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t1_jhbq1xa | Gotcha, thanks for the helpful response!
I only have a 1660ti so I'm probably not the guy to convert this model lol, but this info does clear up a lot of confusion I've had when encountering weights on HF 👍 | 1 | 0 | 2023-04-22T22:38:08 | BootEven8409 | false | null | 0 | jhbq1xa | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhbq1xa/ | false | 1 |
t1_jhbph8f | Yes -- you need to not only run a conversion script but you must also have the original llama weights in the original format first since these are xor weights which require the original weights to create a usable end product (sorry, I can't explain the technical details, I just know the requirements and end result!).
... | 6 | 0 | 2023-04-22T22:33:27 | spanielrassler | false | null | 0 | jhbph8f | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhbph8f/ | false | 6 |
t1_jhbpeli | If you look at the models, they seem to be pretty much specialized in programming, which is something that you can train any model to do, provided you can train them.
" The data consists of 119.2B tokens and includes C, C++, Go, Java, JavaScript, and Python. "
Not sure if any other model would have as much trai... | 1 | 0 | 2023-04-22T22:32:51 | ChobPT | false | null | 0 | jhbpeli | false | /r/LocalLLaMA/comments/12v7ypv/llm_specialized_in_programming/jhbpeli/ | false | 1 |
t1_jhbp6us | can it fit in 4 Gb ram ? | 1 | 0 | 2023-04-22T22:31:05 | Killerx7c | false | null | 0 | jhbp6us | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jhbp6us/ | false | 1 |
t1_jhbozzt | How are you getting 18 tokens/sec on a 3060?
I'm running Alpaca 13b 4bit on a 3080 and getting 6 tokens/sec | 6 | 0 | 2023-04-22T22:29:32 | iwaswrongonce | false | null | 0 | jhbozzt | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbozzt/ | false | 6 |
t1_jhbovwm | Could you run the gpt-x alpaca 13b native in 8-bit (i.e., using the original version)? I'm curious if the perplexity is a lot better than the 4-bit version. I've seen people either love or hate this model and I wonder if its because the 4-bit is significantly worse. I've only used the original in 8-bit and think its pr... | 2 | 0 | 2023-04-22T22:28:36 | jd_3d | false | null | 0 | jhbovwm | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhbovwm/ | false | 2 |
t1_jhbo7t6 | Sorry I'm new to working with these llama models, and I have a quick relevant question: am I correct that whenever I see a model split up into multiple pytorch files like this on hugging face, I would need to run a conversion script from the llama.cpp GitHub to convert it for use with llamacpp?
Edit: cus I've seen thi... | 4 | 0 | 2023-04-22T22:23:08 | BootEven8409 | false | null | 0 | jhbo7t6 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhbo7t6/ | false | 4 |
t1_jhbkkrx | Are you using a CPU or GPU? I thought you were using your CPU. But now you are talking about VRAM which is your GPU. | 1 | 0 | 2023-04-22T21:54:30 | fallingdowndizzyvr | false | null | 0 | jhbkkrx | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbkkrx/ | false | 1 |
t1_jhbkf2f | BTW, this is a different model than [the one put out by Black Engineer](https://huggingface.co/Black-Engineer/oasst-llama30b-ggml-q4) a little while ago and possibly higher quality (since it's coming directly from the source and they prob have more resources to dedicate). No disrespect to Black Engineer or anything of ... | 9 | 0 | 2023-04-22T21:53:21 | spanielrassler | false | null | 0 | jhbkf2f | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhbkf2f/ | false | 9 |
t1_jhbk560 | Ah yeah I think I do have swap enabled then. It's possible I have finder or something small running in the background but again my goal is to run something more powerful than the smallest version of llama, ideally a 20B or 30B model. For something like that, would 16GB VRAM be enough? | 1 | 0 | 2023-04-22T21:51:21 | rwaterbender | false | null | 0 | jhbk560 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbk560/ | false | 1 |
t1_jhbjncm | 8GB is tight. That's how much I allocate to my VM to run a 7B model so it should fit, but that VM is doing nothing but running the model. Are you running anything else on your Mac? Even a browser? You're using a 4 bit model right?
Swapping is when you don't have enough RAM and it has to swap memory pages to disk. That... | 1 | 0 | 2023-04-22T21:47:38 | fallingdowndizzyvr | false | null | 0 | jhbjncm | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbjncm/ | false | 1 |
t1_jhbjloc | One of these days if I find the time I’d like to dig into the mechanics a little. It’s so interesting | 1 | 0 | 2023-04-22T21:47:17 | 0mz | false | null | 0 | jhbjloc | false | /r/LocalLLaMA/comments/12o1nrl/why_are_llms_read_only/jhbjloc/ | false | 1 |
t1_jhbhog1 | 8GB, i5, not sure what swapping is. Honestly though I am not really trying to run llama, I want to run some of the other models like codegen which idk how they match up b/c I don't think they are quantized. The goal is to do fine-tuning but I am pretty sure that is not viable on my machine | 1 | 0 | 2023-04-22T21:32:56 | rwaterbender | false | null | 0 | jhbhog1 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbhog1/ | false | 1 |
t1_jhbgxc9 | How much memory do you have? Are you swapping? Try llama.cpp. I get around 3-4 tokens/second under a VM on my modest 2019 era laptop i5. It's like watching someone type. | 1 | 0 | 2023-04-22T21:27:27 | fallingdowndizzyvr | false | null | 0 | jhbgxc9 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbgxc9/ | false | 1 |
t1_jhbgjhv | I was running alpaca.cpp using the 4bit quantized version and it was really, really slow. Would also hang at times. TBF I am the kind of person who has 60 chrome tabs open but even closing them it didn't really help | 1 | 0 | 2023-04-22T21:24:43 | rwaterbender | false | null | 0 | jhbgjhv | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbgjhv/ | false | 1 |
t1_jhbgdhq | Yes I bunchmark them. I develop algorithms for both CPU and GPU clusters and yes for the right problems, it can literally do 10k floating point operations in one clock cycle, at single precision. For a CPU even if you go down to half precision and write custom instructions to take advantage of that, 16 operations is... | 4 | 0 | 2023-04-22T21:23:32 | Faintly_glowing_fish | false | null | 0 | jhbgdhq | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbgdhq/ | false | 4 |
t1_jhbf5qx | So with these fine tunes, they're just rescrambling the models, adding some stuff and hoping good stuff doesn't disappear? Just throwing dice? | 1 | 0 | 2023-04-22T21:14:47 | mulletarian | false | 2023-04-22T21:56:42 | 0 | jhbf5qx | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhbf5qx/ | false | 1 |
t1_jhbf4x6 | You should easily be able to run a 6B model on a 2020 Intel Mac. What are you doing? I run 7B models in a virtual machine on this 2019 Intel laptop i'm typing on. It won't break speed records but it's more than acceptable. It outputs words faster than I'm typing them right now. I type pretty fast. | 1 | 0 | 2023-04-22T21:14:36 | fallingdowndizzyvr | false | null | 0 | jhbf4x6 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbf4x6/ | false | 1 |
t1_jhbekyz | > For pure math (models) 64 CPU cores is actually slower. It will however much faster as a web server which is what it is for. At 64 core threadripper has 64 cores. An 3090 has more than 10k cores.
It's a false equivalency to imply that a CPU core is the same as a streaming core. They aren't the same. A 3090 is not 10... | 2 | 0 | 2023-04-22T21:10:17 | fallingdowndizzyvr | false | null | 0 | jhbekyz | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbekyz/ | false | 2 |
t1_jhbe57k | Oh yes. That is hilarious and you can see the progressive downward spiral of question quality lol | 2 | 0 | 2023-04-22T21:06:55 | Faintly_glowing_fish | false | null | 0 | jhbe57k | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhbe57k/ | false | 2 |
t1_jhbe0qw | Using the ###Human: prompt format for vicuna helps a ton, thank you! | 3 | 0 | 2023-04-22T21:06:03 | KerbalCrashTestDummy | false | null | 0 | jhbe0qw | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhbe0qw/ | false | 3 |
t1_jhbdwf5 | I just tried adding some example exchanges, and that does help. Also needed to add the custom stop strings, or it starts asking its own questions. Thank you! | 2 | 0 | 2023-04-22T21:05:14 | KerbalCrashTestDummy | false | null | 0 | jhbdwf5 | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhbdwf5/ | false | 2 |
t1_jhbd1yx | There are a few such subreddits that I've found:
/r/localai
r/LocalLLM
r/LocalGPT
r/Oobabooga
I'm sure there are more. | 2 | 0 | 2023-04-22T20:59:09 | Smallpaul | false | null | 0 | jhbd1yx | false | /r/LocalLLaMA/comments/12t1zze/spreadsheet_describing_the_entire_llm_universe/jhbd1yx/ | false | 2 |
t1_jhbbtac | RunPod is also very cheap | 1 | 0 | 2023-04-22T20:50:48 | Luis15pt | false | null | 0 | jhbbtac | false | /r/LocalLLaMA/comments/1281nk5/best_online_cloud_gpu_provider_for_32gb_vram_to/jhbbtac/ | false | 1 |
t1_jhbaiju | Well, at a given level of neural network efficiency (basically the current state of the technology), you can't get something for nothing. You can improve accuracy, but you will lose creativity. You can improve the "human-ness" of the responses, but it will start to lose "facts". You can retune for both, but the comp... | 1 | 0 | 2023-04-22T20:41:44 | candre23 | false | null | 0 | jhbaiju | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhbaiju/ | false | 1 |
t1_jhbai2g | Yup. I've seen papers that just by deduplicating datasets you can have same training result 2x faster and cheaper. Lots of low-hanging fruits. | 1 | 0 | 2023-04-22T20:41:38 | BalorNG | false | null | 0 | jhbai2g | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhbai2g/ | false | 1 |
t1_jhbafa1 | For pure math (models) 64 CPU cores is actually slower. It will however much faster as a web server which is what it is for. At 64 core threadripper has 64 cores. An 3090 has more than 10k cores. Even if you count SIMD operations (which is very limited coz it only has 16 registers that can do 128bit wide) it can d... | 2 | 0 | 2023-04-22T20:41:03 | Faintly_glowing_fish | false | null | 0 | jhbafa1 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhbafa1/ | false | 2 |
t1_jhba92h | Man, the optimization possibilities must be huge | 1 | 0 | 2023-04-22T20:39:45 | mulletarian | false | null | 0 | jhba92h | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhba92h/ | false | 1 |
t1_jhb9d06 | Both died early, I’d say he emulated that key bit pretty accurately | 1 | 0 | 2023-04-22T20:33:11 | SRSchiavone | false | null | 0 | jhb9d06 | false | /r/LocalLLaMA/comments/12uxeu4/was_messing_around_with_a_jfkbot_i_made_and_hes_a/jhb9d06/ | false | 1 |
t1_jhb9cxk | I believe "koboldcpp" is the CPU-only version. I'm using the 0cc4m branch, running on my 12gb 3060. Results are certainly not instantaneous, but are fast enough that it's not annoying. About 8t/s. | 2 | 0 | 2023-04-22T20:33:10 | candre23 | false | null | 0 | jhb9cxk | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jhb9cxk/ | false | 2 |
t1_jhb9c9o | We have no way of knowing which of those weights do what, even. At least not without putting a team of highly trained machine learning experts to work...
And yea, there is a lot of junk to be sure.
Dataset pruning is a hard work! They span terabytes! | 2 | 0 | 2023-04-22T20:33:02 | BalorNG | false | null | 0 | jhb9c9o | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhb9c9o/ | false | 2 |
t1_jhb8ubf | And we have no way of choosing what to forget? Must be a lot of useless information in there. | 1 | 0 | 2023-04-22T20:29:12 | mulletarian | false | null | 0 | jhb8ubf | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhb8ubf/ | false | 1 |
t1_jhb8eox | Related question: I have an intel mac, 2020. It can barely run even like llama 6b. I want to be able to run 16gb models, maybe even 30...would an RTX3080Ti (16gb vram) be enough for either of these? W i9 processors | 1 | 0 | 2023-04-22T20:26:01 | rwaterbender | false | null | 0 | jhb8eox | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb8eox/ | false | 1 |
t1_jhb88c9 | Is it slower? That should be about 15 times faster than a 4 core CPU which would make it faster than consumer level GPUs.
Also, don't forget you can have a lot of RAM in a machine like that, for example 128GB. Much more than you can short of high end professional "GPU" cards like the A100 and H100. Those would cost yo... | 1 | 0 | 2023-04-22T20:24:43 | fallingdowndizzyvr | false | null | 0 | jhb88c9 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb88c9/ | false | 1 |
t1_jhb6o7w | Obviously. Google "catastrophic forgetting". | 1 | 0 | 2023-04-22T20:14:00 | BalorNG | false | null | 0 | jhb6o7w | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhb6o7w/ | false | 1 |
t1_jhb5kn0 | I think you there is a lot of fruitful research that can be done with extracting useful information out of these models before fine tuning, LHRF, or the addition of prompt adapters. Please lead the way. Its like we found an alien artifact. Do your good work | 2 | 0 | 2023-04-22T20:06:32 | robot_bones | false | null | 0 | jhb5kn0 | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhb5kn0/ | false | 2 |
t1_jhb4mqe | Right but that is at the same time more expensive and slower than a GPU for this particular task. | 2 | 0 | 2023-04-22T19:59:56 | Faintly_glowing_fish | false | null | 0 | jhb4mqe | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb4mqe/ | false | 2 |
t1_jhb3tuy | Depending what you want, you can run models via the GPU and have the system off load everything that doesn't fit into RAM. It does slow things down, but allows higher trained models to run.
Most UIs are equipped to allow multiple GPUs, but you would have to check it's documentation to make sure. And I've only seen Nvi... | 1 | 0 | 2023-04-22T19:54:27 | redfoxkiller | false | null | 0 | jhb3tuy | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb3tuy/ | false | 1 |
t1_jhb2qml | As I said, llama.cpp. | 2 | 0 | 2023-04-22T19:47:14 | fallingdowndizzyvr | false | null | 0 | jhb2qml | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb2qml/ | false | 2 |
t1_jhb2mny | What are you running that’s getting 3-4 tokens per second on a CPU? I have tried multiple options and never gotten that good of results. Finally decided that local LLM was out of my hardware’s league. | 1 | 0 | 2023-04-22T19:46:28 | PacmanIncarnate | false | null | 0 | jhb2mny | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb2mny/ | false | 1 |
t1_jhb1ohw | > Newer CPUs are not faster in general. In fact CPUs have hardly gotten any faster in the past 15 years. You gain little speed up unless you just get a larger number of them. But buying 3 CPUs is both more expensive and at the same time slower than a GPU so that isn’t exactly wise.
That's exactly how newer CPUs have g... | 4 | 0 | 2023-04-22T19:39:59 | fallingdowndizzyvr | false | null | 0 | jhb1ohw | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb1ohw/ | false | 4 |
t1_jhb13bc | > My current CPU is very old and takes 3 seconds to generate a single token on the 13B model
I get 3-4 tokens a second on my laptop and Steam Deck for a 13B model. To me, that's fast enough. It's like watching a good typist. So I've decided to go with CPU over GPU since I can get 64GB of RAM cheaply and thus run big m... | 1 | 0 | 2023-04-22T19:36:00 | fallingdowndizzyvr | false | null | 0 | jhb13bc | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb13bc/ | false | 1 |
t1_jhb0i60 | > My Ryzen 5 3600: LLaMA 13b: 1 token per second
What are you running? Is that PyTorch using only the CPU? Even on my little Steam Deck llama.cpp gets 3-4 tokens per second. | 3 | 0 | 2023-04-22T19:31:52 | fallingdowndizzyvr | false | null | 0 | jhb0i60 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhb0i60/ | false | 3 |
t1_jhaz3qg | Did you include example exchanges in the prompt? As far as I see these are very unstable without those. And more is better. | 2 | 0 | 2023-04-22T19:22:06 | Faintly_glowing_fish | false | null | 0 | jhaz3qg | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhaz3qg/ | false | 2 |
t1_jhayfud | Thanks for your input! Yeah, it's really, like, it doesn't get better than the RTX 3090 from what I can tell. If you want more vram than that, theres a huge jump to professinal server hardware that goes into parallelism anyway, apparently.
Anyway I am very aware of the "well, it's still not enough" thing, and I am get... | 5 | 0 | 2023-04-22T19:17:24 | involviert | false | null | 0 | jhayfud | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhayfud/ | false | 5 |
t1_jhaxzri | GPU is more cost effective than CPU usually if you aim for the same performance. But if you don’t care about speed and just care about being able to do the thing then CPUs cheaper because there’s no viable GPU below a certain compute power.
Newer CPUs are not faster in general. In fact CPUs have hardly gotten any ... | 3 | 0 | 2023-04-22T19:14:11 | Faintly_glowing_fish | false | null | 0 | jhaxzri | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhaxzri/ | false | 3 |
t1_jhawkh5 | Check the wiki for VRAM sizes and make sure and check 4bit requirements. Technically, with a 3090+ you will be able to run 30b models in 4bit (~18GB) which wouldn’t fit in a 12GB card.
Is that important? I don’t know, thats up to you. =] I often just run 13b in 4bit, but I bought a 4090 so that I could scale if I wan... | 3 | 0 | 2023-04-22T19:03:46 | disarmyouwitha | false | null | 0 | jhawkh5 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhawkh5/ | false | 3 |
t1_jhau3r4 | Yes, a 13b model in 4bit will fit on a 12GB card, the models and VRAM requirements are on the wiki of this sub if anyone needs ^^ | 2 | 0 | 2023-04-22T18:45:25 | disarmyouwitha | false | null | 0 | jhau3r4 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhau3r4/ | false | 2 |
t1_jhatjp4 | If you want to get any good speeds with a bigger model I think you will want a GPU.. If you want to run a 30b model (in 4bits) you would need 20gb VRAM so like a 3090/4090
But you might find that you are happy with a 13b model (in 4 bits) on a GPU with 12GB VRAM.
TBH I often run Koala/Vicuña 13b in 4bit because it ... | 2 | 0 | 2023-04-22T18:41:20 | disarmyouwitha | false | 2023-04-23T06:04:12 | 0 | jhatjp4 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhatjp4/ | false | 2 |
t1_jhaspo8 | Part of the problem is that the models are very sloppy on the prompting, because they're all being trained differently. For example, with Vicuna 1.0 I had the best luck with this prompt format:
### Human: What is 2+2?
### Assistant:
On Vicuna 1.1 using GPTQ Triton, it seems to be less finicky. GPT4-x-alpaca w... | 3 | 0 | 2023-04-22T18:35:23 | synn89 | false | null | 0 | jhaspo8 | false | /r/LocalLLaMA/comments/12v9ici/weird_output_at_the_end_of_response_from_local/jhaspo8/ | false | 3 |
t1_jhapm1y | Do these only work with GPT-J or can you use them with Llama models? | 1 | 0 | 2023-04-22T18:12:59 | disarmyouwitha | false | null | 0 | jhapm1y | false | /r/LocalLLaMA/comments/12v7ypv/llm_specialized_in_programming/jhapm1y/ | false | 1 |
t1_jhap3mq | Where do you think the current sweet spot is? I am willing to shell out like 2K to be generally well positioned in the home-ai space. But I wonder, if I get an RTX 3090 with 24 gb vram (iiirc) there might be a lot of potential for being able to do exactly zero more than with 12 gb.
also llama.cpp just automatically ru... | 3 | 0 | 2023-04-22T18:09:16 | involviert | false | null | 0 | jhap3mq | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhap3mq/ | false | 3 |
t1_jhamq0j | Hey Bing, please explain what model one would use to simulate, like, a virtual persona, based on that data right there. Bro. | 2 | 0 | 2023-04-22T17:52:23 | involviert | false | null | 0 | jhamq0j | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhamq0j/ | false | 2 |
t1_jhaln8q | [deleted] | 1 | 0 | 2023-04-22T17:44:44 | [deleted] | true | null | 0 | jhaln8q | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhaln8q/ | false | 1 |
t1_jhalard | [removed] | 1 | 0 | 2023-04-22T17:42:12 | [deleted] | true | null | 0 | jhalard | false | /r/LocalLLaMA/comments/12vdb41/fitting_a_65b_shoggoth_on_your_puny_laptop_ram_be/jhalard/ | false | 1 |
t1_jhahomv | If he wants to run on gpu he needs 24gb vram, end of story. 3090/4090, that’s it. Technically could get a p40, but support will probably get dropped much sooner. | 3 | 0 | 2023-04-22T17:16:47 | dealingwitholddata | false | null | 0 | jhahomv | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhahomv/ | false | 3 |
t1_jhah2ua | Ah I see that makes sense. I don't know about you but after a few texts, the model just starts role-playing talking to me on its own in its own texts, so it just write my input and then replies to it on its own. | 1 | 0 | 2023-04-22T17:12:34 | rancorger | false | null | 0 | jhah2ua | false | /r/LocalLLaMA/comments/12svfp4/whats_your_favorite_recent_llama_variant/jhah2ua/ | false | 1 |
t1_jhag9f2 | I would get whatever can run a 30b aka 33b models. 24gb of vram (still just barely fitting it in) or a cpu and 32gb ram (or 64 why not) and live with whatever speed you get. I can't understand people accepting a crappier model just because it's fast. What? No. | 7 | 0 | 2023-04-22T17:06:53 | ambient_temp_xeno | false | null | 0 | jhag9f2 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhag9f2/ | false | 7 |
t1_jhag8rf | https://github.com/oobabooga/text-generation-webui/ | 2 | 0 | 2023-04-22T17:06:46 | rerri | false | null | 0 | jhag8rf | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhag8rf/ | false | 2 |
t1_jhafr8k | I'm using ggml-vicuna-13b-1.1-q4_1.bin with "KoboldAI Lite Embedded" (koboldcpp.exe).
https://huggingface.co/eachadea/ggml-vicuna-13b-1.1/tree/main
Slow but excellent output. Is the KoboldAI version you're using different (GPU specific?) | 2 | 0 | 2023-04-22T17:03:15 | randomqhacker | false | null | 0 | jhafr8k | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jhafr8k/ | false | 2 |
t1_jhafh9z | Link to the GitHub? | 1 | 0 | 2023-04-22T17:01:13 | _rundown_ | false | null | 0 | jhafh9z | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhafh9z/ | false | 1 |
t1_jhadvo9 | Also, I think you can probably find the VRAM necessary for a model somewhere on Google or reddit. I think I use 10~11Go for 13B models like vicuna or gptxalpaca.
Also, Bonus features of GPU: Stable diffusion, LLM Lora training. | 3 | 0 | 2023-04-22T16:50:04 | knoodrake | false | null | 0 | jhadvo9 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhadvo9/ | false | 3 |
t1_jhadn50 | My Ryzen 5 3600: LLaMA 13b: 1 token per second
My RTX 3060: LLaMA 13b 4bit: 18 tokens per second
So far with the 3060's 12GB I can train a LoRA for the 7b 4-bit only. Not sure if the results are any good, but I don't even wanna think about trying it with CPU. I don't wanna cook my CPU for weeks or months on tra... | 8 | 0 | 2023-04-22T16:48:28 | phree_radical | false | 2023-04-22T16:51:50 | 0 | jhadn50 | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhadn50/ | false | 8 |
t1_jhadcrm | I think 4bit and even 8bit perhaps will start showing limitations at some parameter sizes, and dimensions, plainly, because the prediction will not find enough precision to make a coherent response. i also spec’d a “what will it take’ scenario to run bigger models and they are all north of $10k, which for hobbyist/entr... | 2 | 0 | 2023-04-22T16:46:30 | VertigoOne1 | false | null | 0 | jhadcrm | false | /r/LocalLLaMA/comments/12u6edu/trends_in_computational_power_requirements_for/jhadcrm/ | false | 2 |
t1_jhadboe | Well, I am definitely in tokens per seconds, not seconds per token with an RTX GPU.
Sometimes stuff can be somewhat difficult to make work with gpu (cuda version, torch version, and so on and so on), or it can sometimes be extremely easy (like the 1click oogabooga thing).
Anyways, GPU without any questions.
The only ... | 4 | 0 | 2023-04-22T16:46:17 | knoodrake | false | null | 0 | jhadboe | false | /r/LocalLLaMA/comments/12v9jji/upgrading_pc_for_llama_cpu_vs_gpu/jhadboe/ | false | 4 |
t1_jhacfwr | See fauxpilot - https://github.com/fauxpilot/fauxpilot
Use fauxpilot plugin for VSCode with a fauxpilot server.
Salesforce-Codegen models- https://huggingface.co/models?search=salesforce+codegen
CPU-based fauxpilot, Turbopilot- https://github.com/ravenscroftj/turbopilot (also based on salesforce-codegen & they have ... | 4 | 0 | 2023-04-22T16:40:04 | spirilis | false | null | 0 | jhacfwr | false | /r/LocalLLaMA/comments/12v7ypv/llm_specialized_in_programming/jhacfwr/ | false | 4 |
t1_jhabzly | For lm-eval, I think you'd either need to take GPTQ's inference script and shim it into a model: [https://github.com/EleutherAI/lm-evaluation-harness/tree/master/lm\_eval/models](https://github.com/EleutherAI/lm-evaluation-harness/tree/master/lm_eval/models) or you might be able to use a project like [https://github.co... | 3 | 0 | 2023-04-22T16:36:52 | randomfoo2 | false | null | 0 | jhabzly | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jhabzly/ | false | 3 |
t1_jhaa57z | There was this - [I trained llama7b on Unreal Engine 5’s documentation](https://old.reddit.com/r/LocalLLaMA/comments/12gj0l0/i_trained_llama7b_on_unreal_engine_5s/)
Are you looking for a particular programming language? There should be at least one or two models on huggingface aimed more towards software development. | 2 | 0 | 2023-04-22T16:23:50 | AzerbaijanNyan | false | null | 0 | jhaa57z | false | /r/LocalLLaMA/comments/12v7ypv/llm_specialized_in_programming/jhaa57z/ | false | 2 |
t1_jha975o | Taking almost anything down past 4bit makes it dumb as hell.
I would argue that 4bit does the same but it's still workable to a point. | 1 | 0 | 2023-04-22T16:16:55 | redfoxkiller | false | null | 0 | jha975o | false | /r/LocalLLaMA/comments/12u6edu/trends_in_computational_power_requirements_for/jha975o/ | false | 1 |
t1_jha5306 | Fine tuning will come with its own challenges but is probably your best bet. You'll have to generate question/answer sets unless you want it to just generate documentation in the style of your other documentation (if I'm understanding the situation correctly) | 1 | 0 | 2023-04-22T15:47:15 | LetMeGuessYourAlts | false | null | 0 | jha5306 | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jha5306/ | false | 1 |
t1_jha4u0a | There are some real tricky situations here, unless all of your documents are prevetted, absolutely correct and at the same time complete for the subject they are referring to.
The model has no knowledge of recent events so if you tell it something changes it is just gonna trust it 100%.
For example you ask it what... | 1 | 0 | 2023-04-22T15:45:27 | Faintly_glowing_fish | false | null | 0 | jha4u0a | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jha4u0a/ | false | 1 |
t1_jha4q6s | I really try to avoid these to be honest as finetuning might work better than this | 1 | 0 | 2023-04-22T15:44:41 | teraktor2003 | false | null | 0 | jha4q6s | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jha4q6s/ | false | 1 |
t1_jha3jyx | Does Langchain first check the doc and then the general knowledge of LLM?
As far as I understand, you can pass docs to Langchain to query from that specific doc.
Any gitHub or other resources is appreciated. | 1 | 0 | 2023-04-22T15:36:21 | teraktor2003 | false | null | 0 | jha3jyx | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jha3jyx/ | false | 1 |
t1_jh9z7wd | Langchain. You can solve this problem with just a few lines of code. | 4 | 0 | 2023-04-22T15:05:15 | ZestyData | false | null | 0 | jh9z7wd | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jh9z7wd/ | false | 4 |
t1_jh9y6l0 | Vicuna 13B will work the best right now. Pure LLaMa 30B/65B is probably going to do better in the long run with better prompting | 4 | 0 | 2023-04-22T14:57:29 | Dany0 | false | null | 0 | jh9y6l0 | false | /r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jh9y6l0/ | false | 4 |
t1_jh9y5nt | CPP is going to have a different quantization too but I assume they should be in the same ballpark at least. | 1 | 0 | 2023-04-22T14:57:18 | a_beautiful_rhind | false | null | 0 | jh9y5nt | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9y5nt/ | false | 1 |
t1_jh9xknw | Josh-XT did a great job with Agent-LLM!
I looked through his code and there is a lot to like. Ran the agent, it unfortunately fails miserably with Vicuna right now. I suspect Vicuna's habit of returning the prompt alongside its answer might have to do with it. | 3 | 0 | 2023-04-22T14:52:58 | nbuster | false | null | 0 | jh9xknw | false | /r/LocalLLaMA/comments/12u9f2u/adding_longterm_memory_to_custom_llms_lets_tame/jh9xknw/ | false | 3 |
t1_jh9x5e3 | The llama.cpp perplexity scores for 7B were context 512 yeah.
But now you mention it, I'm not certain what the Vicuna 13B figure was. It might have been 2048. Good point. I'll run my own tests and see what I come back with. | 5 | 0 | 2023-04-22T14:49:48 | The-Bloke | false | null | 0 | jh9x5e3 | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9x5e3/ | false | 5 |
t1_jh9wz9z | > Also a score of 7 for Llama 7B
I used 512 context, did you use full context? I think we would have to compare like context to like. | 2 | 0 | 2023-04-22T14:48:32 | a_beautiful_rhind | false | null | 0 | jh9wz9z | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9wz9z/ | false | 2 |
t1_jh9wq5n | Some of those perplexity scores are surprisingly high and not matching what I'm familiar with. For example on Vicuna 13B v1.1 4bit 128g, I've seen a score around 7.11 for wikitext. Source: [https://huggingface.co/TheBloke/vicuna-13B-1.1-GPTQ-4bit-128g/discussions/4#644041ea7841867cd5b4dce6](https://huggingface.co/TheBl... | 11 | 0 | 2023-04-22T14:46:37 | The-Bloke | false | null | 0 | jh9wq5n | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9wq5n/ | false | 11 |
t1_jh9w0ci | We need a model who select a finetuned model depending of the context.
A model trained on stories, an other one for chat, an other one for wiki...
When it detect a chat format, it switch to the best model, if the prompter ask for code, it switch for the code finetuned one... | 5 | 0 | 2023-04-22T14:41:07 | 3deal | false | null | 0 | jh9w0ci | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9w0ci/ | false | 5 |
t1_jh9vo3m | You need to somehow get the pertinent sections of data into the prompt to be able to query that data if fine-tuning is not an option. You could iterate through all the data with the LLM to find that pertinent data (slow) or you could use a more traditional text search to find it much faster but potentially with less ac... | 4 | 0 | 2023-04-22T14:38:34 | LetMeGuessYourAlts | false | null | 0 | jh9vo3m | false | /r/LocalLLaMA/comments/12v642q/how_do_make_llm_models_for_example_koala_search/jh9vo3m/ | false | 4 |
t1_jh9s6ge | Is there a zero sum mechanism going on here, if you add something then something must be taken away as well? | 4 | 0 | 2023-04-22T14:11:26 | mulletarian | false | null | 0 | jh9s6ge | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9s6ge/ | false | 4 |
t1_jh9rcx0 | Hey just found this sub, does this allow someone to run autogpt but instead of querying the gpt api they can use llama as a core locally? | 2 | 0 | 2023-04-22T14:04:50 | lawless_c | false | null | 0 | jh9rcx0 | false | /r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jh9rcx0/ | false | 2 |
t1_jh9qdlb | Predicting the next word is useful metric for TRAINING, but than other things take priority - like, producing coherent and useful *replies*. And besides, who runs their models at zero temperature? Using nonzero would increase their perplexity by definition, but it works.
Also, since we are working with fairly small mo... | 18 | 0 | 2023-04-22T13:56:48 | BalorNG | false | null | 0 | jh9qdlb | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9qdlb/ | false | 18 |
t1_jh9mrz8 | Ah, yes, numbers are made of... numbers | 6 | 0 | 2023-04-22T13:26:19 | 2muchnet42day | false | null | 0 | jh9mrz8 | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9mrz8/ | false | 6 |
t1_jh9mo6b | It's a little known fact the during his childhood, JFK idolized Steve Jobs and strived to grow up to be like him. | 1 | 0 | 2023-04-22T13:25:22 | ThePseudoMcCoy | false | null | 0 | jh9mo6b | false | /r/LocalLLaMA/comments/12uxeu4/was_messing_around_with_a_jfkbot_i_made_and_hes_a/jh9mo6b/ | false | 1 |
t1_jh9jvnw | I bet this would be really shocking if I had any idea wtf I am looking at. | 5 | 0 | 2023-04-22T12:59:29 | SoundHole | false | null | 0 | jh9jvnw | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9jvnw/ | false | 5 |
t1_jh9ji8t | Thank you very much for such a detailed and quick answer.
I am familiar with the johnsmith0031 repo, I think he did an awesome job and the results are great. I have finetuned and played with 30b 4 bit with very good results, but was interested in trying 2 bit 65 and see how it performed.
Thank you very very much for ... | 1 | 0 | 2023-04-22T12:55:52 | 2muchnet42day | false | null | 0 | jh9ji8t | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh9ji8t/ | false | 1 |
t1_jh9j7zx | LLaMA 7b is a potato. | 3 | 0 | 2023-04-22T12:53:10 | ambient_temp_xeno | false | null | 0 | jh9j7zx | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9j7zx/ | false | 3 |
t1_jh9j6oy | Probably not possible right now.
Firstly, the files I listed in the OP are GGML files for CPU inference. They can't be fine tuned at all, to my knowledge. All the fine tuning code I've seen uses the GPU.
There are no 2-bit quantisation methods for GPU right now that I know of. GPTQ provides 4bit and 3bit quantisatio... | 5 | 0 | 2023-04-22T12:52:49 | The-Bloke | false | null | 0 | jh9j6oy | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh9j6oy/ | false | 5 |
t1_jh9iz2x | Even GPT4 was smarter before they fine-tuned it into ChatGPT. Making it follow instructions makes it worse at predicting next words in the general case, but the fine tunes are still easier to use. | 24 | 0 | 2023-04-22T12:50:49 | i_wayyy_over_think | false | null | 0 | jh9iz2x | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9iz2x/ | false | 24 |
t1_jh9iilf | How would one go about finetuning with LoRA the 2 bit version? | 1 | 0 | 2023-04-22T12:46:21 | 2muchnet42day | false | null | 0 | jh9iilf | false | /r/LocalLLaMA/comments/12sqo3r/fatty_alpaca_alpacalora65b_ggml_quantised_to_4bit/jh9iilf/ | false | 1 |
t1_jh9ih4n | That's going to work on models used through GPTQ and https://github.com/johnsmith0031/alpaca_lora_4bit ? | 1 | 0 | 2023-04-22T12:45:57 | a_beautiful_rhind | false | null | 0 | jh9ih4n | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9ih4n/ | false | 1 |
t1_jh9idsd | I think your analogy is on the right track and your last sentence is spot-on. As I have wrapped my head around it, a large model is a (very) complex mapping of numerical "switches" (weights) that guide linear mathematical operations to a specific (hypothetical) point in space, given a particular input value(s). So, the... | 2 | 0 | 2023-04-22T12:45:02 | SoCuteShibe | false | null | 0 | jh9idsd | false | /r/LocalLLaMA/comments/12o1nrl/why_are_llms_read_only/jh9idsd/ | false | 2 |
t1_jh9ib06 | One is in pickle and one is in safetensors, probably not. | 1 | 0 | 2023-04-22T12:44:17 | a_beautiful_rhind | false | null | 0 | jh9ib06 | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9ib06/ | false | 1 |
t1_jh9hz4o | But is there a difference between the 2 I posted? | 2 | 0 | 2023-04-22T12:40:58 | mrbluesneeze | false | null | 0 | jh9hz4o | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9hz4o/ | false | 2 |
t1_jh9hge0 | Thanks for sharing. Works great for me with suggested GPTQ. However I wasn’t able to get Vicuna 1.1 4or 8 bit to work with any LoRas. Do you know if it is even possible, or if LORAs can only be loaded on top of base llama models? | 1 | 0 | 2023-04-22T12:35:40 | shirtshape | false | null | 0 | jh9hge0 | false | /r/LocalLLaMA/comments/12u1mtx/vicuna_13b_11_gptq_4bit_128g_doesnt_work/jh9hge0/ | false | 1 |
t1_jh9gz84 | What llama model they recommend to try this out ? | 2 | 0 | 2023-04-22T12:30:41 | Still_Map_8572 | false | null | 0 | jh9gz84 | false | /r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jh9gz84/ | false | 2 |
t1_jh9gxwp | This might be expected? All these quick and dirty fine-tunes are built to make it function better as a chatbot, so it makes sense it would become less accurate for text completions? A bit more about perplexity and what Wikitext actually is:
* [https://blog.salesforceairesearch.com/the-wikitext-long-term-dependency-lan... | 15 | 0 | 2023-04-22T12:30:19 | randomfoo2 | false | null | 0 | jh9gxwp | false | /r/LocalLLaMA/comments/12v2nwd/are_all_the_finetunes_stupid/jh9gxwp/ | false | 15 |
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