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 |
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t1_jhyffin | I haven't mentioned the memory size, I'm talking about the bandwidth. Threadripper have twice the mem bandwidth. But yeah I guess what you're saying is that CPUs are too slow to do anything so if it can't fit in VRAM just forget it.
I'm confused about cache this guy says it doesn't matter. https://www.reddit.com/r/Loc... | 1 | 0 | 2023-04-27T19:07:31 | Charuru | false | null | 0 | jhyffin | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhyffin/ | false | 1 |
t1_jhyf758 | CPU, with multi threads nicely. Looking into the GPU but not sure if it will work. | 1 | 0 | 2023-04-27T19:05:57 | Thalesian | false | null | 0 | jhyf758 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhyf758/ | false | 1 |
t1_jhydyp3 | Are you running it on metal or on CPU? | 1 | 0 | 2023-04-27T18:57:48 | hapliniste | false | null | 0 | jhydyp3 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhydyp3/ | false | 1 |
t1_jhydqfs | I don't either. I will see what happens with the FP16. At least I won't try to re-convert the opts. They also have this issue. | 1 | 0 | 2023-04-27T18:56:18 | a_beautiful_rhind | false | null | 0 | jhydqfs | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhydqfs/ | false | 1 |
t1_jhydknx | x3d really is only good for gaming, at pretty much every other task it is significantly worse than normal ryzen chips. I believe it is generally better to get more cores despite running at lower frequencies, as long as you dont go extreme (like 3 digit core counts) there shouldnt be too much overhead/scaling issues. | 0 | 0 | 2023-04-27T18:55:17 | cbg_27 | false | null | 0 | jhydknx | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhydknx/ | false | 0 |
t1_jhydbv9 | With koboldCPP is how I run it. | 1 | 0 | 2023-04-27T18:53:42 | a_beautiful_rhind | false | null | 0 | jhydbv9 | false | /r/LocalLLaMA/comments/130dzlf/gpt4chan_in_ggml/jhydbv9/ | false | 1 |
t1_jhydbw4 | Thanks for the link and explanation! I think my testing was terribly flawed as I've been retrying it for the past hour and not getting any kind of reliable pattern.
I think I tricked myself into thinking I understood how it works because I'd had good luck finetuning for story generation but maybe it's been RNG all al... | 1 | 0 | 2023-04-27T18:53:42 | ambient_temp_xeno | false | null | 0 | jhydbw4 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhydbw4/ | false | 1 |
t1_jhyc23a | If purely for LLM use then this is good. I think for people interested in other areas as well, staying on Nvidia for CUDA might be worth the vram tradeoff. | 1 | 0 | 2023-04-27T18:45:28 | onlymadebcofnewreddi | false | null | 0 | jhyc23a | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhyc23a/ | false | 1 |
t1_jhyatpl | I am impressed with how my maxed out Mac Studio (M1 Ultra, 128 Gb RAM) is handling llama 64B with all threads utilized. Very functional. | 2 | 0 | 2023-04-27T18:37:22 | Thalesian | false | null | 0 | jhyatpl | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhyatpl/ | false | 2 |
t1_jhya19a | I've played with llama 65b, 30b, 13b, and they are all in the same ballpark. This seems to be the norm regardless of model and size. You could get into semantics regarding an extra half a token, but ultimately if you're worried about speed, you'll need a GPU regardless. | 2 | 0 | 2023-04-27T18:32:15 | AsheramL | false | null | 0 | jhya19a | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhya19a/ | false | 2 |
t1_jhy9wp4 | If you load it in 8bit it would be like 40gb so I think it would fit~ | 2 | 0 | 2023-04-27T18:31:27 | disarmyouwitha | false | null | 0 | jhy9wp4 | false | /r/LocalLLaMA/comments/1301oc8/performance_penalty_ideal_settings_for_multigpu/jhy9wp4/ | false | 2 |
t1_jhy95b8 | Very interesting - I wonder if this applies to training, too? Though, I don't think I could fit 30b in 48GB at 8bit anyway. Maybe if i lowered batch/micro-batch or something. | 2 | 0 | 2023-04-27T18:26:31 | tronathan | false | null | 0 | jhy95b8 | false | /r/LocalLLaMA/comments/1301oc8/performance_penalty_ideal_settings_for_multigpu/jhy95b8/ | false | 2 |
t1_jhy74tl | I'd wait for next Gen of hardware. Now with this market growing so much, next Gen might have incredible optimization and AI specific features to make you regret buying now | 3 | 0 | 2023-04-27T18:13:24 | burned_pixel | false | null | 0 | jhy74tl | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhy74tl/ | false | 3 |
t1_jhy6fji | The [documentation here](https://huggingface.co/docs/transformers/v4.18.0/en/main_classes/text_generation) explains all generation parameters in easier to understand terms. For top\_p:
>If set to float < 1, only the most probable tokens with probabilities that add up to top\_p or higher are kept for generation.
LLaMA... | 2 | 0 | 2023-04-27T18:08:50 | Technical_Leather949 | false | null | 0 | jhy6fji | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhy6fji/ | false | 2 |
t1_jhy5ru3 | At this point, just try to get any model running at all. 16GB isn't a lot of ram for this purpose. I would start [here.](https://github.com/oobabooga/text-generation-webui) | 2 | 0 | 2023-04-27T18:04:32 | AprilDoll | false | null | 0 | jhy5ru3 | false | /r/LocalLLaMA/comments/130turq/best_model_to_summarize_text_on_mac/jhy5ru3/ | false | 2 |
t1_jhy5oey | MI25s are enticingly cheap, but they're also AMD, which is the red headed stepchild of AI right now. There are ways of making them useful, but they're rather difficult and nowhere near as efficient as nvidia cards.
The sweet spot for bargain-basement AI cards is the P40. 24GB of GDDR5 and enough tensor cores to actu... | 3 | 0 | 2023-04-27T18:03:54 | candre23 | false | null | 0 | jhy5oey | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhy5oey/ | false | 3 |
t1_jhy56ow | I mean that at some number of parameters you won't see improvement in some areas. Like at let's say 300b you may be at the limit of one language but after that you start seeing improvement in other languages , or with creative writing etcetera. There is a limit on states in the universe but no limit on numbers. | 1 | 0 | 2023-04-27T18:00:36 | pearax | false | null | 0 | jhy56ow | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhy56ow/ | false | 1 |
t1_jhy4hei | [People have gotten creative in the past](https://hackaday.com/2021/01/29/add-an-extra-8gb-of-vram-to-your-2070/). It's certainly possible. Performance would possibly not even be bad if it's done right.
Lotsa defunct AMD MI25s floating around with HBR2 VRAM... | 1 | 0 | 2023-04-27T17:55:56 | friedrichvonschiller | false | null | 0 | jhy4hei | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhy4hei/ | false | 1 |
t1_jhy4b39 | Open hardware in particular would be nice. ROCm is open source, and fat lot of good that's done. | 1 | 0 | 2023-04-27T17:54:46 | friedrichvonschiller | false | null | 0 | jhy4b39 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhy4b39/ | false | 1 |
t1_jhy3t7x | <3 | 2 | 0 | 2023-04-27T17:51:32 | dont_forget_canada | false | null | 0 | jhy3t7x | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhy3t7x/ | false | 2 |
t1_jhy3phh | They recently changed the license to their Encodec tool, so they aren't against retroactively changing something to be more open.
https://github.com/facebookresearch/encodec/commit/349b72939f57cb3bc7b60906c0ee8228c849485d | 2 | 0 | 2023-04-27T17:50:50 | TeamPupNSudz | false | null | 0 | jhy3phh | false | /r/LocalLLaMA/comments/1303g6t/why_hasnt_meta_made_llama_open_source/jhy3phh/ | false | 2 |
t1_jhy2v3m | Initial impression is that it is good and quick. Thank you. | 2 | 0 | 2023-04-27T17:45:17 | evilRainbow | false | null | 0 | jhy2v3m | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhy2v3m/ | false | 2 |
t1_jhy2u1u | GPT-3.5 API is super simple, costs $0.002 per 1000 tokens, is highly available, uses someone else's electricity...
If you're gonna drop $2000 on a system with GPU, the breakeven is ~750,000,000 words.
Probably only worth it if you want to do something ChatGPT doesn't allow, or value your (or your businesses) privacy. | 2 | 0 | 2023-04-27T17:45:06 | randomqhacker | false | null | 0 | jhy2u1u | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhy2u1u/ | false | 2 |
t1_jhxz6ji | There's never been a significant market for that kind of modification before now. But if say MSI realizes that they could take a 4090 that usually sells for $1600, add $200 worth of VRAM to it, and people will pay $500 more for the card, they'll do it.
Hell, I could see somebody taking a 40-series GPU and slapping it... | 3 | 0 | 2023-04-27T17:21:02 | candre23 | false | 2023-04-27T17:25:54 | 0 | jhxz6ji | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxz6ji/ | false | 3 |
t1_jhxyw79 | People recommand to get a bigger RAM for loading model to the GPU's VRAM. But i think you can always use swap. Nowadays, the SSD is pretty fast. And the loading is one-time thing, a bit slow is bearable. | 4 | 0 | 2023-04-27T17:19:10 | ericytt | false | null | 0 | jhxyw79 | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxyw79/ | false | 4 |
t1_jhxyuz7 | > Based on the information provided, we can conclude that David has 6 brothers.
Also Wizard 7B | 2 | 0 | 2023-04-27T17:18:56 | StrangerAttractor | false | null | 0 | jhxyuz7 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxyuz7/ | false | 2 |
t1_jhxyn6a | That's an awesome video. I still don't fully get how physics allows for this, but damn. I think the key for the car are the wheels, I don't think the same principle would work on a boat, because you need wheels on the ground turning the fan, unless some kind of water wheels would work, assuming their drag on the water ... | 1 | 0 | 2023-04-27T17:17:31 | YearZero | false | null | 0 | jhxyn6a | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxyn6a/ | false | 1 |
t1_jhxyhpg | Sounds like some competition from open-source (open-hardware) is needed! | 3 | 0 | 2023-04-27T17:16:30 | randomqhacker | false | null | 0 | jhxyhpg | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxyhpg/ | false | 3 |
t1_jhxycz7 | Kinda noob here. How it differs from 4 bit?
Thanks for work, especially for ggml) Will try soon
Edit: nvm, read difference of hf readme | 3 | 0 | 2023-04-27T17:15:39 | 0xblacknote | false | 2023-04-27T17:21:26 | 0 | jhxycz7 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxycz7/ | false | 3 |
t1_jhxybl0 | The quantized (4-bit) model doesn't require lots of memory. For example, 30B model only requires 19.5GB. 32GB memory is enough. If you want to load the original model which requires >60GB memory, you might want to get a bigger memory size. But it's barely usable since it's gonna be really really slow.. so i assumed nob... | 4 | 0 | 2023-04-27T17:15:23 | ericytt | false | null | 0 | jhxybl0 | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxybl0/ | false | 4 |
t1_jhxxi4n | Thanks! Something like this is what I am looking for! | 1 | 0 | 2023-04-27T17:09:56 | Koliham | false | null | 0 | jhxxi4n | false | /r/LocalLLaMA/comments/1301nmj/licence_of_the_llm_models/jhxxi4n/ | false | 1 |
t1_jhxx8o0 | hmm how do you run this model? I only get "failed to load" 🤔 | 2 | 0 | 2023-04-27T17:08:13 | Evening_Ad6637 | false | null | 0 | jhxx8o0 | false | /r/LocalLLaMA/comments/130dzlf/gpt4chan_in_ggml/jhxx8o0/ | false | 2 |
t1_jhxx8es | >I'm yet to see a computer that failed to do that.
I have failed to boot Ubuntu from an usb stick more times that I could remember, in different PCs. | 1 | 0 | 2023-04-27T17:08:10 | IrisColt | false | null | 0 | jhxx8es | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhxx8es/ | false | 1 |
t1_jhxx6ce | You can use WSL2 instead, I think thats the best way to get it to work on windows apart from dual booting linux. Vicuna no-act-order .pt models from thebloke should run on windows without triton though. They work fine for me as long as I dont try to use --pre\_layer | 2 | 0 | 2023-04-27T17:07:47 | lemon07r | false | null | 0 | jhxx6ce | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxx6ce/ | false | 2 |
t1_jhxx2i6 | Are you sure?
"Are you sure they're the same weight, Bing?"
>Yes, I’m sure. The question is not about the number of items, but the weight of them. A pound is a unit of weight that is equal to 16 ounces or 453.6 grams. It doesn’t matter what the items are made of, as long as they weigh the same amount. Two pounds of f... | 6 | 0 | 2023-04-27T17:07:07 | friedrichvonschiller | false | null | 0 | jhxx2i6 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxx2i6/ | false | 6 |
t1_jhxx03e | [deleted] | 1 | 0 | 2023-04-27T17:06:40 | [deleted] | true | null | 0 | jhxx03e | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxx03e/ | false | 1 |
t1_jhxwzxn | Mine is M1, 16 GB ram. But I'm looking for something that works on all M1/M2 Macs. | 4 | 0 | 2023-04-27T17:06:39 | mmmm_frietjes | false | null | 0 | jhxwzxn | false | /r/LocalLLaMA/comments/130turq/best_model_to_summarize_text_on_mac/jhxwzxn/ | false | 4 |
t1_jhxww6m | No, not really. Use ggml version of wizardlm 7b to run off cpu and ram. | 3 | 0 | 2023-04-27T17:05:58 | lemon07r | false | null | 0 | jhxww6m | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxww6m/ | false | 3 |
t1_jhxwmjf | gpt4-x-alpaca 30b, vicuna-v1.1-13B and WizardLM-7B. In that order. However if you want uncensored vicuna is a no go. | 2 | 0 | 2023-04-27T17:04:10 | lemon07r | false | null | 0 | jhxwmjf | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxwmjf/ | false | 2 |
t1_jhxw7h6 | I thought that top_p is the percentage of weights(?) to ignore if they're not high probability of being 'correct'. So 0.1 would let through really quite unlikely things but 1.0 would only let through the most probable.
It seems to have been how things go in my usage in real testing, otherwise I'd just assume I got it ... | 1 | 0 | 2023-04-27T17:01:25 | ambient_temp_xeno | false | null | 0 | jhxw7h6 | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhxw7h6/ | false | 1 |
t1_jhxvxrb | That's beyond the scope of any reseller modification I've ever seen. I don't think they could or would do that.
I can certainly see AMD, NVIDIA, or even (sorry) Intel coming out with a high VRAM card, but right now, throttling VRAM is a mutually held business strategy that forces people into higher-end cards. Until so... | 9 | 0 | 2023-04-27T16:59:41 | friedrichvonschiller | false | null | 0 | jhxvxrb | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxvxrb/ | false | 9 |
t1_jhxvluj | I believe all those conclusions are correct. You want to look at single thread performance because Python. | 1 | 0 | 2023-04-27T16:57:36 | friedrichvonschiller | false | null | 0 | jhxvluj | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxvluj/ | false | 1 |
t1_jhxvj61 | System specs? | 2 | 0 | 2023-04-27T16:57:07 | AprilDoll | false | null | 0 | jhxvj61 | false | /r/LocalLLaMA/comments/130turq/best_model_to_summarize_text_on_mac/jhxvj61/ | false | 2 |
t1_jhxvho1 | PCIe lanes and power consumption due to inefficient older cards, mostly. Some of us have looked deeply into this. Others have done it.
[AMD Instinct MI25 | Machine Learning Setup on the Cheap!](https://www.zb-c.tech/2022/11/20/amd-instinct-mi25-machine-learning-setup-on-the-cheap/) | 2 | 0 | 2023-04-27T16:56:50 | friedrichvonschiller | false | null | 0 | jhxvho1 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxvho1/ | false | 2 |
t1_jhxvfe5 | I just tested my laptop's i7-10750H 6c/12t, and the few models I used both had max performance between 8 and 10 threads. Anything above and below that started losing some performance. So it did seem to go further than the graph. But the improvement was minor after 3 threads or so. | 3 | 0 | 2023-04-27T16:56:27 | YearZero | false | null | 0 | jhxvfe5 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxvfe5/ | false | 3 |
t1_jhxv6k3 | [It can be built](https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/9591), if painfully. I'll be running two of them shortly, with any luck. | 5 | 0 | 2023-04-27T16:54:53 | friedrichvonschiller | false | null | 0 | jhxv6k3 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxv6k3/ | false | 5 |
t1_jhxv67z | Based on what others have said about llama.cpp, my understading is that it is quite a bit slower than running on GPU. But I'm not very familiar with llama.cpp and it is a constantly developing project so who knows where it'll get as things progress. | 2 | 0 | 2023-04-27T16:54:50 | rerri | false | null | 0 | jhxv67z | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxv67z/ | false | 2 |
t1_jhxv4qf | [deleted] | 1 | 0 | 2023-04-27T16:54:35 | [deleted] | true | 2023-04-27T17:04:03 | 0 | jhxv4qf | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhxv4qf/ | false | 1 |
t1_jhxv0iy | I think the focus should be on PCIe lanes and slots to exploit the affordable power of dual GPUs.
The MSI MEG Ace x670e offers the most for a consumer board along with a new AM5 socket. AMD tends to keep sockets longer than Intel.
There are others that offer 2x PCIe 5.0 x8, which should be good for at least that long... | 1 | 0 | 2023-04-27T16:53:53 | friedrichvonschiller | false | null | 0 | jhxv0iy | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxv0iy/ | false | 1 |
t1_jhxtt8s | On a mac m2 there's only shared vram, no separate pools | 2 | 0 | 2023-04-27T16:46:17 | hapliniste | false | null | 0 | jhxtt8s | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxtt8s/ | false | 2 |
t1_jhxtbgg | try using --mlock parameter
it avoids swapping/compressing layers in RAM - keeping the whole model available ready to use | 2 | 0 | 2023-04-27T16:43:10 | alexl83 | false | null | 0 | jhxtbgg | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhxtbgg/ | false | 2 |
t1_jhxt78n | The Supermicro X9DRH-7F is an older server motherboard on the cheaper side, and is compatible with Registered ECC memory. This type of memory is extremely cheap if bought used since it is compatible with hardly any consumer hardware. The motherboard itself should fit in most E-ATX cases, and will work with standard ATX... | 1 | 0 | 2023-04-27T16:42:24 | AprilDoll | false | null | 0 | jhxt78n | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhxt78n/ | false | 1 |
t1_jhxt1pz | I couldn't get the GPU version to work for some reason but the CPU version is surprisingly quite fast, 7 tokens a second | 2 | 0 | 2023-04-27T16:41:30 | lemon07r | false | null | 0 | jhxt1pz | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxt1pz/ | false | 2 |
t1_jhxt12g | These parameters come from my post a few months ago. They have been tested extensively by both myself and other members of the community, including this [helpful comparison here](https://www.reddit.com/r/LocalLLaMA/comments/12az7ah/comparing_llama_and_alpaca_presets/). It has since been added to text generation web UI ... | 1 | 0 | 2023-04-27T16:41:23 | Technical_Leather949 | false | null | 0 | jhxt12g | false | /r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhxt12g/ | false | 1 |
t1_jhxsu5q | More cores better than higher clock speed? | 2 | 0 | 2023-04-27T16:40:07 | _rundown_ | false | null | 0 | jhxsu5q | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxsu5q/ | false | 2 |
t1_jhxssgm | Do you know the performance hit of loading the llm info system ram vs vram? | 2 | 0 | 2023-04-27T16:39:49 | ehbrah | false | null | 0 | jhxssgm | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxssgm/ | false | 2 |
t1_jhxsqxf | Do you know the performance hit of loading the llm info system ram vs vram? | 1 | 0 | 2023-04-27T16:39:33 | ehbrah | false | null | 0 | jhxsqxf | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxsqxf/ | false | 1 |
t1_jhxrew6 | i second this. for logic it outperforms everything but alpaca-65b | 1 | 0 | 2023-04-27T16:30:56 | LienniTa | false | null | 0 | jhxrew6 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhxrew6/ | false | 1 |
t1_jhxqez8 | I think he's suggesting that the capabilities leap from 7B to 13B *appears* to be greater than from 30B to 65B. | 1 | 0 | 2023-04-27T16:24:33 | SeymourBits | false | null | 0 | jhxqez8 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhxqez8/ | false | 1 |
t1_jhxpk8y | Best uncensored? | 2 | 0 | 2023-04-27T16:19:09 | CaptianCrypto | false | null | 0 | jhxpk8y | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxpk8y/ | false | 2 |
t1_jhxoxvd | for you information here is gpt-4 answer:
> A sailboat can go faster than the wind by using a combination of aerodynamics, hydrodynamics, and the principles of sailing. This is known as sailing faster than the wind, or "sailing upwind."
>The basic principle behind sailing upwind is that the sailboat is able to genera... | 4 | 0 | 2023-04-27T16:15:07 | roselan | false | null | 0 | jhxoxvd | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxoxvd/ | false | 4 |
t1_jhxlh80 | How fast was it? Why just 3 cores allocated? | 1 | 0 | 2023-04-27T15:52:56 | x54675788 | false | null | 0 | jhxlh80 | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhxlh80/ | false | 1 |
t1_jhxl09t | But which model and size? | 1 | 0 | 2023-04-27T15:49:54 | x54675788 | false | null | 0 | jhxl09t | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhxl09t/ | false | 1 |
t1_jhxklkb | But then you are negating part of the advantages of running locally with sharing your answer with a third party | 1 | 0 | 2023-04-27T15:47:20 | x54675788 | false | null | 0 | jhxklkb | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhxklkb/ | false | 1 |
t1_jhxk9x5 | LLMs are remarkably bad at answering this kind of questions, tbh | 4 | 0 | 2023-04-27T15:45:13 | x54675788 | false | null | 0 | jhxk9x5 | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxk9x5/ | false | 4 |
t1_jhxjuz6 | Because there's no good way to utilize multiple 4090s for the same AI task without a major performance penalty. As mentioned above, two 3090s with nvlink are better than two 4090s - or really any number of 4090s. | 1 | 0 | 2023-04-27T15:42:32 | candre23 | false | null | 0 | jhxjuz6 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxjuz6/ | false | 1 |
t1_jhxj35y | Anything with 24GB will still be usable in 5 years, but whether or not it's still "good" is anybody's guess.
My suspicion is that soon some board maker will hop on the AI bandwagon and start making cards with 32 or 48 or even 64gb of VRAM specifically for this purpose, even if it's not an "official" configuration from... | 10 | 0 | 2023-04-27T15:37:36 | candre23 | false | 2023-04-27T15:43:26 | 0 | jhxj35y | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxj35y/ | false | 10 |
t1_jhxi3hy | It didn't help :( I remade both act-order and no-act-order GPTQ files and they still perform slowly. The act-order file isn't \*awful\* - I get 10-13 tokens/s using Triton GPTQ-for-LLaMa on a 4090. But testing the no-act-order file using ooba's CUDA GPTQ fork - which a lot of people still use - I get 4-5 t/s. That's ... | 1 | 0 | 2023-04-27T15:31:06 | The-Bloke | false | null | 0 | jhxi3hy | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxi3hy/ | false | 1 |
t1_jhxi1ug | The 30B should fit on the GPU? The CPU would be for stuff that can't so like the 65B or others. I don't think it's correct that the speed doesn't matter, the memory speed is the bottleneck. The cores also matter less than the memory speed since that's the bottleneck. You're going to run out of memory bandwidth before y... | 3 | 0 | 2023-04-27T15:30:47 | Charuru | false | null | 0 | jhxi1ug | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxi1ug/ | false | 3 |
t1_jhxh3j6 | I will be checking all my models now.. for some reason OPT erebus/nerybus mix is really slow too, whether GPTQ or native. Regular opt model doesn't have this problem at the same size.
In theory the GPTQ *should* be the same.. Quantized from FP32 or FP16 *should* be , logically, the same file.. What happens in reality,... | 1 | 0 | 2023-04-27T15:24:32 | a_beautiful_rhind | false | null | 0 | jhxh3j6 | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxh3j6/ | false | 1 |
t1_jhxgum6 | Their bigger versions will still run better regardless. Look at how much better 30b gpt4-x-alpaca is compared to 13b in jeopardy or riddles. For me this is kind of important cause a lot of the work I use llms for is sensitive to accuracy. That's why I'm still not using any of these yet over chatgpt3.5. | 9 | 0 | 2023-04-27T15:22:56 | lemon07r | false | null | 0 | jhxgum6 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxgum6/ | false | 9 |
t1_jhxgdrw | I don't honestly know. On another model like Vicuna 7B I would say GPU would definitely win, but given the performance issues I'm not sure.
I'd say try both! | 1 | 0 | 2023-04-27T15:19:53 | The-Bloke | false | null | 0 | jhxgdrw | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxgdrw/ | false | 1 |
t1_jhxga63 | For gpu inference, basically anything cuda with 24 gb vram. So a 3090/4090+. Even used 3090 is good. This does kinda limit you to 4but 30b models unless you get a second card.
Next option is dual p40s but these are workstation cards. They're a lot cheaper but they aren't as fast as the mentioned consumer cards but yo... | 3 | 0 | 2023-04-27T15:19:13 | lemon07r | false | null | 0 | jhxga63 | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxga63/ | false | 3 |
t1_jhxg7ol | I will be d/l it. You also had the only 65b without act order which is good. | 2 | 0 | 2023-04-27T15:18:46 | a_beautiful_rhind | false | null | 0 | jhxg7ol | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhxg7ol/ | false | 2 |
t1_jhxfeul | "Two pounds of feathers and one pound of bricks weigh the same amount. It is a well-known scientific fact that the weight of an object is not determined by its volume, but by its mass. Therefore, a pound of…"
lol it's soooo slow | 3 | 0 | 2023-04-27T15:13:24 | SufficientPie | false | null | 0 | jhxfeul | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxfeul/ | false | 3 |
t1_jhxfdkx | Yeah. It seems to be the easiest to bypass censorship among more than five GGML models I've tried so far. Its sentence fluency is also remarkable, and its censorship resistance is weak, which I find highly appealing. | 3 | 0 | 2023-04-27T15:13:09 | ruryrury | false | null | 0 | jhxfdkx | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxfdkx/ | false | 3 |
t1_jhxeqio | [removed] | 1 | 0 | 2023-04-27T15:08:50 | [deleted] | true | null | 0 | jhxeqio | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxeqio/ | false | 1 |
t1_jhxengz | Try this one. I found the task in this paper: "Sparks of Artificial General Intelligence: Early experiments with GPT-4" (https://arxiv.org/abs/2303.12712).
The task is:Here we have a book, 9 eggs, a laptop, a bottle and a nail. Please tell me how to stack them onto each other in a stable manner.
## Here I cite the pa... | 7 | 0 | 2023-04-27T15:08:14 | Evening_Ad6637 | false | null | 0 | jhxengz | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxengz/ | false | 7 |
t1_jhxeis0 | Hit Backspace ( x 2) + 1 Enter key works for me almost everytime, every model. Don't know why. | 2 | 0 | 2023-04-27T15:07:22 | ruryrury | false | null | 0 | jhxeis0 | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhxeis0/ | false | 2 |
t1_jhxecyo | 4090 doesn't support NVLink | 5 | 0 | 2023-04-27T15:06:18 | DemonicPotatox | false | null | 0 | jhxecyo | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxecyo/ | false | 5 |
t1_jhxebkt | I haven’t heard that take before, thank you! Have you noticed it hallucinating more or less than the rest/ChatGPT? (Sudden Python coding notwithstanding… why does it do that I wonder 😂)
Have you experimented with System Prompts? Apparently they work great with controlling the GPT3/4 API behaviour. | 2 | 0 | 2023-04-27T15:06:02 | PM_ME_ENFP_MEMES | false | null | 0 | jhxebkt | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhxebkt/ | false | 2 |
t1_jhxdx2p | And is the VRAM on your GPU all the RAM you need to load the model? Or do you need non-VRAM RAM of equal size? | 2 | 0 | 2023-04-27T15:03:17 | bacteriarealite | false | null | 0 | jhxdx2p | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxdx2p/ | false | 2 |
t1_jhxdj4p | YES! Thank you! This is godsend. I was gathering my own data, but most of threads I scraped were quite useless (poor grammar, too short) or required a significant amount of work.
EDIT: Hehe, thinking I was scraping Role playing guild messages by hand :D :D | 2 | 0 | 2023-04-27T15:00:40 | szopen76 | false | null | 0 | jhxdj4p | false | /r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhxdj4p/ | false | 2 |
t1_jhxddaf | "Two pounds of feathers and one pound of bricks weigh the same amount. It is a well-known scientific fact that the weight of an…" | 3 | 0 | 2023-04-27T14:59:34 | SufficientPie | false | null | 0 | jhxddaf | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxddaf/ | false | 3 |
t1_jhxbuht | Ask ai | -7 | 0 | 2023-04-27T14:49:13 | probably_not_real_69 | true | null | 0 | jhxbuht | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhxbuht/ | false | -7 |
t1_jhxbpzk | I currently have a 3060 12gb and it runs many LLMs pretty fast but I want to train so I’m debating upgrading a whole new computer because a 3090 won’t fit mine or wait for the AI to get better on lower end hardware like it did for stable diffusion. | 2 | 0 | 2023-04-27T14:48:21 | watchforwaspess | false | null | 0 | jhxbpzk | false | /r/LocalLLaMA/comments/130b1ng/good_computer_spec_for_the_next_5_years_to_be/jhxbpzk/ | false | 2 |
t1_jhxbdkn | Tyty | 1 | 0 | 2023-04-27T14:45:58 | probably_not_real_69 | false | null | 0 | jhxbdkn | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxbdkn/ | false | 1 |
t1_jhxbcmm | What is the benifit of fedora other over Linux... builds? I think that is the right word.
I got to the point of trying to install Nvidea drivers and ran out of memory even though I have 1tb on the drive. I'm already in over my head but will keep learning. | 1 | 0 | 2023-04-27T14:45:47 | probably_not_real_69 | false | null | 0 | jhxbcmm | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhxbcmm/ | false | 1 |
t1_jhxaxd3 | ggml-vicuna-13b-1.1-q4_3.bin answers with: "Two pounds of feathers and one p…"
(Give me like three more hours for the rest of the sentence) | 4 | 0 | 2023-04-27T14:42:52 | SufficientPie | false | null | 0 | jhxaxd3 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxaxd3/ | false | 4 |
t1_jhxae1a | ggml-vicuna-13b-1.1-q4_2 answers with: "Two pounds of feathers weighs more than one pound of bricks." | 7 | 0 | 2023-04-27T14:39:12 | Evening_Ad6637 | false | null | 0 | jhxae1a | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhxae1a/ | false | 7 |
t1_jhx8arq | It is publicly available already. Model spec and data are published. Params they will literally give them to you when you ask. | 1 | 0 | 2023-04-27T14:24:47 | Faintly_glowing_fish | false | null | 0 | jhx8arq | false | /r/LocalLLaMA/comments/1303g6t/why_hasnt_meta_made_llama_open_source/jhx8arq/ | false | 1 |
t1_jhx805g | have you tried openassistant 30b llama ? | 2 | 0 | 2023-04-27T14:22:44 | [deleted] | false | null | 0 | jhx805g | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhx805g/ | false | 2 |
t1_jhx7nfw | I tested this several times using llama.cpp with ggml-wizardlm-7b-q8\_0.bin, and found that it sometimes gave the right answer, but not consistently. | 1 | 0 | 2023-04-27T14:20:16 | myeolinmalchi | false | null | 0 | jhx7nfw | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhx7nfw/ | false | 1 |
t1_jhx79rx | I wonder if I were to take the time to learn how to implement all this in python, might it be possible to train only on completing responses? I'm a noob but my intuition is saying it would (1) be easier to learn and (2) confuse concepts less, as learning what instruction follows the response is totally unwanted knowle... | 1 | 0 | 2023-04-27T14:17:37 | phree_radical | false | null | 0 | jhx79rx | false | /r/LocalLLaMA/comments/1306h08/questions_about_common_finetuning_data_formats/jhx79rx/ | false | 1 |
t1_jhx6i8n | That's what I was thinking, but now I don't have time :( | 1 | 0 | 2023-04-27T14:12:11 | ljubarskij | false | null | 0 | jhx6i8n | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jhx6i8n/ | false | 1 |
t1_jhx66ja | I'm not seeing explicit support for that in the ggml repo, but what I am seeing different between the code for stablelm, gpt-j, and llama, seems to be hard-coded parameters like the vocab size. Looking at the documentation for OPT on HuggingFace, I think it would be pretty doable. | 1 | 0 | 2023-04-27T14:09:54 | Oeathus | false | null | 0 | jhx66ja | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhx66ja/ | false | 1 |
t1_jhx5ul3 | I think the memory frequency is not important, but the size does. Usually people suggest to get twice size of the VRAM. Technically, if you just want to run the LLM on CPU, you can quantized to 4 bits which doesn't require lots of memory. Based on this repo: [https://github.com/ggerganov/llama.cpp#memorydisk-requiremen... | 2 | 0 | 2023-04-27T14:07:33 | ericytt | false | 2023-04-27T14:15:32 | 0 | jhx5ul3 | false | /r/LocalLLaMA/comments/130mscm/what_cpumemory/jhx5ul3/ | false | 2 |
t1_jhx57s3 | Yep, you can try it yourself on [chat.libertai.io](https://chat.libertai.io) (make sure you select Wizard 7B on top right model selector), they've deployed it on a decentralized cloud. | 2 | 0 | 2023-04-27T14:02:59 | jon101285 | false | null | 0 | jhx57s3 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhx57s3/ | false | 2 |
t1_jhx4yh7 | Wait, for real? That’s impressive | 5 | 0 | 2023-04-27T14:01:07 | Faintly_glowing_fish | false | null | 0 | jhx4yh7 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhx4yh7/ | false | 5 |
t1_jhx3sj0 | >David has three sisters. Each of them have one brother. How many brothers does David have?
Wizard 7B answers "David has zero brothers." | 4 | 0 | 2023-04-27T13:52:40 | jon101285 | false | null | 0 | jhx3sj0 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhx3sj0/ | false | 4 |
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