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_jj7u5n9 | There is definitely something complex in openAi's models and the way they generate. For example, chatgpt sometimes corrects its words after they've already been written.
And the same goes for dalle 2, (from experience with stable diffusion) I guess it through additional prompts to user's input to generate a better ima... | 2 | 0 | 2023-05-07T15:09:54 | Famberlight | false | null | 0 | jj7u5n9 | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj7u5n9/ | false | 2 |
t1_jj7u126 | Letting generative agents be the AI behind NPCs is also the goal I want to achieve! Really glad to have someone talk about this. | 4 | 0 | 2023-05-07T15:08:57 | CORNMONSTER_2022 | false | null | 0 | jj7u126 | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7u126/ | false | 4 |
t1_jj7tub0 | Well, my idea was not doing "static code analysis", but asking the AI to insert tactical printfs, run code, and then fork from there. Static code analysis is mathematically impossible in general and can't be performed even by human beings, without mentally evaluating it. I think the proper way of using AI would be firs... | 1 | 0 | 2023-05-07T15:07:33 | NancyAurum | false | null | 0 | jj7tub0 | false | /r/LocalLLaMA/comments/13ani66/i_have_a_project_in_my_own_programming_language/jj7tub0/ | false | 1 |
t1_jj7tcso | Thanks! Just learn the model wizard-vicuna-13B, sounds very promising. Will update the post later! | 2 | 0 | 2023-05-07T15:03:59 | CORNMONSTER_2022 | false | null | 0 | jj7tcso | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7tcso/ | false | 2 |
t1_jj7t73c | Also, I think that GPT-4 itself has a lot of auto-injection of prompts and context reminders we don't even see.
I can't believe we are just working with a terminal with a cool UI, there is something else behind the curtains that makes it that better, not only parameters.
You can also test this assumption although it'... | 4 | 0 | 2023-05-07T15:02:47 | BetterProphet5585 | false | null | 0 | jj7t73c | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj7t73c/ | false | 4 |
t1_jj7t0ft | Can it output a ton of tokens at once? Like 20k? | 2 | 0 | 2023-05-07T15:01:24 | Loki--Laufeyson | true | null | 0 | jj7t0ft | false | /r/LocalLLaMA/comments/139xi9l/how_can_i_try_mpt7bstorywriter/jj7t0ft/ | false | 2 |
t1_jj7sepw | [https://huggingface.co/mufeed/ggml-starcoder/tree/main](https://huggingface.co/mufeed/ggml-starcoder/tree/main) | 1 | 0 | 2023-05-07T14:56:52 | hashms0a | false | null | 0 | jj7sepw | false | /r/LocalLLaMA/comments/1386o9f/model_for_just_coding/jj7sepw/ | false | 1 |
t1_jj7scd9 | Same error.
Do I need to use terminal in x86 mode? | 1 | 0 | 2023-05-07T14:56:21 | mmmm_frietjes | false | null | 0 | jj7scd9 | false | /r/LocalLLaMA/comments/139kfrb/how_to_install_wizardvicuna/jj7scd9/ | false | 1 |
t1_jj7r8rp | Do again the part of
`catai install Wizard-Vicuna-7B` | 1 | 0 | 2023-05-07T14:47:55 | ido-pluto | false | null | 0 | jj7r8rp | false | /r/LocalLLaMA/comments/139kfrb/how_to_install_wizardvicuna/jj7r8rp/ | false | 1 |
t1_jj7r5y2 | I think mostly people developing will boot into linux to do it. When it came to compiling I found using wsl2 on windows to run linux was so much easier. It took me ages to work out how to compile it on windows in visual studio. What a horrible mess that thing is for a new user. | 1 | 0 | 2023-05-07T14:47:18 | ambient_temp_xeno | false | null | 0 | jj7r5y2 | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jj7r5y2/ | false | 1 |
t1_jj7qx44 | Post updates 👌 | 1 | 0 | 2023-05-07T14:45:23 | Still_Map_8572 | false | null | 0 | jj7qx44 | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7qx44/ | false | 1 |
t1_jj7qs91 | I just did this:
npm install -g catai
catai install Wizard-Vicuna-7B
catai serve | 1 | 0 | 2023-05-07T14:44:22 | mmmm_frietjes | false | null | 0 | jj7qs91 | false | /r/LocalLLaMA/comments/139kfrb/how_to_install_wizardvicuna/jj7qs91/ | false | 1 |
t1_jj7qpd3 | This wasn't it.
~~This is supposedly it~~
[~~https://huggingface.co/mufeed/ggml-starcoder/blob/main/ggml-starcoder-q4\_2.bin~~](https://huggingface.co/mufeed/ggml-starcoder/blob/main/ggml-starcoder-q4_2.bin)
It's given me python code that even I know is hopeless, but maybe I'm using it wrong. | 3 | 0 | 2023-05-07T14:43:44 | ambient_temp_xeno | false | 2023-05-09T16:55:25 | 0 | jj7qpd3 | false | /r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jj7qpd3/ | false | 3 |
t1_jj7qn2o | Great suggestions! Thanks!
I totally agree with the idea "putting hard limits on the generation", and according to my experience, we may have to **breaking the reasoning process into multiple stages** when working with a model not very "smart". | 1 | 0 | 2023-05-07T14:43:15 | CORNMONSTER_2022 | false | null | 0 | jj7qn2o | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7qn2o/ | false | 1 |
t1_jj7q32o | Thanks, yeah I would hope that it's a misconfiguration which is way more likely in windows in my opinion. Some things are just less clear.
Do you know if people are generally doing development with containers? I like to get started learning all this and I'm finding that my windows environment is a shitshow. Docker see... | 1 | 0 | 2023-05-07T14:38:59 | Robonglious | false | null | 0 | jj7q32o | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jj7q32o/ | false | 1 |
t1_jj7pvkr | Really glad to have someone work on this together! | 1 | 0 | 2023-05-07T14:37:23 | CORNMONSTER_2022 | false | null | 0 | jj7pvkr | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7pvkr/ | false | 1 |
t1_jj7psp7 | When using a local LLM for tasks like these you need to configure your project from the ground up to deal with it.
That means not just fine tuning your prompts, but error checking your results.
Put hard limits on the generation in code, for example if you are asking the LLM to generate a set of tasks don't just ass... | 2 | 0 | 2023-05-07T14:36:46 | ElectroFried | false | null | 0 | jj7psp7 | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7psp7/ | false | 2 |
t1_jj7pj7m | Not yet, I just learned about this model, will try it :) | 2 | 0 | 2023-05-07T14:34:43 | CORNMONSTER_2022 | false | null | 0 | jj7pj7m | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7pj7m/ | false | 2 |
t1_jj7phtn | It /shouldn't/ be slower on windows but that's not always going to be what happens. If it was, someone would bring it up with llamacpp by now so who knows. I know the main guy uses a mac. | 2 | 0 | 2023-05-07T14:34:25 | ambient_temp_xeno | false | null | 0 | jj7phtn | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jj7phtn/ | false | 2 |
t1_jj7pa1j | Very cool — I have been looking into doing this as well =] I got kind of discouraged because the llama models are so dumb when they talk to each other~ hahaha.
Thanks for sparking my interest again, I’ll start with your code and see where it goes^^^ | 1 | 0 | 2023-05-07T14:32:44 | disarmyouwitha | false | null | 0 | jj7pa1j | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7pa1j/ | false | 1 |
t1_jj7p13y | Can you try with wizardlm 7b q5_1 or wizard-vicuna q5? I’ve been messing with BabyAgi and it’s decent | 2 | 0 | 2023-05-07T14:30:48 | Still_Map_8572 | false | null | 0 | jj7p13y | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7p13y/ | false | 2 |
t1_jj7ovlf | Do you have a GitHub? Seems interesting! | 2 | 0 | 2023-05-07T14:29:36 | disarmyouwitha | false | null | 0 | jj7ovlf | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7ovlf/ | false | 2 |
t1_jj7o8wf | Personally, I will often prototype something that I know an open-source alternative already exists for, because "writing software" is a process I go through in order to organize my thoughts and explore what it is that I actually want. ChatGPT has been particularly useful for this process, because it allows me to rapidl... | 1 | 0 | 2023-05-07T14:24:37 | skztr | false | null | 0 | jj7o8wf | false | /r/LocalLLaMA/comments/139meyn/why_dont_companies_collaborate_together_in/jj7o8wf/ | false | 1 |
t1_jj7o10c | I remember that post. It was a good post. Still anxiously anticipating your decision about whether or not to share those quantized models.
I've got [my own little project in the works](https://github.com/turboderp/exllama) going on, currently doing very fast 2048-token inference on 30B-128g on a single 4090 with lots... | 3 | 0 | 2023-05-07T14:22:55 | ReturningTarzan | false | null | 0 | jj7o10c | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj7o10c/ | false | 3 |
t1_jj7nr0q | OpenAI keeps plugging holes for "safety" as they are attempting to create a commercially viable product that wont guide people who use it in tasks like "how to kill my annoying neighbour and hide the body" that might cause them a spot of bother.
A side effect of this is that as they do, the model loses complexity. Or ... | 8 | 0 | 2023-05-07T14:20:46 | ElectroFried | false | null | 0 | jj7nr0q | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj7nr0q/ | false | 8 |
t1_jj7n3q7 | Link to paper mentioned: [https://arxiv.org/pdf/2304.03442.pdf](https://arxiv.org/pdf/2304.03442.pdf) | 3 | 0 | 2023-05-07T14:15:34 | qwerty44279 | false | null | 0 | jj7n3q7 | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7n3q7/ | false | 3 |
t1_jj7mmey | You might start here, they are using Ooba to load the model ( so you can load whatever model you want) and Ooba’s API with a wrapper for lang chain.
If this isn’t what you want it’s probably a good place to start~
https://www.reddit.com/r/LocalLLaMA/comments/13a5zwe/got_a_oobabooga_to_become_an_agent_using_lanchain/... | 1 | 0 | 2023-05-07T14:11:43 | disarmyouwitha | false | null | 0 | jj7mmey | false | /r/LocalLLaMA/comments/13anc9n/can_i_use_gpt4all_with_langchain_and_gptq_models/jj7mmey/ | false | 1 |
t1_jj7ma29 | The short answer is "whatever I want to, and RAM is absolutely never a concern". eg: I frequently hear people talk about certain programs being "memory hogs", and that's just never an issue for me, I frequently see people close one thing before opening another, and that's also never a requirement for me.
Personally, I... | 1 | 0 | 2023-05-07T14:08:58 | skztr | false | null | 0 | jj7ma29 | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj7ma29/ | false | 1 |
t1_jj7m5d4 | I'm a researcher currently working on implementing open LLMs for these agents for purposes beyond.
Langchain's "experimental" versions are highly tuned toward GPT-3.5/4. I disagree with the construction and choice of terminology within the code base, but its a fine place to start.
With some heavy-duty guardrails/pro... | 3 | 0 | 2023-05-07T14:07:57 | CasualtyOfCausality | false | null | 0 | jj7m5d4 | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7m5d4/ | false | 3 |
t1_jj7m0k6 | Catid has been doing tests.. llama can (kind of) fix Python if you let it run it.
https://github.com/catid/supercharger
( https://drive.google.com/drive/mobile/my-drive?usp=sheets_web&pli=1 )
**The llama models seem very bad at static code analysis.**
https://github.com/catid/supercharger/tree/main/airate
“
Not fu... | 1 | 0 | 2023-05-07T14:06:53 | disarmyouwitha | false | null | 0 | jj7m0k6 | false | /r/LocalLLaMA/comments/13ani66/i_have_a_project_in_my_own_programming_language/jj7m0k6/ | false | 1 |
t1_jj7lpyt | And the welcome message whenever you import the library. "Welcome to bitsandbytes..." No, stop it. | 8 | 0 | 2023-05-07T14:04:33 | ReturningTarzan | false | null | 0 | jj7lpyt | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7lpyt/ | false | 8 |
t1_jj7l8i4 | It's not just the gradient descent that's a problem, it's getting the gradients in the first place, without needing to store all of them with high enough precision to differentiate back through so many layers. I guess parameters could be adjusted stochastically somehow, in whole quantized steps, but not sure how you wo... | 4 | 0 | 2023-05-07T14:00:37 | ReturningTarzan | false | null | 0 | jj7l8i4 | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7l8i4/ | false | 4 |
t1_jj7kt07 | Here it is:
[https://huggingface.co/mufeed/ggml-starcoder/tree/main](https://huggingface.co/mufeed/ggml-starcoder/tree/main)\\ | 3 | 0 | 2023-05-07T13:57:05 | hashms0a | false | null | 0 | jj7kt07 | false | /r/LocalLLaMA/comments/1386o9f/model_for_just_coding/jj7kt07/ | false | 3 |
t1_jj7k998 | So what's the verdict on this, was the performance issue due to blas or windows? | 1 | 0 | 2023-05-07T13:52:32 | Robonglious | false | null | 0 | jj7k998 | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jj7k998/ | false | 1 |
t1_jj7k1l2 | [deleted] | 2 | 0 | 2023-05-07T13:50:46 | [deleted] | true | 2023-06-17T22:49:47 | 0 | jj7k1l2 | false | /r/LocalLLaMA/comments/1248183/i_am_currently_quantizing_llama65b_30b_and_13b/jj7k1l2/ | false | 2 |
t1_jj7j5sw | With a lower temp I get this about the red box. I don't know if this means it's completely aced it or if the question needs to be retired if a llama version asserts it's a standard test for theory of mind.
>Anna takes a ball and puts it in a red box, then leaves the room. Bob takes the ball out of the red box and puts... | 1 | 0 | 2023-05-07T13:43:10 | ambient_temp_xeno | false | 2023-05-07T17:36:07 | 0 | jj7j5sw | false | /r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jj7j5sw/ | false | 1 |
t1_jj7hzf2 | I almost fainted when looking at the scroll bar. But a lot is the comments section. 😁 | 1 | 0 | 2023-05-07T13:33:01 | RabbitHole32 | false | 2023-05-07T13:55:35 | 0 | jj7hzf2 | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jj7hzf2/ | false | 1 |
t1_jj7eln1 | maybe they mean no degradation vs full fine-tuning in 16-bit (followed by gptq) | 2 | 0 | 2023-05-07T13:02:09 | saintshing | false | null | 0 | jj7eln1 | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7eln1/ | false | 2 |
t1_jj7eknx | > So I don't mind breaking changes as long as the new stuff comes quickly and provides better performance and quality.
Same here. I wasn't complaining about it, just an observation. | 2 | 0 | 2023-05-07T13:01:53 | KerfuffleV2 | false | null | 0 | jj7eknx | false | /r/LocalLLaMA/comments/139yt87/notable_differences_between_q4_2_and_q5_1/jj7eknx/ | false | 2 |
t1_jj7ei10 | In what sense? | 2 | 0 | 2023-05-07T13:01:13 | Alwaysragestillplay | false | null | 0 | jj7ei10 | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj7ei10/ | false | 2 |
t1_jj7e7yl | Your results are impressive.
I would love to know what your pip freeze looks like, what repo you used to run the models and how you're running the scripts! Thank you very much! | 1 | 0 | 2023-05-07T12:58:34 | 2muchnet42day | false | null | 0 | jj7e7yl | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jj7e7yl/ | false | 1 |
t1_jj7dtd3 | That is fair. We definitely could (and probably should) have a repo now that is a python lib that simply provides an intuitive interface for everyone to develop apps that need model loading and inferencing. For now, though, using the oobabooga API is the better option, as no such lib (that I know of) exists. | 2 | 0 | 2023-05-07T12:54:43 | goatsdontlie | false | null | 0 | jj7dtd3 | false | /r/LocalLLaMA/comments/13a062v/introducing_agentooba_an_extension_for_oobaboogas/jj7dtd3/ | false | 2 |
t1_jj7dedu | Yep, we're living on the bleeding edge. Every day I wonder what's new and what's obsolete.
But even if it's hard to keep up, I'd rather have fast progress and much better stuff soon than wait long for minor changes. So I don't mind breaking changes as long as the new stuff comes quickly and provides better performance... | 2 | 0 | 2023-05-07T12:50:44 | WolframRavenwolf | false | null | 0 | jj7dedu | false | /r/LocalLLaMA/comments/139yt87/notable_differences_between_q4_2_and_q5_1/jj7dedu/ | false | 2 |
t1_jj7d8hg | Not working for me on Mac OS 🥹 | 1 | 0 | 2023-05-07T12:49:10 | DetectiveConfident | false | null | 0 | jj7d8hg | false | /r/LocalLLaMA/comments/139kfrb/how_to_install_wizardvicuna/jj7d8hg/ | false | 1 |
t1_jj7d5eo | > How can it be though?
I'm skeptical as well. They might have overstated their case for dramatic effect while the reality is more like "minimal degradation vs full fine-tuning in 16-bit".
They might not be using something lossy like quantization but instead be splitting up the work so only parts of the model need t... | 4 | 0 | 2023-05-07T12:48:20 | KerfuffleV2 | false | null | 0 | jj7d5eo | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7d5eo/ | false | 4 |
t1_jj7czgd | 64 GB | 2 | 0 | 2023-05-07T12:46:45 | WolframRavenwolf | false | null | 0 | jj7czgd | false | /r/LocalLLaMA/comments/139tjaa/13b_models_on_6gb_vram/jj7czgd/ | false | 2 |
t1_jj7cx44 | Get a used 3090. That is so much better over two 3060s (and mind you the 3060 is widely used for mining...) | 1 | 0 | 2023-05-07T12:46:06 | perlamer | false | null | 0 | jj7cx44 | false | /r/LocalLLaMA/comments/13a68z4/2x3060_in_sli/jj7cx44/ | false | 1 |
t1_jj7cv3t | > I just think most people did not pay attention to 4bit training existing at all.
Agree. I think the tloen repo with 8 bit training totally caught all the attention. | 3 | 0 | 2023-05-07T12:45:32 | 2muchnet42day | false | null | 0 | jj7cv3t | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7cv3t/ | false | 3 |
t1_jj7cr0v | just a joke. I think everyone has had issues with installing this dependency. | 2 | 0 | 2023-05-07T12:44:26 | rain5 | false | null | 0 | jj7cr0v | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7cr0v/ | false | 2 |
t1_jj7ckj8 | Also, 3060 don't support NVLINK, only 3090 and 3090Ti do. IMO you should go for a single 3090, same memory but less headaches. | 2 | 0 | 2023-05-07T12:42:39 | 2muchnet42day | false | null | 0 | jj7ckj8 | false | /r/LocalLLaMA/comments/13a68z4/2x3060_in_sli/jj7ckj8/ | false | 2 |
t1_jj7ciyc | Why | 5 | 0 | 2023-05-07T12:42:14 | PookaMacPhellimen | false | null | 0 | jj7ciyc | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7ciyc/ | false | 5 |
t1_jj7ccdd | Dettmers says 4 bit and higher parameters provided the nearest 8 bit configuration you can run has much lower parameters (which will he most instances) | 1 | 0 | 2023-05-07T12:40:29 | PookaMacPhellimen | false | null | 0 | jj7ccdd | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj7ccdd/ | false | 1 |
t1_jj7bylp | > amazing if true
How can it be though? How can you do slow (=good) gradient decent across a space of like 2^4 = 16 possible values? I think it's mindblowing enough that the inference can work with such a rough resolution. But how can you get that value if you can't inch there in baby steps? | 4 | 0 | 2023-05-07T12:36:43 | involviert | false | null | 0 | jj7bylp | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7bylp/ | false | 4 |
t1_jj7bnqs | Llama.cpp generation is much faster when saving the prompt ingestion stage to cache using the --session parameter. Give each prompt its own session name.
Also, WizardLM 7b (q5_1) is impressive and fast, give that a go (could be useful for when you're prompt-tuning). Compare results with other new fine tunes like TheBl... | 5 | 0 | 2023-05-07T12:33:43 | morph3v5 | false | 2023-05-07T12:40:24 | 0 | jj7bnqs | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj7bnqs/ | false | 5 |
t1_jj7avi9 | > author of bitsandbytes
FFFFFFFFUCK bitsandbytes | 1 | 1 | 2023-05-07T12:25:30 | rain5 | false | null | 0 | jj7avi9 | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7avi9/ | false | 1 |
t1_jj7an62 | What kind of things are you doing on your PC to be unable to *fathom* having less than 64 GB RAM?
Btw I worded it snarkily but I'm actually curious as yes, I think you got it correctly:
>"other people must have very different workflows to me"
For example if not for running these large .cpp models or building AOSP fr... | 4 | 0 | 2023-05-07T12:23:07 | ccelik97 | false | null | 0 | jj7an62 | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj7an62/ | false | 4 |
t1_jj7ahmp | Imo, there is literally no way to prevent the same degradation from occurring by going from 16bit precision to 4bit.
It's just that 4-bit is "good enough" for most people. And a 4bit model is better than no model.
So definitely will be interesting to see how a lora trained on 4bit GPTQ vs 4bit B&B holds up. I just ... | 7 | 0 | 2023-05-07T12:21:31 | a_beautiful_rhind | false | null | 0 | jj7ahmp | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj7ahmp/ | false | 7 |
t1_jj7a2fb | > If you were in a race and passed the person in second place, what place would you be in now?
If I just passed the #2 guy then that means he's behind me. #1 is still ahead of me so that makes me 2nd.
You are participating in a race. You overtake the second person, what position are you in ?
### Response:
If you a... | 1 | 0 | 2023-05-07T12:16:56 | ambient_temp_xeno | false | 2023-05-07T12:22:34 | 0 | jj7a2fb | false | /r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jj7a2fb/ | false | 1 |
t1_jj79wwi | Can't help you with the oobabooga stuff but that does seem to be using llama.cpp behind the scenes. It's very likely that your issue is that you don't have enough memory to run it without swapping.
From the output you listed running the model requires about 12GB RAM. You could try arranging to run llama.cpp with `--ml... | 6 | 0 | 2023-05-07T12:15:17 | KerfuffleV2 | false | null | 0 | jj79wwi | false | /r/LocalLLaMA/comments/13akxx7/speed_up_reply_generation_on_apple_m2_pro/jj79wwi/ | false | 6 |
t1_jj79f5x | Living in the age of clickbait. I have lowered my expectations. | 4 | 0 | 2023-05-07T12:09:49 | ambient_temp_xeno | false | null | 0 | jj79f5x | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj79f5x/ | false | 4 |
t1_jj79djx | The idea of dropping Q4_2 support was recently mentioned by the big cheese himself (but I don't know how likely it is): https://github.com/ggerganov/llama.cpp/pull/1305#issuecomment-1535268949
I guess nothing is really future proof though at this point. | 2 | 0 | 2023-05-07T12:09:21 | KerfuffleV2 | false | null | 0 | jj79djx | false | /r/LocalLLaMA/comments/139yt87/notable_differences_between_q4_2_and_q5_1/jj79djx/ | false | 2 |
t1_jj795we | Yep, koboldcpp has several really helpful performance optimizations you can enable using command-line options. I generally use `--highpriority --smartcontext --useclblast` and am looking into the new `--usemirostat` (have to evaluate that further). | 3 | 0 | 2023-05-07T12:07:04 | WolframRavenwolf | false | null | 0 | jj795we | false | /r/LocalLLaMA/comments/139tjaa/13b_models_on_6gb_vram/jj795we/ | false | 3 |
t1_jj795nw | Not sure if that's an answer to my question.
But answering you question: I have no clue. I know next to nothing about finetuning etc. | 2 | 0 | 2023-05-07T12:07:00 | rerri | false | null | 0 | jj795nw | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj795nw/ | false | 2 |
t1_jj791eu | Yea.. not complaining about more ways to do stuff. But it's also unfair to say that this is brand new. | 2 | 0 | 2023-05-07T12:05:40 | a_beautiful_rhind | false | null | 0 | jj791eu | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj791eu/ | false | 2 |
t1_jj78ykc | I have an NVIDIA GeForce RTX 2070 Super (8 GB VRAM) and Intel Core i7-10750H CPU @ 2.60GHz. Upgraded my RAM to 64 GB. | 1 | 0 | 2023-05-07T12:04:48 | WolframRavenwolf | false | null | 0 | jj78ykc | false | /r/LocalLLaMA/comments/139tjaa/13b_models_on_6gb_vram/jj78ykc/ | false | 1 |
t1_jj78vne | Then how will this not? | 4 | 0 | 2023-05-07T12:03:53 | a_beautiful_rhind | false | null | 0 | jj78vne | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj78vne/ | false | 4 |
t1_jj78rc9 | Still, I found out about gpt4chan by Googling "gpt4" out of curiosity long before it was even a thing. Genius SEO there even if it wasn't intentional. | 2 | 0 | 2023-05-07T12:02:34 | ragnarkar | false | 2023-05-07T12:17:03 | 0 | jj78rc9 | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj78rc9/ | false | 2 |
t1_jj78e1x | Doesn't GPTQ for LLaMa introduce degradation vs full finetuning in 16-bit? | 3 | 0 | 2023-05-07T11:58:28 | rerri | false | null | 0 | jj78e1x | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj78e1x/ | false | 3 |
t1_jj783i3 | Well, the first is the GPT 'for' all. And then some models have been trained on GPT4-generated data.
I'd agree though that it is ugly to see so many GPT4s when we don't see 40-50% resemblence though | 2 | 0 | 2023-05-07T11:55:08 | perlamer | false | null | 0 | jj783i3 | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj783i3/ | false | 2 |
t1_jj77pvk | >I'd just like to interject for a moment. What you're referring to as 4Chan, is in fact, GPT/4Chan, or as I've recently taken to calling it, GPT plus 4Chan. 4Chan by itself cannot be considered *as an AI language model*, but rather another free component of a fully functioning GPT system made useful by the GPT language... | 4 | 0 | 2023-05-07T11:50:57 | ccelik97 | false | null | 0 | jj77pvk | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj77pvk/ | false | 4 |
t1_jj77o8c | Perfectly summed up, and I agree completely.
With 7B, use Q5_1. With 13B and above, Q4_2 is a great compromise between speed and quality if you don't want to go with the slower, resource-heavier Q5_1.
Q4_0 is only relevant for compatibility and should be avoided when possible. | 1 | 0 | 2023-05-07T11:50:28 | WolframRavenwolf | false | null | 0 | jj77o8c | false | /r/LocalLLaMA/comments/139yt87/notable_differences_between_q4_2_and_q5_1/jj77o8c/ | false | 1 |
t1_jj77bvf | [deleted] | 1 | 0 | 2023-05-07T11:46:32 | [deleted] | true | null | 0 | jj77bvf | false | /r/LocalLLaMA/comments/1381usi/laptop_good_enough_for_30b/jj77bvf/ | false | 1 |
t1_jj77bcp | Don't know why you got downvoted, but you are right! Let's see what this new change brings to the table, I'm sure there will be cool stuff happening! | 4 | 0 | 2023-05-07T11:46:23 | 2muchnet42day | false | null | 0 | jj77bcp | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj77bcp/ | false | 4 |
t1_jj777un | I've been working on something similar (I let Vicuna control NPCs in an open world RPG in Godot) and while the results are honestly mixed (and performance is horrible) it still feels very promising.
Interesting to see how many of these projects have sparked up.
If you'd like to bounce ideas around together, shoot me ... | 9 | 0 | 2023-05-07T11:45:17 | Calandiel | false | null | 0 | jj777un | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj777un/ | false | 9 |
t1_jj777fu | Also GPT4All can be read as "GPT for all" so that's a neat little pun as well. | 1 | 0 | 2023-05-07T11:45:09 | ccelik97 | false | null | 0 | jj777fu | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj777fu/ | false | 1 |
t1_jj76ybi | How much ram? | 1 | 0 | 2023-05-07T11:42:11 | tuxedo0 | false | null | 0 | jj76ybi | false | /r/LocalLLaMA/comments/139tjaa/13b_models_on_6gb_vram/jj76ybi/ | false | 1 |
t1_jj76kl1 | Search how to run it on "metal", it's the m2 gpu. If you want to run it on CPU, set the thread higher as I guess it default to 1 thread. | 2 | 0 | 2023-05-07T11:37:39 | hapliniste | false | null | 0 | jj76kl1 | false | /r/LocalLLaMA/comments/13akxx7/speed_up_reply_generation_on_apple_m2_pro/jj76kl1/ | false | 2 |
t1_jj76gcx | Lol.
​
https://preview.redd.it/jac66njftfya1.png?width=1854&format=png&auto=webp&v=enabled&s=ab7c92f41b7da1cb0bc7560a29c89780d9d0a8b6
llama\_print\_timings: load time = 24079.93 ms
llama\_print\_timings: sample time = 121.55 ms / 130 runs ( 0.94 ms per run)
llama\_print\_timings: prompt... | 1 | 0 | 2023-05-07T11:36:14 | VertigoOne1 | false | 2023-05-07T11:39:26 | 0 | jj76gcx | false | /r/LocalLLaMA/comments/1381usi/laptop_good_enough_for_30b/jj76gcx/ | false | 1 |
t1_jj75roo | Apologies, i was away.
cpuinfo says it is a
11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz.
I run Ubuntu 22. Python 3.10
The GPU on this thing is "useless" for AI other than maybe a small whisper model.
NVIDIA T500 - 2Gb RAM.gah | 1 | 0 | 2023-05-07T11:27:54 | VertigoOne1 | false | null | 0 | jj75roo | false | /r/LocalLLaMA/comments/1381usi/laptop_good_enough_for_30b/jj75roo/ | false | 1 |
t1_jj75jkd | [deleted] | 1 | 0 | 2023-05-07T11:25:08 | [deleted] | true | null | 0 | jj75jkd | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jj75jkd/ | false | 1 |
t1_jj75dd1 | [deleted] | 1 | 0 | 2023-05-07T11:23:02 | [deleted] | true | null | 0 | jj75dd1 | false | /r/LocalLLaMA/comments/139iyl2/how_to_improve_the_quality_of_large_language/jj75dd1/ | false | 1 |
t1_jj74zhj | Not sure what to make of this. Does it really understand, or do I just want it to?
>Anna takes a ball and puts it in a red box, then leaves the room. Bob takes the ball out of the red box and puts it into the yellow box, then leaves the room. Anna returns to the room. Where will she look for the ball?
She’ll look in ... | 1 | 0 | 2023-05-07T11:18:15 | ambient_temp_xeno | false | null | 0 | jj74zhj | false | /r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jj74zhj/ | false | 1 |
t1_jj74wz0 | https://huggingface.co/askmyteapot/GPT4-x-AlpacaDente2-30b-4bit did this.
One notable individual who has earned numerous Nobel Prizes is Marie
Curie. Born Maria Skłodowska in Poland in 1867, she became known
throughout history as a pioneer in both physics and chemistry. Her
groundbreaking research r... | 2 | 0 | 2023-05-07T11:17:22 | a_beautiful_rhind | false | null | 0 | jj74wz0 | false | /r/LocalLLaMA/comments/13a4u5r/people_who_won_multiple_nobel_prizes_seems_to_be/jj74wz0/ | false | 2 |
t1_jj74fez | https://huggingface.co/askmyteapot/GPT4-x-AlpacaDente2-30b-4bit
Got marie curie right but said albert einstein and teddy roosevelt, lmao. | 1 | 0 | 2023-05-07T11:11:14 | a_beautiful_rhind | false | null | 0 | jj74fez | false | /r/LocalLLaMA/comments/13a4u5r/people_who_won_multiple_nobel_prizes_seems_to_be/jj74fez/ | false | 1 |
t1_jj73mh4 | 30b model, even in int4, is worth it.. vs 8-bit 13b it is close, but a 7b and an int4 13b is nothing. It will come out in subtle ways, but it WILL come out once you use both. | 3 | 0 | 2023-05-07T11:00:52 | a_beautiful_rhind | false | null | 0 | jj73mh4 | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj73mh4/ | false | 3 |
t1_jj73gdh | Ah, I figured out! I forgot I also had UFW enabled and was just looking at OpenSnitch's logs. | 1 | 0 | 2023-05-07T10:58:36 | TiagoTiagoT | false | null | 0 | jj73gdh | false | /r/LocalLLaMA/comments/138f632/open_source_agents_the_original_was_just_released/jj73gdh/ | false | 1 |
t1_jj737hg | > allows you to finetune 30B/65B LLaMA models on a single 24/48 GB GPU
JFC! Training a LoRa for 24h on an A40 for ~20$ !!! | 3 | 0 | 2023-05-07T10:55:17 | Disastrous_Elk_6375 | false | null | 0 | jj737hg | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj737hg/ | false | 3 |
t1_jj732y5 | >It'll be tough on anything with less than 40GB of RAM, though.
what's 'tough' in that regard? Does it load on 40GB ? is it just slow? | 1 | 0 | 2023-05-07T10:53:36 | chris_myzel | false | null | 0 | jj732y5 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jj732y5/ | false | 1 |
t1_jj72hib | This is already the case right now: https://github.com/johnsmith0031/alpaca_lora_4bit | 9 | 0 | 2023-05-07T10:45:39 | a_beautiful_rhind | false | null | 0 | jj72hib | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj72hib/ | false | 9 |
t1_jj72g6j | Will it be faster than GPTQ? Will it not require converting? | 3 | 0 | 2023-05-07T10:45:08 | a_beautiful_rhind | false | null | 0 | jj72g6j | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj72g6j/ | false | 3 |
t1_jj72elq | I like that series of models and I don't like openAI products for the moralizing. It's just the dataset, chill. | 2 | 0 | 2023-05-07T10:44:32 | a_beautiful_rhind | false | null | 0 | jj72elq | false | /r/LocalLLaMA/comments/13a8gpi/people_need_to_stop_naming_models_gpt4_anything/jj72elq/ | false | 2 |
t1_jj729gm | Open source llms are still not suitable for agent environment. They just fail at providing reasonable outputs. More finetuning will be necessary | 5 | 0 | 2023-05-07T10:42:30 | 2muchnet42day | false | null | 0 | jj729gm | false | /r/LocalLLaMA/comments/13af6yp/generative_agents_with_opensourced_large/jj729gm/ | false | 5 |
t1_jj724qo | Hello, does this quick preset names mean anything? Like pro writer preset will always answer in certain style.
And how properly use chat/story/adventure/instruct mode? | 1 | 0 | 2023-05-07T10:40:41 | Azuregas | false | null | 0 | jj724qo | false | /r/LocalLLaMA/comments/12cfnqk/koboldcpp_combining_all_the_various_ggmlcpp_cpu/jj724qo/ | false | 1 |
t1_jj723vc | tl:dr: RAM is cheap, buy more.
I cannot fathom why anyone would have less than 64gb of cpu ram. I've long-since accepted "other people must have very different workflows to me", but I haven't been able to get anything done on less than 64gb without running 90% of everything on external servers in nearly a decade.
VR... | 4 | 0 | 2023-05-07T10:40:21 | skztr | false | null | 0 | jj723vc | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj723vc/ | false | 4 |
t1_jj720lj | > allows you to finetune 30B/65B LLaMA models on a single 24/48 GB GPU (no degradation vs full fine-tuning in 16-bit)
That's amazing if true. In addition to training 30B/65B models on single GPUs it seems like this is something that would also make finetuning much large models practical. | 10 | 0 | 2023-05-07T10:39:07 | KerfuffleV2 | false | null | 0 | jj720lj | false | /r/LocalLLaMA/comments/13ahz60/bitsandbytes_4bit_finetuning_30b65b_llama_models/jj720lj/ | false | 10 |
t1_jj71v4l | In general, try to fit as many parameters in your VRAM as possible. Quantization reduces quality, but more parameters increase quality significantly.
If you want a perplexity and size comparison, take a look at my quantization post: https://old.reddit.com/r/LocalLLaMA/comments/1248183/i_am_currently_quantizing_llama65... | 14 | 0 | 2023-05-07T10:37:01 | Blacky372 | false | 2023-05-07T15:26:54 | 0 | jj71v4l | false | /r/LocalLLaMA/comments/13aidav/is_running_quantized_but_bigger_model_worth_it/jj71v4l/ | false | 14 |
t1_jj71ck5 | Thank you so much. This is the first time I've ever seen this succinctly written out.
Can you explain the "why" of what these numbers mean? (ie: why is higher int quantization "better", why is the other number "better" when bigger?) | 1 | 0 | 2023-05-07T10:29:40 | skztr | false | null | 0 | jj71ck5 | false | /r/LocalLLaMA/comments/13acek6/what_do_the_files_with_pytorch_modelxofybin_mean/jj71ck5/ | false | 1 |
t1_jj70xfy | WSL
13700KF + 64 Gb DDR5
Cuda 12.0 stock version, pytorch is just regular 2.0.1 version, but I've build it from source (there wasn't builds ready available at the moment, but now they should be).
It seems that you need at least Cuda 11.8 or 12.x to fully utilize RTX4090. There is not much load on the CPU in fact. | 1 | 0 | 2023-05-07T10:23:28 | Ill_Initiative_8793 | false | null | 0 | jj70xfy | false | /r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jj70xfy/ | false | 1 |
t1_jj70lks | I've been playing around with raw LLaMA 65b and a sort of 'you like doing riddles and word games' prompt/other prompts. Raw LLaMA with just an AI assitant prompt gets the red box question right, and explains why. Which means the alpaca lora 65b has been made LLaMA less useful in that example.
Other ones like the broth... | 1 | 0 | 2023-05-07T10:18:45 | ambient_temp_xeno | false | null | 0 | jj70lks | false | /r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jj70lks/ | false | 1 |
t1_jj70999 | I was going to but I bought a server.. it was cheaper to not have to fabricate cooling or buy consumer power supplies.
But you can use a mining case and go that route for the same effect.
I paid less than 1/2 of what he did and can add 6 more GPUs. | 1 | 0 | 2023-05-07T10:13:43 | a_beautiful_rhind | false | null | 0 | jj70999 | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jj70999/ | false | 1 |
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