_my/jjv0k3h/ | false | 4 |
t1_jjv0j0n | You under-estimate the size of 13b at FP32. It's pretty freaking huge. Some models never released a full precision.
I can't believe all these people here making excuses for the dev being inconsiderate. Nobody is asking them to freeze the codebase. | 3 | 0 | 2023-05-12T11:38:37 | a_beautiful_rhind | false | null | 0 | jjv0j0n | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjv0j0n/ | false | 3 |
t1_jjuzywe | I would say you're already set to run Llama and derivatives up to 65B. In that case you'd want to use both GPUs, but NVLink isn't a huge factor, since there isn't (as far as I know) an implementation currently that can use both GPUs at once during inference. Rather, you'd be performing half the inference on one card, t... | 7 | 0 | 2023-05-12T11:33:16 | ReturningTarzan | false | null | 0 | jjuzywe | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjuzywe/ | false | 7 |
t1_jjuztud | With such a breaking change, just name the model ggml2 and everything would be already better. | 2 | 0 | 2023-05-12T11:31:52 | MiHumainMiRobot | false | null | 0 | jjuztud | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjuztud/ | false | 2 |
t1_jjuzsxb | You're free to keep what you have already and wait for things to stabilize before downloading more more things. If what you got works then you're good to go already.
as for why we are only about 3 months into this and it is going to change pretty often and sometimes its gonna be big changes. | 1 | 0 | 2023-05-12T11:31:38 | Honato2 | false | null | 0 | jjuzsxb | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjuzsxb/ | false | 1 |
t1_jjuzm99 | If you download the raw checkpoint files you can always convert again from source, it’s not that much of a hassle when you compare it against the speed of moving quickly.
That said they need to come up with a canonical versioning system stat, I’m definitely losing track of all my models now that I have two versions o... | 2 | 0 | 2023-05-12T11:29:50 | amemingfullife | false | null | 0 | jjuzm99 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjuzm99/ | false | 2 |
t1_jjuzjos | Oh gotcha. Yeah exactly, assumed something would be worked on. | 1 | 0 | 2023-05-12T11:29:08 | sardoa11 | false | null | 0 | jjuzjos | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjuzjos/ | false | 1 |
t1_jjuzbaa | Nothing specific. But I'll hope to be able to code a little over the weekend (no, it's not my repo).
I wanted to point out that tool support is being worked on. | 3 | 0 | 2023-05-12T11:26:49 | NickUnrelatedToPost | false | null | 0 | jjuzbaa | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjuzbaa/ | false | 3 |
t1_jjuz2fa | Have redpajama already released a model?, I thought they were still training | 1 | 0 | 2023-05-12T11:24:20 | Bandit-level-200 | false | null | 0 | jjuz2fa | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjuz2fa/ | false | 1 |
t1_jjuz2gw | Awesome will check it out. What’s happening on Monday? | 1 | 0 | 2023-05-12T11:24:20 | sardoa11 | false | null | 0 | jjuz2gw | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjuz2gw/ | false | 1 |
t1_jjuywm9 | Have a look at flurb18/AgentOoba
Still much of a work in progress, but some langchain tools are already in for testing purposes and Monday the situation may be even better. | 3 | 0 | 2023-05-12T11:22:44 | NickUnrelatedToPost | false | null | 0 | jjuywm9 | false | /r/LocalLLaMA/comments/13fcv56/vicunallamma_models_and_langchain_tools/jjuywm9/ | false | 3 |
t1_jjuxt5g | >peemissive
Sounds like a job for uncensored models. | 8 | 0 | 2023-05-12T11:11:34 | involviert | false | null | 0 | jjuxt5g | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjuxt5g/ | false | 8 |
t1_jjuxkdc | I had 2 rtx 3090 and bought third one, but I cannot use it properly because of PCI-e bandwidth limit on my motherboard, please take it into account. | 5 | 0 | 2023-05-12T11:09:02 | polawiaczperel | false | null | 0 | jjuxkdc | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjuxkdc/ | false | 5 |
t1_jjuxcrz | Yes | 1 | 0 | 2023-05-12T11:06:52 | uhohritsheATGMAIL | false | null | 0 | jjuxcrz | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjuxcrz/ | false | 1 |
t1_jjux8dh | The number of questions isn't even. Let's say you get 9 out of 11 questions right.
That's 0.818181818182 correct answer rate. | 0 | 0 | 2023-05-12T11:05:34 | FullOf_Bad_Ideas | false | null | 0 | jjux8dh | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjux8dh/ | false | 0 |
t1_jjux5hm | Technically you can train LoRA on CPU. Oobaboogas --cpu switch is sufficent for that.
Performance is a different topic. But when your training data is tiny and you have a day to spare... | 3 | 0 | 2023-05-12T11:04:44 | NickUnrelatedToPost | false | null | 0 | jjux5hm | false | /r/LocalLLaMA/comments/13f8ggs/will_ddr5_ram_make_running_llms_on_cpu_more/jjux5hm/ | false | 3 |
t1_jjux14b | lol | 1 | 0 | 2023-05-12T11:03:24 | uhohritsheATGMAIL | false | null | 0 | jjux14b | false | /r/LocalLLaMA/comments/13ek9sp/can_anyone_recommend_me_some_specs_that_will_give/jjux14b/ | false | 1 |
t1_jjuwqed | Folks, let me tell you, it's the most amazing language model ever created. I had big guys try it and they cried, they cried. They said, "this is the best AI model we ever tried".
It's fantastic, you wouldn't believe it. | 3 | 0 | 2023-05-12T11:00:08 | 2muchnet42day | false | null | 0 | jjuwqed | false | /r/LocalLLaMA/comments/13exft0/has_anyone_any_idea_when_the_google_offline_gecko/jjuwqed/ | false | 3 |
t1_jjuvzns | You said "painfully slow" currently. Does that mean less than 1 word per second? If so, have you tried the parameter "--mlock" in your initial command? It sped up 7B LLMs on my MacBook Air from 12 tokens per second to around 1 token per second. Of course, even if this fixes speed for you, you probably still want new ha... | 3 | 0 | 2023-05-12T10:51:55 | 404underConstruction | false | null | 0 | jjuvzns | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjuvzns/ | false | 3 |
t1_jjuv7uw | nah.. they lack nothing but speeeed
edit: and proper cooling in a desktop :D | 1 | 0 | 2023-05-12T10:43:10 | a_beautiful_rhind | false | 2023-05-12T10:47:12 | 0 | jjuv7uw | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjuv7uw/ | false | 1 |
t1_jjuv2eo | I have a 3090 and a P40.. the P40s aren't power hungry compared to the 3090. They idle a bit higher and that's it. They're 250w MAX.
Do not buy P100s, they are slower for inference and have less memory. They were made for double precision which nobody uses.
As to NVlink, it **WILL NOT** turn the cards into a larger c... | 8 | 0 | 2023-05-12T10:41:26 | a_beautiful_rhind | false | null | 0 | jjuv2eo | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjuv2eo/ | false | 8 |
t1_jjuub8x | I've got that Ryzen as well. A bit unfortunate CPU because it lacks the modern extensions like AVX512 that llama.cpp would use to run fast. Thus, on this CPU with 16 cores everything still runs very slowly compared to M1 Macbook... | 2 | 0 | 2023-05-12T10:32:37 | Douppikauppa | false | null | 0 | jjuub8x | false | /r/LocalLLaMA/comments/13elyk9/vram_limitations/jjuub8x/ | false | 2 |
t1_jjuu3dn | 4x3090 is good for something bigger which there really isn't a lot of.
Your machine is already capable of running the entire llama series. And no, I think nvlink doesn't pool memory for pytorch. There is no software support for it, I looked it up when I tried to answer the same question.
More GPU won't make anything ... | 2 | 0 | 2023-05-12T10:29:59 | a_beautiful_rhind | false | null | 0 | jjuu3dn | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjuu3dn/ | false | 2 |
t1_jjutx63 | My server with 2 cards doesn't really go above 600w.. so I think a *real* 1500w can run it. | 2 | 0 | 2023-05-12T10:27:54 | a_beautiful_rhind | false | null | 0 | jjutx63 | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjutx63/ | false | 2 |
t1_jjutwdh | The problem right now is there isn't yet a really good openly licensed model around. The biggest RedPajama-based model I've seen out there is 3B parameters.
The work folks are doing on how to further train the models, use LoRAs, the support software (llama.cpp, Oobabooga, etc.) will all come over pretty directly when ... | 12 | 0 | 2023-05-12T10:27:38 | the_quark | false | null | 0 | jjutwdh | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjutwdh/ | false | 12 |
t1_jjut0vp | On the 3090 making a lora with the 1.5MB gpteacher "roleplay" dataset took 30 minutes. I think it was training for 3 epochs using the 7b. I saw after like 2.7 epochs the loss went back up so it must have been "done". | 1 | 0 | 2023-05-12T10:17:03 | a_beautiful_rhind | false | null | 0 | jjut0vp | false | /r/LocalLLaMA/comments/13eq6ys/llms_designed_to_act_like_netizens/jjut0vp/ | false | 1 |
t1_jjurzq4 | That's middle aged in open source AI years | 1 | 0 | 2023-05-12T10:03:55 | ihexx | false | null | 0 | jjurzq4 | false | /r/LocalLLaMA/comments/13esozg/is_there_vicunauncensored/jjurzq4/ | false | 1 |
t1_jjurfpw | Did you do multiple runs and calculate average scores or just one? Because I've seen too many comparisons that only take the first response and neglect how much RNG impacts the results.
The more runs, the better. Of course that takes more time and effort, but it's necessary to get meaningful results.
That said, I too... | 3 | 0 | 2023-05-12T09:56:36 | WolframRavenwolf | false | null | 0 | jjurfpw | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjurfpw/ | false | 3 |
t1_jjuraa2 | Usmle | 2 | 0 | 2023-05-12T09:54:38 | ID4gotten | false | null | 0 | jjuraa2 | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjuraa2/ | false | 2 |
t1_jjur66y | Part of the problem is, this is like .. 4th time it happened? And no versioning in the file names or releases, I think. Gets increasingly hard to figure out what model goes with what version. | 4 | 0 | 2023-05-12T09:53:09 | TheTerrasque | false | null | 0 | jjur66y | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjur66y/ | false | 4 |
t1_jjuquz2 | Sounds like something a bard would say | 1 | 0 | 2023-05-12T09:49:04 | fish312 | false | null | 0 | jjuquz2 | false | /r/LocalLLaMA/comments/13exft0/has_anyone_any_idea_when_the_google_offline_gecko/jjuquz2/ | false | 1 |
t1_jjuql30 | Actually I don't - but I gladly tolerate it as the price we have to pay for such rapid progress. ;) | 5 | 0 | 2023-05-12T09:45:23 | WolframRavenwolf | false | null | 0 | jjuql30 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjuql30/ | false | 5 |
t1_jjuqgw2 | Thanks, I was imagining it would be more difficult, I will give it a try! | 2 | 0 | 2023-05-12T09:43:50 | adv3ntur3_ | false | null | 0 | jjuqgw2 | false | /r/LocalLLaMA/comments/13c3i33/creating_loras_either_with_llamacpp_or_oobabooga/jjuqgw2/ | false | 2 |
t1_jjuqf76 | 32GB ddr5 goes for $100, 32GB ddr4 goes for $50.
If it's easy, buy the ddr5 and test, if it's faster congrats and post here. If it's the same just return it or sell and post here. | 0 | 0 | 2023-05-12T09:43:12 | AlphaPrime90 | false | null | 0 | jjuqf76 | false | /r/LocalLLaMA/comments/13f8ggs/will_ddr5_ram_make_running_llms_on_cpu_more/jjuqf76/ | false | 0 |
t1_jjuqdpv | We had LLaMA for two months before these open source alternatives starting popping up. We definitely should focus on truly open source LLMs, but it's clear that there's already a huge community built around LLaMA.
It's probably going to shift to other LLMs soon. And that's good. | 16 | 0 | 2023-05-12T09:42:39 | 2muchnet42day | false | 2023-05-12T11:03:36 | 0 | jjuqdpv | false | /r/LocalLLaMA/comments/13fcw28/should_the_community_focus_on_more_peemissive/jjuqdpv/ | false | 16 |
t1_jjupvig | Who killed JFK?😁 | -6 | 0 | 2023-05-12T09:35:51 | darxkies | true | null | 0 | jjupvig | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjupvig/ | false | -6 |
t1_jjupegf | [deleted] | 1 | 0 | 2023-05-12T09:29:21 | [deleted] | true | null | 0 | jjupegf | false | /r/LocalLLaMA/comments/13ek9sp/can_anyone_recommend_me_some_specs_that_will_give/jjupegf/ | false | 1 |
t1_jjupb7t | Plus I doubt that we will have anything comparable to GPT4 this year even. I hope for getting close to 3.5-turbo performance though! | 2 | 0 | 2023-05-12T09:28:08 | VertexMachine | false | null | 0 | jjupb7t | false | /r/LocalLLaMA/comments/13e4nqo/google_is_comparing_their_llm_to_llms_from_2022/jjupb7t/ | false | 2 |
t1_jjuolmy | It's probably cheaper and better two used 3090? | 2 | 0 | 2023-05-12T09:18:17 | reddiling | false | null | 0 | jjuolmy | false | /r/LocalLLaMA/comments/13f8ggs/will_ddr5_ram_make_running_llms_on_cpu_more/jjuolmy/ | false | 2 |
t1_jjuokmi | Converting models is your new job. | 3 | 0 | 2023-05-12T09:17:54 | ambient_temp_xeno | false | null | 0 | jjuokmi | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjuokmi/ | false | 3 |
t1_jjuoet8 | Hit the nail on the head there. But in the long run, we will want to be able to limit these models outputs to some degree. As the harms are realized, it will testify the amount of limitation required. | 2 | 0 | 2023-05-12T09:15:37 | sly0bvio | false | null | 0 | jjuoet8 | false | /r/LocalLLaMA/comments/13c6ukt/the_creator_of_an_uncensored_local_llm_posted/jjuoet8/ | false | 2 |
t1_jjunluz | My house gets 100% of its energy from wind? | 1 | 0 | 2023-05-12T09:04:31 | skztr | false | null | 0 | jjunluz | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjunluz/ | false | 1 |
t1_jjuneo6 | gpt4-x-vicuna-13b-5q\_1 gives very good results for me via llama\_cpp\[\_python\] as of 2023/05/12. | 1 | 0 | 2023-05-12T09:01:45 | spiritdude | false | 2023-05-12T09:30:19 | 0 | jjuneo6 | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjuneo6/ | false | 1 |
t1_jjun6lv | IDK.
Best cost / performance modern consumer GPU is probably used 3090.
For current/near generation series maybe see what upcoming 4090 refresh is like if they have a bigger VRAM option the 4090 is obviously great but still too low VRAM for LLMs even 65B level which is pretty modest compared to the ~175B parameter lev... | 7 | 0 | 2023-05-12T08:58:34 | Calcidiol | false | null | 0 | jjun6lv | false | /r/LocalLLaMA/comments/13f5gwn/home_llm_hardware_suggestions/jjun6lv/ | false | 7 |
t1_jjun5qp | Just checked with GPU-Z. There is a short spike at the beginning of generation, but overall they stay at around \~80% (270W). | 2 | 0 | 2023-05-12T08:58:15 | VertexMachine | false | null | 0 | jjun5qp | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjun5qp/ | false | 2 |
t1_jjumqfm | didn't the ticket also say this was a "temporary" incompatibility, or am I thinking of something else? | 1 | 0 | 2023-05-12T08:52:21 | skztr | false | null | 0 | jjumqfm | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjumqfm/ | false | 1 |
t1_jjumm08 | For me it usually responds fine with just general requests or orders, even without the template. | 1 | 0 | 2023-05-12T08:50:39 | ilikenwf | false | null | 0 | jjumm08 | false | /r/LocalLLaMA/comments/13dem7j/wizardlm13buncensored/jjumm08/ | false | 1 |
t1_jjumf6p | > 4 bit
The docs have a guide, I can run the 4bit wizard uncensored without trouble. It's much smarter than other models, but the fastest for me so far is cuda enabled with the rwkv models.
This is on an old 4790k 32GB system with a 1080ti 11gb:
BlinkDL 4 7b:
12.14 tokens/s
4 bit wizardlm 13b uncensored:
A modest ... | 1 | 0 | 2023-05-12T08:48:01 | ilikenwf | false | null | 0 | jjumf6p | false | /r/LocalLLaMA/comments/13dem7j/wizardlm13buncensored/jjumf6p/ | false | 1 |
t1_jjulr63 | To be fair it's easier til everyone is up to date, to run the older commit of llama. | 1 | 0 | 2023-05-12T08:38:33 | ilikenwf | false | null | 0 | jjulr63 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjulr63/ | false | 1 |
t1_jjul9ld | [https://huggingface.co/CarperAI/pythia-6.9b-deduped-4k](https://huggingface.co/CarperAI/pythia-6.9b-deduped-4k)
or
[https://huggingface.co/EleutherAI/pythia-6.9b-deduped](https://huggingface.co/EleutherAI/pythia-6.9b-deduped)
With such good hardware it should run above ones or even 13b ones, which are superior... | 0 | 0 | 2023-05-12T08:31:44 | PuchaczRolny | false | null | 0 | jjul9ld | false | /r/LocalLLaMA/comments/13fc241/hardware_for_llm/jjul9ld/ | false | 0 |
t1_jjul509 | Alright thanks, this is something that I must test. Still new to training and quantized formats. | 1 | 0 | 2023-05-12T08:29:55 | jumperabg | false | null | 0 | jjul509 | false | /r/LocalLLaMA/comments/13f3pfv/ggml_q4_and_q5_formats_have_changed_dont_waste/jjul509/ | false | 1 |
t1_jjul0js | Does llama.cpp support GPU? Or all of your tests were with CPU + RAM? Also how many tokens per sec did you get with wizard-vicuna-13B.ggml.q4\_0 ? | 7 | 0 | 2023-05-12T08:28:11 | jumperabg | false | null | 0 | jjul0js | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjul0js/ | false | 7 |
t1_jjukmik | coding and prompting capabilities would be nice | 6 | 0 | 2023-05-12T08:22:49 | MagicStevie | false | null | 0 | jjukmik | false | /r/LocalLLaMA/comments/13fb458/comparison_of_some_locally_runnable_llms/jjukmik/ | false | 6 |
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