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_jhv8ijm | Intuitively it seems that a model that works with specific and selected information instead of raw data can obtain great performance, who knows if in the future we will be able to have a model with a few parameters that knows how to use an encyclopedia to synthesize answers instead of contain everything in knowledge in... | 3 | 0 | 2023-04-27T01:59:49 | hwpoison | false | null | 0 | jhv8ijm | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhv8ijm/ | false | 3 |
t1_jhv8a5j | There are some interesting comparisons to the native WizardLM, and people seem to see it performing better than vicuna 13b on math and long form/complex. I think this lora slightly worse than the native wizardLM, I could have missed a lot on the training parameters, that was kind of a shot in the dark from what was rep... | 4 | 0 | 2023-04-27T01:58:07 | wind_dude | false | null | 0 | jhv8a5j | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhv8a5j/ | false | 4 |
t1_jhv82vb | Is it a lora extract out of the WizardLM model? | 2 | 0 | 2023-04-27T01:56:37 | Shir_man | false | null | 0 | jhv82vb | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhv82vb/ | false | 2 |
t1_jhv7wdf | Anything else. It's censored AF. | -1 | 0 | 2023-04-27T01:55:17 | a_beautiful_rhind | false | null | 0 | jhv7wdf | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhv7wdf/ | false | -1 |
t1_jhv70u7 | Are you running this installed on the hardware or inside docker containers? If docker containers what is your underlying host? And if you're underlying hostess Linux, can you please give me the docker file you used to create The text generation because I'm still trying to get that working. | 2 | 0 | 2023-04-27T01:48:53 | phocuser | false | null | 0 | jhv70u7 | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhv70u7/ | false | 2 |
t1_jhv6981 | Wouldn't the answer be 1? David is their only brother, but he still counts as 1? | 2 | 1 | 2023-04-27T01:43:13 | ThePseudoMcCoy | false | null | 0 | jhv6981 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv6981/ | false | 2 |
t1_jhv63cp | Awesome. I have decided to make WizardLM 7B as my fine tune model in the next run. | 1 | 0 | 2023-04-27T01:42:02 | Worth-Barnacle-7539 | false | null | 0 | jhv63cp | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv63cp/ | false | 1 |
t1_jhv5z0c | Thanks for the links, appreciate the info. What about OPT is it supported in any way? | 2 | 0 | 2023-04-27T01:41:08 | Rogerooo | false | 2023-04-27T02:58:43 | 0 | jhv5z0c | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhv5z0c/ | false | 2 |
t1_jhv5xug | My default character answered correctly:
>Four. The correct answer is four. However, I must clarify that the question you asked was not related to my capabilities or programming. Is there anything else I can assist you with? | 2 | 0 | 2023-04-27T01:40:53 | ThePseudoMcCoy | false | null | 0 | jhv5xug | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv5xug/ | false | 2 |
t1_jhv5vup | Wait how did it stack up against the fully fine tuned model? Are there any metrics to look at?
If so that is awesome news.
Does that mean I can potentially LoRA it on 13b vicuna or a 30b model and make it super? | 11 | 0 | 2023-04-27T01:40:29 | Faintly_glowing_fish | false | null | 0 | jhv5vup | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhv5vup/ | false | 11 |
t1_jhv57ga | See if the standalone llama.cpp freezes as well and then open an issue there. If upstream works as expected open the issue at text generation webui. | 2 | 0 | 2023-04-27T01:35:31 | umtausch | false | null | 0 | jhv57ga | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv57ga/ | false | 2 |
t1_jhv44zx | I thought about it but I wanted to ask for opinions on /r/LocalLLaMA first because I wouldn't know which repository to open an issue in.. would it be an issue with text-generation-webui? or maybe llama.cpp or maybe its the language model that's causing the issue.
Just looking for some opinions and insights first. | 1 | 0 | 2023-04-27T01:27:50 | Poopasite1 | false | null | 0 | jhv44zx | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv44zx/ | false | 1 |
t1_jhv42d3 | Nabbing that one too! I'll try to get to 50 questions or so. | 3 | 0 | 2023-04-27T01:27:18 | YearZero | false | null | 0 | jhv42d3 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv42d3/ | false | 3 |
t1_jhv3to7 | [removed] | 1 | 0 | 2023-04-27T01:25:35 | [deleted] | true | null | 0 | jhv3to7 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv3to7/ | false | 1 |
t1_jhv3s82 | Why not open an issue at the GitHub issue tracker where it belongs? | 3 | 0 | 2023-04-27T01:25:19 | umtausch | false | null | 0 | jhv3s82 | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv3s82/ | false | 3 |
t1_jhv30ng | Nice. Probably the same thing I observed with open assistant. Those small models sometimes are surprisingly good but inconsistent. | 1 | 0 | 2023-04-27T01:19:54 | UseNew5079 | false | null | 0 | jhv30ng | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv30ng/ | false | 1 |
t1_jhv2thl | I have a AMD YD299XAZAFWOF Ryzen Threadripper 2990WX Processor it runs like shit you nee d GPUs or you are waiting forever | 1 | 0 | 2023-04-27T01:18:26 | Gullible_Bar_284 | false | null | 0 | jhv2thl | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhv2thl/ | false | 1 |
t1_jhv2ro5 | I think many of us are fantasizing about a super capable offline coding model, so it's more just to see how close we are to that, rather than actually using it for much coding in its current state. | 3 | 0 | 2023-04-27T01:18:04 | ThePseudoMcCoy | false | null | 0 | jhv2ro5 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhv2ro5/ | false | 3 |
t1_jhv2mme | Exactly! | 1 | 0 | 2023-04-27T01:17:02 | [deleted] | false | null | 0 | jhv2mme | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv2mme/ | false | 1 |
t1_jhv2kkd | Yes it is a very hard one that I have been testing every version with! That and the other question about half age (A’s brother was half her age when she was 6 how old is her brother when she’s 42) which now GPT4 can get right so I stopped testing it | 3 | 0 | 2023-04-27T01:16:37 | Faintly_glowing_fish | false | null | 0 | jhv2kkd | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv2kkd/ | false | 3 |
t1_jhv2f1b | It is such a frustrating bug. Can't find much info about it on the same bug on github or huggingface either.. | 3 | 0 | 2023-04-27T01:15:29 | Poopasite1 | false | null | 0 | jhv2f1b | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv2f1b/ | false | 3 |
t1_jhv2752 | I think it is wizardlm. Based on their promising evol algorithm, I believe it have a higher upper limit. | 0 | 0 | 2023-04-27T01:13:51 | Confident-Ad-5753 | false | null | 0 | jhv2752 | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhv2752/ | false | 0 |
t1_jhv26xb | You should switch your first and second reason around. Linux failed on desktop primarily due to its real/perceived lack of user unfriendliness. What it will take to solve this is not stopping advanced users from nerding out but someone with the budget and time to make a simple LLMs for dummies package with all the nece... | 1 | 0 | 2023-04-27T01:13:48 | cyborgsnowflake | false | null | 0 | jhv26xb | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhv26xb/ | false | 1 |
t1_jhv268x | Has been happening to me for many versions now. I've always wondered when it will finally be fixed and/or stop happening. | 5 | 0 | 2023-04-27T01:13:41 | [deleted] | false | null | 0 | jhv268x | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhv268x/ | false | 5 |
t1_jhv24h6 | Ok added! Just to be sure - the answer is 0 brothers right? GPT-4 says 1 brother | 8 | 0 | 2023-04-27T01:13:19 | YearZero | false | null | 0 | jhv24h6 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv24h6/ | false | 8 |
t1_jhv1pxz | After running llama 65b vs 13b vs 7b I can say that each parameter increase leads to more quality. One can assume it has diminishing returns. There was a recent graph showing the differences using jeopardy problems, scoring them by correct answers, and 65b way out performs 13b both under alpaca lora. I'm hoping that so... | 8 | 0 | 2023-04-27T01:10:19 | pearax | false | null | 0 | jhv1pxz | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhv1pxz/ | false | 8 |
t1_jhv1oux | Surprisingly, the new WizardLM answered this right on the first go!
edit: well that was a fluke.. couldn't get it to answer correctly again | 1 | 0 | 2023-04-27T01:10:07 | Poopasite1 | false | 2023-04-27T01:13:16 | 0 | jhv1oux | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv1oux/ | false | 1 |
t1_jhv1f25 | Thanks, solid job! | 2 | 0 | 2023-04-27T01:08:07 | Confident-Ad-5753 | false | null | 0 | jhv1f25 | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhv1f25/ | false | 2 |
t1_jhv14sm | can someone share the 4-bit ggml weights please | 1 | 0 | 2023-04-27T01:06:02 | RemarkableCapital431 | false | null | 0 | jhv14sm | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jhv14sm/ | false | 1 |
t1_jhv0y2y | What are you doing man? We are discussing open source technology now. | 11 | 0 | 2023-04-27T01:04:41 | Confident-Ad-5753 | false | null | 0 | jhv0y2y | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhv0y2y/ | false | 11 |
t1_jhv0tfn | David has three sisters. Each of them have one brother. How many brothers does David have? | 12 | 0 | 2023-04-27T01:03:42 | Faintly_glowing_fish | false | null | 0 | jhv0tfn | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhv0tfn/ | false | 12 |
t1_jhuzyyd | Hello Mr. Yun Seok-yeol, indeed! Korean should stop stolen lands from the US too. please give back lands to US army and ports to nuclear subs. you are giving to much money and too many islands too Japan instead of to the US. Do a better job or CIA will help you to do so | -1 | 0 | 2023-04-27T00:57:28 | sigma1331 | false | 2023-04-27T11:08:41 | 0 | jhuzyyd | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhuzyyd/ | false | -1 |
t1_jhuzv6d | I had oobabooga running and vicuna on my windows machine but as I try to add others I am encountering errors on triton, apparently it is not windows compatible.
Now I am looking into virtual machine and running linux... is this what most people are doing? | 1 | 0 | 2023-04-27T00:56:41 | probably_not_real_69 | false | null | 0 | jhuzv6d | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhuzv6d/ | false | 1 |
t1_jhuzoln | what is better than vicuna though | 1 | 0 | 2023-04-27T00:55:19 | dont_forget_canada | false | null | 0 | jhuzoln | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhuzoln/ | false | 1 |
t1_jhuze2c | This worked great with LLaMa 7B HF in ooba (Win 10 OS). Currently using 14.7GB of vRAM and generating at 5.92 tokens/s on a P6000 card. Well done and thank you! | 5 | 0 | 2023-04-27T00:53:08 | monkmartinez | false | null | 0 | jhuze2c | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhuze2c/ | false | 5 |
t1_jhuz02y | Yeah I was pretty disappointed with how expensive it was to get 256+ GB of memory in a desktop form factor. Then again it’s also disappointing that we can’t get a GPU with current performance levels and 48+ GB memory without having to step up to a 3-10x price increase, given that that 1080ti had 11.2GB 5 years ago. | 8 | 0 | 2023-04-27T00:50:20 | LetMeGuessYourAlts | false | null | 0 | jhuz02y | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuz02y/ | false | 8 |
t1_jhuyj74 | I think any local model being able to answer anything that ChatGPT can't is a milestone. I know that WizardLM had testers vote whose answer they prefer, and often landed on Wizard, but I really like when it's not a matter of opinion but correctness, so that is really cool | 4 | 0 | 2023-04-27T00:46:52 | YearZero | false | null | 0 | jhuyj74 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuyj74/ | false | 4 |
t1_jhuxij6 | GPT-3.5 sometimes responded that this must be a mythical creature and seemed angry that I'm asking so impossible question. I think I've seen response with Llama born with 3 legs but I don't remember which one said that. | 5 | 0 | 2023-04-27T00:39:26 | UseNew5079 | false | null | 0 | jhuxij6 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuxij6/ | false | 5 |
t1_jhuwsfq | Yeah, I thought so. I'm more curious about TR than EPYC, but it's just idle curiosity. It's too expensive and is sort of a second-class platform judging by how AMD treats it. | 1 | 0 | 2023-04-27T00:34:02 | fimbulvntr | false | null | 0 | jhuwsfq | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuwsfq/ | false | 1 |
t1_jhuvg1u | As a Human, I am struggling with the question too lol. I feel like this is an ambiguous question, the llama could have been born with three legs, or maybe it has three legs because it lost one. | 12 | 0 | 2023-04-27T00:24:00 | 2muchnet42day | false | null | 0 | jhuvg1u | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuvg1u/ | false | 12 |
t1_jhuv8kr | Thank you very much for these tests. I think this is the kind of tests that we need more of.
I would like to see more logic tests, specially if the problems are original, as this is better for zero shot testing as some of the models may be already finetuned on some of these problems. | 5 | 0 | 2023-04-27T00:22:28 | 2muchnet42day | false | null | 0 | jhuv8kr | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuv8kr/ | false | 5 |
t1_jhuv1lw | Is the full size version of this model FP32? It's really big for a 7b. | 1 | 0 | 2023-04-27T00:21:03 | a_beautiful_rhind | false | null | 0 | jhuv1lw | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhuv1lw/ | false | 1 |
t1_jhuukh0 | It's very strange to me that Open Assistant was able to give the correct answer even once when GPT-3.5 fails always. This can be something inherent to GPT architecture or maybe a matter of correct settings. | 2 | 0 | 2023-04-27T00:17:29 | UseNew5079 | false | null | 0 | jhuukh0 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuukh0/ | false | 2 |
t1_jhuud9s | Ah, I have not seen that glitch and not sure on the cache thing. | 1 | 0 | 2023-04-27T00:15:59 | ThePseudoMcCoy | false | null | 0 | jhuud9s | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhuud9s/ | false | 1 |
t1_jhuuch3 | Oh it’s not a Threadripper, it’s an EPYC. This isn’t consumer hardware. We do large scale compute for our customers and we can’t roll with consumer hardware. | 1 | 0 | 2023-04-27T00:15:49 | AemonAlgizVideos | false | null | 0 | jhuuch3 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuuch3/ | false | 1 |
t1_jhuu9ey | I'm curious to see how a threadripper would perform, but they're impossible to rent on the cloud and are very rare on the wild, too.
Also, they're so expensive that for the price of a top-of-the-line TR, you can get 3 4090s, so they don't make sense.
I mean maybe if you wanted to run the LLaMA 546B model locally, you... | 1 | 0 | 2023-04-27T00:15:11 | fimbulvntr | false | null | 0 | jhuu9ey | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuu9ey/ | false | 1 |
t1_jhuu8pp | Even better would be bigger with high quality data. | 14 | 0 | 2023-04-27T00:15:02 | wind_dude | false | null | 0 | jhuu8pp | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuu8pp/ | false | 14 |
t1_jhuu8iq | What settings are you using in terms of context, token generation, temps. I have the same gpu and trying to find good models to use. I've been using primary 7b models. Not sure if I should be doing 8but or 4bit. The 13b models I've used run out of memory eventually | 1 | 0 | 2023-04-27T00:15:00 | greatkaney | false | null | 0 | jhuu8iq | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhuu8iq/ | false | 1 |
t1_jhutvji | I might have phrased the question wrongly. It is utilizing my CPU to about 50-60% but my RAM is definitely above whats required. Also, the command prompt is not actually frozen. I've attached an [image](https://i.imgur.com/0wvNHiZ.png) to show you what I mean. The token/s can a lot. But the main issue is that it takes ... | 3 | 0 | 2023-04-27T00:12:18 | Poopasite1 | false | null | 0 | jhutvji | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhutvji/ | false | 3 |
t1_jhutng1 | I would imagine at some point we'll start to see very large pretrained models for sale, at prices that reflect the relatively large cost of training, but spreading that cost across many customers. It'll likely be expensive enterprise software, but that category already includes things like CAD suites that companies are... | 1 | 0 | 2023-04-27T00:10:38 | ReturningTarzan | false | null | 0 | jhutng1 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhutng1/ | false | 1 |
t1_jhutj4m | Larger models show emergent abilities which are not seen in the training corpus and [not well understood yet](https://twitter.com/TheRioTimes/status/1648779413016723456).
https://en.wikipedia.org/wiki/Large_language_model
> While it is generally the case that performance of large models on various tasks can be extrap... | 6 | 0 | 2023-04-27T00:09:45 | Specialist_Cheetah20 | false | null | 0 | jhutj4m | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhutj4m/ | false | 6 |
t1_jhutemq | Yeah that's probably it. It's a shame | 8 | 0 | 2023-04-27T00:08:50 | hurrytewer | false | null | 0 | jhutemq | false | /r/LocalLLaMA/comments/1303g6t/why_hasnt_meta_made_llama_open_source/jhutemq/ | false | 8 |
t1_jhutbu1 | Yea.. the hosting too. | 4 | 0 | 2023-04-27T00:08:17 | a_beautiful_rhind | false | null | 0 | jhutbu1 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhutbu1/ | false | 4 |
t1_jhut8zs | I notice on other 7B models that are fast, my process sticks on consistent GPU-Copy in Windows task manager, and doesn't turn off, generation completes quickly.
For the WizardLM model it pops up GPU-Copy for a split second and goes off, and does that intermittently for a split second at a time until done generating (... | 1 | 0 | 2023-04-27T00:07:42 | skatardude10 | false | null | 0 | jhut8zs | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhut8zs/ | false | 1 |
t1_jhusyw1 | I think it's pretty clear that they are not against it spreading (remember the torrent in the PR in the llama repository?) but they are not releasing it more globally as to not be blamed for bad actors using it I guess | 25 | 0 | 2023-04-27T00:05:40 | reddiling | false | null | 0 | jhusyw1 | false | /r/LocalLLaMA/comments/1303g6t/why_hasnt_meta_made_llama_open_source/jhusyw1/ | false | 25 |
t1_jhus8xj | If you move the window aroune or click on it on accident sometimes that can pause the updates on the command prompt (for any program) so you might want to click into it and then press a key like the down arrow to get it to resume. | 2 | 0 | 2023-04-27T00:00:12 | ThePseudoMcCoy | false | null | 0 | jhus8xj | false | /r/LocalLLaMA/comments/1303ay8/models_freeze_after_awhile_running_llamacpp/jhus8xj/ | false | 2 |
t1_jhus7fu | Seeing how LLaMA weights leaked, I'm not even sure they will ever release them lol | 10 | 0 | 2023-04-26T23:59:54 | 2muchnet42day | false | null | 0 | jhus7fu | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhus7fu/ | false | 10 |
t1_jhus5ti | I believe it's because they don't see letters but tokens, so only numbers. I think they struggle when you specify words that end in a letter too. Maybe tokenizing more granularly would help that or something. | 7 | 0 | 2023-04-26T23:59:34 | YearZero | false | null | 0 | jhus5ti | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhus5ti/ | false | 7 |
t1_jhurw68 | 15 | 0 | 2023-04-26T23:57:33 | disarmyouwitha | false | null | 0 | jhurw68 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhurw68/ | false | 15 | |
t1_jhurpo7 | Here's what I had on 13B with 11400f and AVX512 now.
llama_print_timings: load time = 2244.59 ms
llama_print_timings: sample time = 74.03 ms / 82 runs ( 0.90 ms per run)
llama_print_timings: prompt eval time = 1798.16 ms / 8 tokens ( 224.77 ms per token)
llama_print_timings: eval t... | 3 | 0 | 2023-04-26T23:56:09 | ThatLastPut | false | null | 0 | jhurpo7 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhurpo7/ | false | 3 |
t1_jhurgt7 | That's a great one, I added it to my list. I think being answerable by GPT-4 (or 3.5) is a good metric for adding something to the list. It gives a bar for local LLM's to strive for. | 3 | 0 | 2023-04-26T23:54:15 | YearZero | false | null | 0 | jhurgt7 | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhurgt7/ | false | 3 |
t1_jhurcuf | I do have a fairly monstrous machine I could try to run the inference on. It’s a 128 thread/64 core AMD server for my home cloud (read as: I use my company’s servers for stuff when they’re not being used for customers) | 1 | 0 | 2023-04-26T23:53:25 | AemonAlgizVideos | false | 2023-04-26T23:59:49 | 0 | jhurcuf | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhurcuf/ | false | 1 |
t1_jhurcq7 | 20T?! And we thought 1.4T was a lot?! | 2 | 0 | 2023-04-26T23:53:24 | 2muchnet42day | false | null | 0 | jhurcq7 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhurcq7/ | false | 2 |
t1_jhura0o | Thanks! I’ve been doing all my LLM stuff on 3090’s so far but I’m starting to wonder if I could run a couple models on CPU, too. I’d like to have 4-5 different models with different capabilities and training data online at once so they could talk to each other, and since llama-30b takes a whole 3090, running somethin... | 2 | 0 | 2023-04-26T23:52:50 | tronathan | false | null | 0 | jhura0o | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhura0o/ | false | 2 |
t1_jhur1g6 | Oddly enough mtest results in worse performance at least for me, at 1.9 tokens/second. | 1 | 0 | 2023-04-26T23:51:03 | AemonAlgizVideos | false | null | 0 | jhur1g6 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhur1g6/ | false | 1 |
t1_jhuqz5o | Another test that is extremely hard even for GPT-4 is Caesar's cipher ([https://cryptii.com/pipes/caesar-cipher](https://cryptii.com/pipes/caesar-cipher)). Everything fails that. | 1 | 0 | 2023-04-26T23:50:35 | UseNew5079 | false | null | 0 | jhuqz5o | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuqz5o/ | false | 1 |
t1_jhuqufl | It seems this task is not very sensitive to cache, and also although it seems to make use of as many cores as you can throw at it, it doesn't scale efficiently (-t 8 is like 80% of the performance of -t 16)
Don't think the ssd makes any difference except for model load speed (and if you run out of ram and start having... | 1 | 0 | 2023-04-26T23:49:35 | fimbulvntr | false | 2023-04-26T23:53:43 | 0 | jhuqufl | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuqufl/ | false | 1 |
t1_jhuqsks | I've found one question that seems very hard for everything except GPT-4 and Claude: "How many legs did a three-legged llama have before it lost one leg?"
GPT-3.5 consistently give a wrong response. With OpenAssistant i've seen correct response once or twice. Everything else i've checked fails this test. | 7 | 0 | 2023-04-26T23:49:11 | UseNew5079 | false | null | 0 | jhuqsks | false | /r/LocalLLaMA/comments/1302il2/riddlecleverness_comparison_of_popular_ggml_models/jhuqsks/ | false | 7 |
t1_jhuqjim | Although, oddly enough, with mtest I get lower results at 1.9 tokens/second. | 1 | 0 | 2023-04-26T23:47:19 | AemonAlgizVideos | false | null | 0 | jhuqjim | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuqjim/ | false | 1 |
t1_jhuq5wq | Uncensored vs censored needs to be added to this question | 23 | 0 | 2023-04-26T23:44:26 | Gullible_Bar_284 | false | null | 0 | jhuq5wq | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhuq5wq/ | false | 23 |
t1_jhupf98 | I’m running Windows 11 and I’m not using WSL2.
Hardware:
AMD 7950X - No Overclock
64 gigs of RAM @ 5200 MHz
Gen 4 SSD 2TB
NVidia RTX 4080 (Makes no difference here)
Though there are some benchmarks that indicate the 3D does underperform compared to the non-3D in some multi-core tasks. I’m not sure if that would b... | 1 | 0 | 2023-04-26T23:38:50 | AemonAlgizVideos | false | 2023-04-26T23:44:12 | 0 | jhupf98 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhupf98/ | false | 1 |
t1_jhup7av | Will this 20B model run on RTX 4090? | 1 | 0 | 2023-04-26T23:37:10 | responseAIbot | false | null | 0 | jhup7av | false | /r/LocalLLaMA/comments/12vzjti/new_fully_open_source_model_h2ogpt_20b_based_on/jhup7av/ | false | 1 |
t1_jhuoz4a | Well, I only ran the 65b model, so I can't comment on the 30B and 13b (they run on my 4090 anyways, so there's no point running them on CPU)
I get 600ms/token, so that's 1.6 tokens/second... that's with avx512 and `-t 16` and the q4_3 model. That's on Windows. You're not on Linux or WSL by chance, are you?
Also this... | 2 | 0 | 2023-04-26T23:35:27 | fimbulvntr | false | null | 0 | jhuoz4a | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuoz4a/ | false | 2 |
t1_jhuo4gu | So, 16 threads I’m seeing an average of ~2.1 tokens/second on the 65B parameter model. This seems to scale with what I’m seeing from the 30B at 4-5 tokens/second and the 13B with 7-10 tokens/second. Does this align with your results as well? | 2 | 0 | 2023-04-26T23:28:58 | AemonAlgizVideos | false | null | 0 | jhuo4gu | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuo4gu/ | false | 2 |
t1_jhumz07 | I am getting about 1100ms/token with AVX512, VBMI and VNNI enabled on Intel 11400F with llama 65b with Windows without WSL. https://pastebin.com/MHtsYXrP. So, in my case going from AVX2 to AVX512 cut the prompt eval time a lot and output generation time a little, overall 20% faster than avx2. | 2 | 0 | 2023-04-26T23:20:19 | ThatLastPut | false | null | 0 | jhumz07 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhumz07/ | false | 2 |
t1_jhumb9y | AVX512 does improve performance on Windows on my 11400f. No WSL. https://pastebin.com/MHtsYXrP. I have all the binaries on hand if you care, now I am running a newer compilation tho. | 1 | 0 | 2023-04-26T23:15:15 | ThatLastPut | false | null | 0 | jhumb9y | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhumb9y/ | false | 1 |
t1_jhum05m | You can get newer modern workstation motherboards that will handle those server RAM sticks and Xeons. Some even have NVME onboard. It is a way to ditch the noise, size and power suck of those rack servers. The motherboards will cost as much as the used server tho. | 8 | 0 | 2023-04-26T23:12:51 | aigoopy | false | null | 0 | jhum05m | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhum05m/ | false | 8 |
t1_jhultqi | Doesn't do us any good, they didn't release the weights. | 10 | 0 | 2023-04-26T23:11:29 | a_beautiful_rhind | false | null | 0 | jhultqi | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhultqi/ | false | 10 |
t1_jhulg9u | \~13400mb of vram
\~7800mb of vram in 8bit | 2 | 0 | 2023-04-26T23:08:37 | wind_dude | false | null | 0 | jhulg9u | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhulg9u/ | false | 2 |
t1_jhulg0x | You have to load the model into ram before it goes into vram. | 1 | 0 | 2023-04-26T23:08:34 | a_beautiful_rhind | false | null | 0 | jhulg0x | false | /r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhulg0x/ | false | 1 |
t1_jhuk7fg | This wonderful human here:
[https://github.com/ggerganov](https://github.com/ggerganov)
In the [https://github.com/ggerganov/ggml](https://github.com/ggerganov/ggml) repo, specifically the examples folder: [https://github.com/ggerganov/ggml/tree/master/examples](https://github.com/ggerganov/ggml/tree/master/examp... | 3 | 0 | 2023-04-26T22:59:01 | Oeathus | false | null | 0 | jhuk7fg | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhuk7fg/ | false | 3 |
t1_jhujzwr | Avoid llama-based models unless you are experimenting or into underlying proprietary novelty. | 1 | 1 | 2023-04-26T22:57:23 | Thinktoom | false | null | 0 | jhujzwr | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhujzwr/ | false | 1 |
t1_jhujmx5 | Metal Performance Shaders (MPS), it's related to the Apple Silicon chip and their dedicated Machine Learning cores. It would probably be awesome if it weren't for the CPU itself being more awesome and just housing through everything I've thrown at it quite literally without breaking a sweat. Really a beautiful piece of... | 1 | 0 | 2023-04-26T22:54:36 | Oeathus | false | null | 0 | jhujmx5 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhujmx5/ | false | 1 |
t1_jhujfx3 | [removed] | 2 | 0 | 2023-04-26T22:53:10 | [deleted] | true | null | 0 | jhujfx3 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhujfx3/ | false | 2 |
t1_jhuj506 | There's so many unresolved legal questions on machine learning and model weights that this licensing doesn't really have an answer yet. I would assume that llama model's license applies to them all maybe. Or maybe they must be patented rather than copyrighted. | 2 | 0 | 2023-04-26T22:50:52 | ninjasaid13 | false | null | 0 | jhuj506 | false | /r/LocalLLaMA/comments/1301nmj/licence_of_the_llm_models/jhuj506/ | false | 2 |
t1_jhuith4 | That's true. There was just a lot of excitement this morning as people tried WizardLM and subjectively felt it was competing with Vicuna 13B.
But as you say it's a top 7B and that's impressive in its own right. | 3 | 0 | 2023-04-26T22:48:25 | The-Bloke | false | null | 0 | jhuith4 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhuith4/ | false | 3 |
t1_jhuin5u | These 5bit methods are for llama.cpp CPU inference, so GPU performance is immaterial and only RAM usage and CPU inference speed are affected. | 1 | 0 | 2023-04-26T22:47:04 | The-Bloke | false | null | 0 | jhuin5u | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhuin5u/ | false | 1 |
t1_jhuikpz | Thanks for the heads-up! I've released q5\_0 and q5\_1 versions of WizardLM into [https://huggingface.co/TheBloke/wizardLM-7B-GGML](https://huggingface.co/TheBloke/wizardLM-7B-GGML) | 2 | 0 | 2023-04-26T22:46:31 | The-Bloke | false | null | 0 | jhuikpz | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhuikpz/ | false | 2 |
t1_jhuib3x | llama.cpp just introduced new 5bit quantisation methods, q5\_0 and q5\_1.
I have quantised WizardLM into these new formats and they're available now at [https://huggingface.co/TheBloke/wizardLM-7B-GGML](https://huggingface.co/TheBloke/wizardLM-7B-GGML)
Naturally these new methods will only work with the latest llama.... | 5 | 0 | 2023-04-26T22:44:26 | The-Bloke | false | null | 0 | jhuib3x | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhuib3x/ | false | 5 |
t1_jhui4c5 | "All I want is a single file that I can install, supplied with a decent copyright-free model."
Thats not how Open-Source can work or imho should work. Nobody cares what you want. If you don't contribute something (and yes mostly code) you are irrelevant to the space. We already have so much knowledge at our fingertips... | 1 | 0 | 2023-04-26T22:42:58 | Short-Peanut1079 | false | null | 0 | jhui4c5 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhui4c5/ | false | 1 |
t1_jhuhk8l | No, it is based on llama-7b. The method used to train it could be applied to open source models though. | 5 | 0 | 2023-04-26T22:38:39 | rainy_moon_bear | false | null | 0 | jhuhk8l | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhuhk8l/ | false | 5 |
t1_jhuhedb | >WizardLM-7B
Is WizardLM-7B allowed for commercial use?
Btw there seems to be different variants of the WizardLM-7B which one would you consider the best? | 2 | 0 | 2023-04-26T22:37:24 | mr_house7 | false | null | 0 | jhuhedb | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhuhedb/ | false | 2 |
t1_jhugmr2 | Any idea if 7bQ5 fits on a 6 gig card like a 7bQ4 can? | 1 | 0 | 2023-04-26T22:31:33 | GiveSparklyTwinkly | false | null | 0 | jhugmr2 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhugmr2/ | false | 1 |
t1_jhug6i7 | MPS? | 2 | 0 | 2023-04-26T22:28:03 | tronathan | false | null | 0 | jhug6i7 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jhug6i7/ | false | 2 |
t1_jhug3j0 | Vicuna, Wizard is smart.
LLaVa does images. | 4 | 0 | 2023-04-26T22:27:25 | jetro30087 | false | null | 0 | jhug3j0 | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhug3j0/ | false | 4 |
t1_jhufyru | >MetalX/GPT4-x-alpaca 30b model
I tried this model, it is good, but it believes the year is 2018 and I can not change this!?!? | 1 | 0 | 2023-04-26T22:26:25 | Causticspit | false | null | 0 | jhufyru | false | /r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhufyru/ | false | 1 |
t1_jhufwtt | Yes and no. LLaMA models have proven that many models are undertrained and that smaller llms can beat bigger ones.
But on the other hand, emergent abilities are present on bigger models, so a big llm with enough training will still be better | 44 | 0 | 2023-04-26T22:26:00 | 2muchnet42day | false | null | 0 | jhufwtt | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhufwtt/ | false | 44 |
t1_jhuf7i6 | Even if someone got the thing running, the base models weren’t super impressive until fine-tuned. We might have to start a donation bucket for whoever tries that since that process requires a multiple of the memory required for just querying it. | 6 | 0 | 2023-04-26T22:20:48 | LetMeGuessYourAlts | false | null | 0 | jhuf7i6 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuf7i6/ | false | 6 |
t1_jhueubh | This thread should be pinned or reposted once a week, or something. There’s a bit of “it depends” in the answer, but as of a few days ago, I’m using gpt-x-llama-30b for most thjngs. I rub 4 bit, no groupsize, and it fits in a 24GB vram with full 2048 context.
Context is a big limiting factor for me, and StableLM just... | 44 | 0 | 2023-04-26T22:18:01 | tronathan | false | null | 0 | jhueubh | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhueubh/ | false | 44 |
t1_jhuepeo | Do I have to have enough vram to load both at the same time? | 3 | 0 | 2023-04-26T22:17:00 | DeylanQuel | false | null | 0 | jhuepeo | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jhuepeo/ | false | 3 |
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