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_jhuemfv | Thanks, yeah I just remembered that too. I hope someone tries this huge model now, I wonder how good it is? | 3 | 0 | 2023-04-26T22:16:24 | PM_ME_ENFP_MEMES | false | null | 0 | jhuemfv | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuemfv/ | false | 3 |
t1_jhueloy | Those are lower parameter models. OP is specifically asking about a model that’s nearly 10x the size of the 65B model.
But to your point, the results might not be worth the ridiculous setup you’d need. We’ll have to wait and see. | 8 | 0 | 2023-04-26T22:16:14 | LetMeGuessYourAlts | false | null | 0 | jhueloy | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhueloy/ | false | 8 |
t1_jhueew5 | You can try with an actual prompt or with `--mtest`. I did both. I also had to `-t 16` because it was defaulting to 4 threads.
The llama.cpp repo has precompiled avx512 binaries in the releases section if you don't want to bother with cmake, I was using the latest release from today
Also important to note, I used th... | 1 | 0 | 2023-04-26T22:14:49 | fimbulvntr | false | 2023-04-26T22:19:28 | 0 | jhueew5 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhueew5/ | false | 1 |
t1_jhuebgf | That’s regular system memory. You’d have to use one of the CPU-only methods. | 7 | 0 | 2023-04-26T22:14:07 | LetMeGuessYourAlts | false | null | 0 | jhuebgf | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuebgf/ | false | 7 |
t1_jhue2z9 | I’m pulling down the alpaca-Lora-65B-GGML 4-bit from TheBloke. | 2 | 0 | 2023-04-26T22:12:22 | AemonAlgizVideos | false | null | 0 | jhue2z9 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhue2z9/ | false | 2 |
t1_jhue2sy | Pretty sure I can already do this with vicuna and a 400$ 3060. | 4 | 0 | 2023-04-26T22:12:20 | tronathan | false | null | 0 | jhue2sy | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhue2sy/ | false | 4 |
t1_jhudtbu | Would that be VRAM? Sounds like a plan, though!
I just remembered ggml/llama.cpp doesn’t need VRAM! Regular RAM will do! | 7 | 0 | 2023-04-26T22:10:24 | PM_ME_ENFP_MEMES | false | 2023-04-26T22:15:30 | 0 | jhudtbu | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhudtbu/ | false | 7 |
t1_jhudr8l | Yeah, can't run 128gb unless you're willing to go for 4000MHz...
I'm running a 6000-capable kit, but I had to go down to 5800 because my motherboard was having trouble posting after I upgraded the bios | 1 | 0 | 2023-04-26T22:09:59 | fimbulvntr | false | null | 0 | jhudr8l | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhudr8l/ | false | 1 |
t1_jhud1wn | I do have 64 gigs! I was going to have 128 gigs but I couldn’t get my RAM overlock to be stable with it. What’s your RAM frequency? That may be a nice data point as well. I’m 5200 MHz | 2 | 0 | 2023-04-26T22:04:53 | AemonAlgizVideos | false | null | 0 | jhud1wn | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhud1wn/ | false | 2 |
t1_jhud01m | You could pick up a used virtualization server off eBay with 128-256GB memory for hundreds of dollars. It would make a lot of noise, probably be awkwardly shaped, and take a while to generate responses with the CPU, but if you hooked it into Telegram or something you could have something that texts you back faster than... | 16 | 0 | 2023-04-26T22:04:31 | LetMeGuessYourAlts | false | null | 0 | jhud01m | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhud01m/ | false | 16 |
t1_jhucxry | tbh, no idea, you just pick all this up as a general knowledge while reading 4chan. Start by googling **Local Models General** there. As for questions - yes ggml is for kobold cpp, it already supports q4\_3. Safetensors is just an option, models that many peepo use are generally safe. There is a perfomance boost, beca... | 1 | 0 | 2023-04-26T22:04:02 | LienniTa | false | null | 0 | jhucxry | false | /r/LocalLLaMA/comments/12xrl1q/lora_ggml_safetensors_hf_etc_is_there_a_glossary/jhucxry/ | false | 1 |
t1_jhucpmh | My results that I posted here are from the 3D variant, so I just need your non-3d for us to compare. They're on the 65b model tho, it needs 64gb ram | 1 | 0 | 2023-04-26T22:02:22 | fimbulvntr | false | null | 0 | jhucpmh | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhucpmh/ | false | 1 |
t1_jhuccuh | I’m not using a 3D variant unfortunately, I have the standard 7950X. Unless you do and we can compare the results. | 1 | 0 | 2023-04-26T21:59:47 | AemonAlgizVideos | false | null | 0 | jhuccuh | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuccuh/ | false | 1 |
t1_jhuc93u | Can you test the 65B model like I did so we can compare whether or not the 3D VCache does anything? | 2 | 0 | 2023-04-26T21:59:02 | fimbulvntr | false | null | 0 | jhuc93u | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhuc93u/ | false | 2 |
t1_jhuc8po | Thanks man | 1 | 0 | 2023-04-26T21:58:57 | lordM0 | false | null | 0 | jhuc8po | false | /r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhuc8po/ | false | 1 |
t1_jhubg56 | And models made for specific purposes, like writing stories, coding, etc. | 4 | 0 | 2023-04-26T21:53:17 | PauNoCuDoRedditBR | false | null | 0 | jhubg56 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhubg56/ | false | 4 |
t1_jhubbks | I’m not getting more than everyone, it seems, rather more than anyone running Intels which don’t have AVX512. I have seen other people with AMD’s reporting similar speeds to what I am.
Though, my intuition of the tokens per second WAS an exaggeration I apologize for that. I’m closer to 6-8 tokens/second sometimes hitt... | 1 | 0 | 2023-04-26T21:52:23 | AemonAlgizVideos | false | 2023-04-26T21:57:43 | 0 | jhubbks | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhubbks/ | false | 1 |
t1_jhubak6 | Being concise is something I had drummed into me as not just desirable but required. Alpaca was always more about shorter responses from the training as far as I can tell, but is it the 2x parameters enabling 65b to really run with it compared to the lower model sizes? If it's a feature not a bug.
Could it be that the... | 1 | 0 | 2023-04-26T21:52:11 | ambient_temp_xeno | false | null | 0 | jhubak6 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhubak6/ | false | 1 |
t1_jhuapjs | Oof, that would not be something for a regular Joe to run. Only large companies, I suppose.
But honestly, given how advanced 13b models have become with additional tuning, I'm willing to bet 30/65b models would cover most of the needs. | 12 | 0 | 2023-04-26T21:48:02 | OkDas | false | null | 0 | jhuapjs | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuapjs/ | false | 12 |
t1_jhuap69 | Vicuna's performance seems to suggest that high data quality is more performant than raw parameter quantity, no? | 44 | 0 | 2023-04-26T21:47:58 | SeymourBits | false | null | 0 | jhuap69 | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhuap69/ | false | 44 |
t1_jhu9ygf | At least for fiction the larger models seem much better atm | 12 | 0 | 2023-04-26T21:42:40 | althalusian | false | null | 0 | jhu9ygf | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhu9ygf/ | false | 12 |
t1_jhu9y90 | Wow! Check out this follow-up answer from 65B:
Q: Why is your previous answer so short?
A: My response is brief due to my lack of understanding regarding the context of the question.
Further thoughts:
I often get asked "unproductive" questions by my kids. If I was asked that specific question, my thought process woul... | 2 | 0 | 2023-04-26T21:42:38 | SeymourBits | false | null | 0 | jhu9y90 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhu9y90/ | false | 2 |
t1_jhu9v0i | Wasn’t 65B made that size to fit into an 80GB A100? I guess the 546B model was made to fit into an A100 node?
What does quantisation bring? Lowers resources by 4 or 8? So even 2-/3-bit quant would still require 1-2 A100s?
Way out of my price range 😂 | 17 | 0 | 2023-04-26T21:42:00 | PM_ME_ENFP_MEMES | false | null | 0 | jhu9v0i | false | /r/LocalLLaMA/comments/12zzd7o/llama546b/jhu9v0i/ | false | 17 |
t1_jhu8qqh | Is the only way right now to load GPTQ model with langchain is through your method? From what I can tell with your repo, you fire up a webserver that loads GPTQ-for-LLaMa and responds to the request?
Also, is there a reason why you are using all-MiniLM-L6-v2 instead of all-mpnet-base-v2? I have been using the default ... | 1 | 0 | 2023-04-26T21:34:13 | syntaxing2 | false | null | 0 | jhu8qqh | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhu8qqh/ | false | 1 |
t1_jhu8bq6 | I get around 10~20 tokens/s, but that's on my 4090 and with the 13b model.
Haven't seen anyone doing close to that on CPU... maybe the 7b model can do that...?
There must be something going on, no way you're getting 5-10X what everyone else is... right? | 1 | 0 | 2023-04-26T21:31:21 | fimbulvntr | false | null | 0 | jhu8bq6 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhu8bq6/ | false | 1 |
t1_jhu7htj | Q5\_0 quantization just landed in llama.cpp, which is 5 bits per weight, and about same size and speed as e.g. Q4\_3, but with even lower perplexity. Q5\_1 is also there, analogous to Q4\_1. | 3 | 0 | 2023-04-26T21:25:35 | audioen | false | null | 0 | jhu7htj | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu7htj/ | false | 3 |
t1_jhu7704 | That's insane... | 2 | 0 | 2023-04-26T21:23:32 | rainy_moon_bear | false | null | 0 | jhu7704 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhu7704/ | false | 2 |
t1_jhu75t3 | Thanks! Subscribed to your channel ;) BTW, what model did you run to get 15-20 tokens per sec? Did you try 30/60b? | 1 | 0 | 2023-04-26T21:23:19 | ljubarskij | false | null | 0 | jhu75t3 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhu75t3/ | false | 1 |
t1_jhu75iy | updated the adapter\_model.bin Seems to be a few issues with the rapid change in huggingface dependencies. | 1 | 0 | 2023-04-26T21:23:16 | wind_dude | false | null | 0 | jhu75iy | false | /r/LocalLLaMA/comments/12z9znh/new_7b_llama_model_wizardlm_now_available/jhu75iy/ | false | 1 |
t1_jhu6wth | Guess I'm not talking out my ass:
https://arxiv.org/abs/2302.10866
> In recall and reasoning tasks on sequences of thousands to hundreds of thousands of tokens, Hyena improves accuracy by more than 50 points over operators relying on state-spaces and other implicit and explicit methods, matching attention-based mode... | 2 | 0 | 2023-04-26T21:21:35 | SufficientPie | false | null | 0 | jhu6wth | false | /r/LocalLLaMA/comments/12x177n/the_race_is_on/jhu6wth/ | false | 2 |
t1_jhu6bfy | Very based. Basically everything we consider Chinese are actually stolen from another country. From soy sauce, noodles, rice, fired rice, dumplings, dim sum, lunar new year, etc. It's all in the history books. These people basically have no original culture and gave basically stolen everything from land, food, culture,... | -10 | 0 | 2023-04-26T21:17:30 | CeilingCat56 | false | 2023-04-26T21:25:47 | 0 | jhu6bfy | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhu6bfy/ | false | -10 |
t1_jhu63k1 | I have to get a video out today, though once I’m finished with that I can do some analysis! | 1 | 0 | 2023-04-26T21:16:00 | AemonAlgizVideos | false | null | 0 | jhu63k1 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhu63k1/ | false | 1 |
t1_jhu60ag | [deleted] | -3 | 0 | 2023-04-26T21:15:23 | [deleted] | true | null | 0 | jhu60ag | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu60ag/ | false | -3 |
t1_jhu5xsb | Wow, could you please provide a link to that thread? Sounds awesome. I would also appreciate if you could run with and without avx and provide some numbers. Thanks a lot in advance! | 1 | 0 | 2023-04-26T21:14:55 | ljubarskij | false | null | 0 | jhu5xsb | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhu5xsb/ | false | 1 |
t1_jhu5o3s | The model did run just about the best of the ones I have used so far. It was very quick and had very little tangents or non-related information. I think there is just only so much data that can be squeezed into a 4-bit, 5GB file. | 3 | 0 | 2023-04-26T21:13:04 | aigoopy | false | null | 0 | jhu5o3s | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu5o3s/ | false | 3 |
t1_jhu4xg9 | wizardLM came in above the other 7B models. I used the q4\_3 model as asked and it had 1 correct answer that none of the others did (including human): 5 U.S. states have 6-letter names; only which 2 west of the Mississippi River border each other? Oregon & Nevada. | 2 | 0 | 2023-04-26T21:08:03 | aigoopy | false | null | 0 | jhu4xg9 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu4xg9/ | false | 2 |
t1_jhu4gq7 | Thanks! Not quite as good as we were hoping, then :) Good for a 7B but not rivalling Vicuna 13B. Fair enough, thanks for getting it run so quickly. | 3 | 0 | 2023-04-26T21:05:04 | The-Bloke | false | null | 0 | jhu4gq7 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu4gq7/ | false | 3 |
t1_jhu44e0 | ​
https://preview.redd.it/0mjna9134cwa1.png?width=690&format=png&auto=webp&v=enabled&s=d4f402f469a2406a9bd3bed7e8adc193102dd7e4 | 3 | 0 | 2023-04-26T21:02:48 | aigoopy | false | null | 0 | jhu44e0 | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu44e0/ | false | 3 |
t1_jhu3iqw | On my 7950X, without AVX512 I have pretty rough performance. With it on, I seem to have much better performance. I can chart it if that would be helpful.
This was discussed in another thread where my performance was beating out Intels by a factor of 10. They would be seeing 1-2 tokens per second while I was seeing 15-... | 1 | 0 | 2023-04-26T20:58:59 | AemonAlgizVideos | false | null | 0 | jhu3iqw | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhu3iqw/ | false | 1 |
t1_jhu33wi | In your experience is the limitation of these purely speed? I ran the 100 questions on GPT3.5 and Anthropic’s Claude and as expected the output is both faster and higher accuracy (69% and 76% respectively, all done in about 2 minutes each). Do you think these open source models may perform better if run on a larger sys... | 1 | 0 | 2023-04-26T20:56:24 | bacteriarealite | false | null | 0 | jhu33wi | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu33wi/ | false | 1 |
t1_jhu2orv | So is the whole "Linux is harder to install and use than Windows" actually have any merit in the 2020's or is it just a meme? I need Windows for 3D modeling software but I literally dread booting into it anymore. All of my crashes, my blue screens of death, my "screen freezes and speakers start making a horrifying soun... | 3 | 0 | 2023-04-26T20:53:43 | CheshireAI | false | null | 0 | jhu2orv | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhu2orv/ | false | 3 |
t1_jhu2k8d | Where's the incentive for someone to spend as much money as Meta did on LLaMA and then give it away with a nice open source licence?
Wasn't that what OpenAI was supposed to be?
Redpajama has a hope because of the supercomputing being granted, but are there other expenses they can't compete with? How many people worke... | 1 | 0 | 2023-04-26T20:52:54 | ambient_temp_xeno | false | 2023-04-26T21:10:36 | 0 | jhu2k8d | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhu2k8d/ | false | 1 |
t1_jhu2bkn | I was able to do the first 23 and got 19/23 with GPT4, with second best Alpaca LORA with 14/23. May not hold on all so feel free to do more but big enough difference that GPT4 appears to be much better.
I don’t have the GPT3.5 API setup but I did try Claude API which for the first 23 got 16/23 so better than any open ... | 6 | 0 | 2023-04-26T20:51:23 | bacteriarealite | false | null | 0 | jhu2bkn | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhu2bkn/ | false | 6 |
t1_jhu1qpc | > However, the arrival of dozens of competing and different flavours totally muddied the waters.
It's called choice. There are many ways to do the same things. In Windows, you only get one. With open source, you get all of them.
No fix for that. If it's free, everyone will have a different variant. Whatever you want,... | 1 | 0 | 2023-04-26T20:47:44 | x54675788 | false | 2023-04-26T20:59:38 | 0 | jhu1qpc | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhu1qpc/ | false | 1 |
t1_jhu1g7r | No, I didn’t try the QA Prompt, and I haven’t seen how it works.
I just like using ZERO shot react agent, it worked quite fine with the custom search tool when I tested, but my test case was very simple.
I also just like how it looks like, specially in verbose mode.
Btw, I recommend reading this website if you have ... | 2 | 0 | 2023-04-26T20:45:54 | rustedbits | false | null | 0 | jhu1g7r | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhu1g7r/ | false | 2 |
t1_jhu0zby | Are they this much better than all the 30b and 65b variants? | 2 | 0 | 2023-04-26T20:42:57 | x54675788 | false | null | 0 | jhu0zby | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhu0zby/ | false | 2 |
t1_jhu0akm | Fingers crossed | 5 | 0 | 2023-04-26T20:38:42 | Dany0 | false | null | 0 | jhu0akm | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhu0akm/ | false | 5 |
t1_jhtyjb8 | Why not both? :D | 12 | 0 | 2023-04-26T20:27:41 | VertexMachine | false | null | 0 | jhtyjb8 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhtyjb8/ | false | 12 |
t1_jhtxe88 | Note that every iPhone, iPad, MacBook, iMac etc runs actually a Unix system, which demonstrates the power Linux systems root on. | 8 | 0 | 2023-04-26T20:20:41 | Evening_Ad6637 | false | null | 0 | jhtxe88 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtxe88/ | false | 8 |
t1_jhtxagz | Here's a joke it told me when I was messing around:
> A man goes to the doctor with an inflamed appendix. The doctor says, "We're going to have to operate." The patient is terrified; he asks the doctor if there's any alternative. The doctor replies that he knows of one, but it involves traveling. "Where?" the patient a... | 2 | 0 | 2023-04-26T20:20:02 | fimbulvntr | false | null | 0 | jhtxagz | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtxagz/ | false | 2 |
t1_jhtwn99 | Might be that it does, playing around with the released binaries (instead of compiling it myself) shows a little boost, maybe 10%, might be placebo though.
It's not "twice as fast" like what I was expecting.
Also the runs I had were with the 65B parameters model, and everyone seems to be benchmarking with 7B, which I... | 1 | 0 | 2023-04-26T20:16:07 | fimbulvntr | false | null | 0 | jhtwn99 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtwn99/ | false | 1 |
t1_jhtvuqw | One of the comments on the last link says that it works on windows too...hmm | 1 | 0 | 2023-04-26T20:11:05 | ljubarskij | false | null | 0 | jhtvuqw | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtvuqw/ | false | 1 |
t1_jhtupol | Back to the drawing board for new pc parts, then | 5 | 0 | 2023-04-26T20:03:52 | x54675788 | false | null | 0 | jhtupol | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtupol/ | false | 5 |
t1_jhtui1b | I wasn't specifying any temp. So it was the default temp which is 0.8. | 1 | 0 | 2023-04-26T20:02:33 | fallingdowndizzyvr | false | null | 0 | jhtui1b | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhtui1b/ | false | 1 |
t1_jhtuafc | What was the temp that you were using when you weren't happy with the outputs? | 1 | 0 | 2023-04-26T20:01:14 | FullOf_Bad_Ideas | false | null | 0 | jhtuafc | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhtuafc/ | false | 1 |
t1_jhts4cn | I did reach milestone 1, but Vicuna has not been consistently acing it, so when i'm done with work tonight I'll try to spend some time consolidating this into an agent and diving deeper into what is happening with the embeddings. It seems I get the first answer answered correctly 80% of the time with Vicuna 13B and 60%... | 1 | 0 | 2023-04-26T19:48:05 | nbuster | false | null | 0 | jhts4cn | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhts4cn/ | false | 1 |
t1_jhts2ga | Yeah but it seems to be because the flags don't do anything, really. I might be completely wrong as I'm unfamiliar with the codebase and not a C/C++ dev.
AVX/AVX2 definitely do improve prompt speed, but they had to add specific code to make them work [like here, for example](https://github.com/ggerganov/llama.cpp/pull... | 1 | 0 | 2023-04-26T19:47:44 | fimbulvntr | false | 2023-04-26T19:56:51 | 0 | jhts2ga | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhts2ga/ | false | 1 |
t1_jhtqwg7 | So we really went straight from waiting for Vicuna 30B to waiting for WizardLM 13B huh | 18 | 0 | 2023-04-26T19:40:29 | Dany0 | false | null | 0 | jhtqwg7 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhtqwg7/ | false | 18 |
t1_jhtqcca | That kinda depends, how many parameter model can you run? GGML uses RAM, GPU versions use VRAM. There's 7b, 13b, 30b, and 65b options (and others). I think it's more fair to compare models of the same parameter count. Some models get much better as their parameter count goes up, others don't scale as well because maybe... | 15 | 0 | 2023-04-26T19:37:03 | YearZero | false | 2023-04-26T19:47:53 | 0 | jhtqcca | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhtqcca/ | false | 15 |
t1_jhtpuoj | >**failures**
What do you mean by "failures"? Linux is the most used OS in the world right now. Because Android. If you think that's unfair - Linux is used in most professional contexts, like servers and supercomputers.
>I don't think that even today we have a Linux variant which can be as easily installed and used a... | 18 | 0 | 2023-04-26T19:33:58 | QFTornotQFT | false | 2023-04-26T21:00:26 | 0 | jhtpuoj | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtpuoj/ | false | 18 |
t1_jhtptr8 | I've heard it described as 'Linux lost the desktop but the desktop lost to the cloud.' | 5 | 0 | 2023-04-26T19:33:48 | zekthedeadcow | false | null | 0 | jhtptr8 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtptr8/ | false | 5 |
t1_jhtprb4 | That’s low key a great idea. =] | 3 | 0 | 2023-04-26T19:33:23 | disarmyouwitha | false | null | 0 | jhtprb4 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtprb4/ | false | 3 |
t1_jhtohie | What has been the main limitation(s) to reach the first milestone? | 2 | 0 | 2023-04-26T19:25:19 | rustedbits | false | null | 0 | jhtohie | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhtohie/ | false | 2 |
t1_jhtocxa | I have a 7950x and it runs most things without a sweat. Not as fast as 3080ti. I only used it when I was having trouble getting cuda to work. But yeah it totally works on vicuna 14b models | 1 | 0 | 2023-04-26T19:24:30 | jennabangsbangs | false | null | 0 | jhtocxa | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtocxa/ | false | 1 |
t1_jhtnohb | I used alpaca.cpp for that one. It was in 8 parts. Also, I am running all of these on CPU so gfx card is just chilling waiting for SD prompts the whole time :) | 2 | 0 | 2023-04-26T19:20:13 | aigoopy | false | null | 0 | jhtnohb | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhtnohb/ | false | 2 |
t1_jhtnh58 | The model doesn't retain information. Running inference on a set of text just means that it is outputting a set of tokens based on the tokens you fed into it.
ChatGPT "remembers" things in a convo because it retains the previous chat messages back and forth in its context, until it is exhausted.
The LLaMA models all ... | 4 | 0 | 2023-04-26T19:18:55 | randomcluster | false | null | 0 | jhtnh58 | false | /r/LocalLLaMA/comments/1227uj5/my_experience_with_alpacacpp/jhtnh58/ | false | 4 |
t1_jhtneni | Lack of mass Linux adoption? Yes, on the desktop, which is actually a niche in computing.
Linux has >90% market share on servers, >65% on phones and tablets, unknown but I expect >70% on embedded devices. 100% on real super computers. Easily more that two thirds of all computing that is done on this planet is done on ... | 5 | 0 | 2023-04-26T19:18:28 | NickUnrelatedToPost | false | null | 0 | jhtneni | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtneni/ | false | 5 |
t1_jhtn9fm | I agree, and based on their methodology I think they could probably continue training + targeting weaknesses on the current 7B version. | 3 | 0 | 2023-04-26T19:17:32 | rainy_moon_bear | false | null | 0 | jhtn9fm | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhtn9fm/ | false | 3 |
t1_jhtmiw1 | I haven't had a chance to play around with it yet. But just wanted to say thanks for the hard work - it looks extremely interesting! | 2 | 0 | 2023-04-26T19:12:50 | toothpastespiders | false | null | 0 | jhtmiw1 | false | /r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhtmiw1/ | false | 2 |
t1_jhtm6ev | I'm looking forward to the 13b and 30b versions with more training perhaps too. I think it has a lot of potential. | 6 | 0 | 2023-04-26T19:10:38 | YearZero | false | null | 0 | jhtm6ev | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhtm6ev/ | false | 6 |
t1_jhtkz6g | Right now the open source world has many different models, and there is no clear winner for every possible use case.
In my personal opinion, vicuna-13B and WizardLM-7B are the best all around models. | 28 | 0 | 2023-04-26T19:03:04 | rainy_moon_bear | false | null | 0 | jhtkz6g | false | /r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jhtkz6g/ | false | 28 |
t1_jhtk7rh | thats a pity :( | 1 | 0 | 2023-04-26T18:58:11 | ljubarskij | false | null | 0 | jhtk7rh | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtk7rh/ | false | 1 |
t1_jhtjodn | Amazing!
I like to think in milestones. First milestone for me is to be able to talk to a book :P Seems easy with langchain, but langchain and Vicuna haven't necessarily made this a slamdunk so far.
Second milestone will be to have BrainChulo grab a book, video game, or clothing product from some site and write a pos... | 2 | 0 | 2023-04-26T18:54:44 | nbuster | false | 2023-04-26T19:01:22 | 0 | jhtjodn | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhtjodn/ | false | 2 |
t1_jhtjgqk | > All I want is a single file that I can install, supplied with a decent copyright-free model.
that's may be what you want, but it wont be the ideal thing. If you can run a model of size N then you would do better with a size N model that's trained for the specific tasks rather than a generalized one. If you instead ... | 1 | 0 | 2023-04-26T18:53:21 | Sixhaunt | false | null | 0 | jhtjgqk | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtjgqk/ | false | 1 |
t1_jhtj8w0 | Man, you're doing a lord's work, thank you! | 2 | 0 | 2023-04-26T18:51:58 | ljubarskij | false | null | 0 | jhtj8w0 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhtj8w0/ | false | 2 |
t1_jhtiqm8 | Yeah, I get the argument people make with Linux and its perceived loss of the desktop. But Linux 'did' win. It's a huge player in servers, single board computers, powers Android/ChromeOS/SteamOS, and even on the desktop it has enough clout to usually get driver support.
That can seem like nitpicking. But I think it h... | 11 | 0 | 2023-04-26T18:48:43 | toothpastespiders | false | null | 0 | jhtiqm8 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtiqm8/ | false | 11 |
t1_jhtip8y | If not already, someone will come out with a bootable Linux distribution with some models built into it directly or a directory that you just plop them into and select which to run through a GUI. | 10 | 0 | 2023-04-26T18:48:28 | ThePseudoMcCoy | false | null | 0 | jhtip8y | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtip8y/ | false | 10 |
t1_jhti8k4 | Here's another run. As you can see, it makes no difference. Also 8 threads vs 16 threads seem to matter very little.
## No AVX:
`.\main.exe -m ..\..\..\models\alpaca-lora-65B.GGML.q4_3.bin -t 16 --prompt "### User: Make up a random joke\n ### AI:" --color`
system_info: n_threads = 16 / 32 | AVX = 1 | AVX2 = 1 | A... | 2 | 0 | 2023-04-26T18:45:28 | fimbulvntr | false | 2023-04-26T18:51:25 | 0 | jhti8k4 | false | /r/LocalLLaMA/comments/12zg9vf/avx512_on_zen_4/jhti8k4/ | false | 2 |
t1_jhti2x2 | I do follow up with prompts like "can you say more" and then many times they do say more. So it is possible to do. | 2 | 0 | 2023-04-26T18:44:27 | fallingdowndizzyvr | false | null | 0 | jhti2x2 | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhti2x2/ | false | 2 |
t1_jhthpe2 | I've had that same concern. But in the end, there are always going to be companies crippleing their products in order to chase whatever the perceived average is within the larger culture. But I like the whole wild west of technology where random wild stuff just pops up because someone had the whim and tenacity to stick... | 1 | 0 | 2023-04-26T18:42:02 | toothpastespiders | false | null | 0 | jhthpe2 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhthpe2/ | false | 1 |
t1_jhthg0l | As someone that's updated their own 65B model, and tweaked a open-source UI to fit my needs, I'll say this.
If 'you' want something special for you AI usage and you can't find it to download you have two options.
1:Learn to code and make it yourself.
2:Hire someone that will charge you $35+ an hour, and have them mak... | 1 | 0 | 2023-04-26T18:40:20 | redfoxkiller | false | null | 0 | jhthg0l | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhthg0l/ | false | 1 |
t1_jhtgmrh | Ok, good to know! I might do some more experimentation and see if ChatGPT 4 acts any differently. | 1 | 0 | 2023-04-26T18:35:04 | noname-_- | false | null | 0 | jhtgmrh | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhtgmrh/ | false | 1 |
t1_jhtge2y | I think you are greatly overestimating how far along relatively we are in the development of AI. A computer OS analogy of RSX vs CPM is more apropos than Linux vs Windows. What's RSX and CPM? That's my point. We are so early that what we have now will probably not what we will have 10 years from now. This is the time f... | 2 | 0 | 2023-04-26T18:33:30 | fallingdowndizzyvr | false | null | 0 | jhtge2y | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jhtge2y/ | false | 2 |
t1_jhtetzv | How the fuck do you run a 66b llm. I tried a 20b one on my 4080 and it always crashes. | 1 | 0 | 2023-04-26T18:23:22 | OrrinW01 | false | null | 0 | jhtetzv | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhtetzv/ | false | 1 |
t1_jhteh5v | If the models followed instructions like 'be concise' or 'go into detail' better it would help. When they start going on tangents they sometimes come out with good things, but other times I'm aware of it burning through tokens and my time. | 1 | 0 | 2023-04-26T18:21:05 | ambient_temp_xeno | false | null | 0 | jhteh5v | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhteh5v/ | false | 1 |
t1_jhte8jh | In my testing, it hasn't been really picky about the question format. Early on in initial testing for this I would keep rewording a question to see if it could get it and it never made a difference. Seems it either knows it or not based on the keywords and general order of them. | 2 | 0 | 2023-04-26T18:19:32 | aigoopy | false | null | 0 | jhte8jh | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jhte8jh/ | false | 2 |
t1_jhte30j | I like the blathering. Since it's like how people are asked to show their work on a test. To show they understand what is going on.
After lower the temp and asking the following question, "I have 7 lbs of bananas, each banana is 0.5 lbs, how many bananas I have?", the 65B model gave the answer as simply "14". A 13B mo... | 2 | 0 | 2023-04-26T18:18:31 | fallingdowndizzyvr | false | null | 0 | jhte30j | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhte30j/ | false | 2 |
t1_jhtdhuy | Lowering the temp makes it much more coherent, if very succinct. So that seems to have been the problem. | 2 | 0 | 2023-04-26T18:14:43 | fallingdowndizzyvr | false | null | 0 | jhtdhuy | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhtdhuy/ | false | 2 |
t1_jhtdb2f | As another poster pointed out, lowering the temp makes it much better. | 2 | 0 | 2023-04-26T18:13:30 | fallingdowndizzyvr | false | null | 0 | jhtdb2f | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhtdb2f/ | false | 2 |
t1_jhtd65m | That definitely does the trick. I don't even have to go down to 0.01. 0.50 works much better than the default temp.
While it is much more coherent, it's very succinct. I associate in my mind that a larger model will be more verbose. The 65B model is not that. At the 0.01 setting for the banana question the answer I ge... | 1 | 0 | 2023-04-26T18:12:36 | fallingdowndizzyvr | false | null | 0 | jhtd65m | false | /r/LocalLLaMA/comments/12ywj2p/is_the_fatty_alpaca_alpacalora65b_ggml_model/jhtd65m/ | false | 1 |
t1_jhtav7a | Pretty cool! I don’t see myself as leading a huge initiative, I’m just a developer exploring the LLM universe :)
Is there anything in particular that you need help with BrainChulo? Not sure how helpful I would be either.
One thing I do want to experiment, which seems to overlap a lot with your goals:
Create a datase... | 2 | 0 | 2023-04-26T17:57:36 | rustedbits | false | null | 0 | jhtav7a | false | /r/LocalLLaMA/comments/12yb0wx/langchain_vicuna_server_added_support_for/jhtav7a/ | false | 2 |
t1_jhtansb | Most of your use case is code analysis (not generation). This makes sense for small models | 2 | 0 | 2023-04-26T17:56:18 | hassan789_ | false | null | 0 | jhtansb | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhtansb/ | false | 2 |
t1_jhta4h9 | * finetune the LLM on your codebase to make results more relevant
* integrate deeply with other tools to make bigger leaps (for example, it is often necessary to change multiple files for single feature, which is out of scope for ChatGPT)
* generate documentation and commit messages, not just code
* improve generation ... | 6 | 0 | 2023-04-26T17:52:53 | lacethespace | false | null | 0 | jhta4h9 | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jhta4h9/ | false | 6 |
t1_jht9ktp | Maybe not what you want to hear but. It's open source. Meaning.... Well do it.. ? Contributes ? If everyone is like you, then you'll never gonna get it. | 1 | 0 | 2023-04-26T17:49:26 | Qual_ | false | null | 0 | jht9ktp | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht9ktp/ | false | 1 |
t1_jht8wvr | Used 3090s go for ~$600. With two of those you can even run the 65B model in 4bit, for ~$1200. | 1 | 0 | 2023-04-26T17:45:12 | Nextil | false | null | 0 | jht8wvr | false | /r/LocalLLaMA/comments/12ynhoc/65b_4bit_on_13900k/jht8wvr/ | false | 1 |
t1_jht82yi | Oh I guess there's this https://old.reddit.com/r/LocalLLaMA/wiki/models
> with a couple of challenging requests whose correct answers are easy to programmatically evaluate
"Which weighs more, two pounds of feathers or one pound of bricks?" trips up every AI I've tried it on except GPT4 and Character.ai. https://reddi... | 3 | 0 | 2023-04-26T17:39:53 | SufficientPie | false | null | 0 | jht82yi | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jht82yi/ | false | 3 |
t1_jht7z5s | For coding it still needs some work, but it is a breath of fresh air for most other applications. If it could code on a level closer to chatGPT-3.5 I think I would have wizardLM running full-time on my PC with no other quality improvements. | 6 | 0 | 2023-04-26T17:39:13 | rainy_moon_bear | false | null | 0 | jht7z5s | false | /r/LocalLLaMA/comments/12zkyx1/wizardlm_7b_vs_vicuan_13b_vs_gpt35turbo_comparison/jht7z5s/ | false | 6 |
t1_jht7de9 | How to quantize a model that’s non-llama based? | 2 | 0 | 2023-04-26T17:35:24 | _rundown_ | false | null | 0 | jht7de9 | false | /r/LocalLLaMA/comments/12zgohs/stablelm_7b_multiple_tunes_converted_and_quantized/jht7de9/ | false | 2 |
t1_jht78d6 | Linux is awesome, who cares if it isn't as popular as windows? The average Joe uses windows fine and has no reason to switch, and linux is here for anyone who wants it. | 1 | 0 | 2023-04-26T17:34:30 | pokeuser61 | false | null | 0 | jht78d6 | false | /r/LocalLLaMA/comments/12zif1v/are_we_replicating_the_failures_leading_to_lack/jht78d6/ | false | 1 |
t1_jht5ipg | I'm not sure how fair it was since I first gave it a slightly incorrect instructions and then asked 10 questions at the time, but at least it gives us an idea how it compares. | 1 | 0 | 2023-04-26T17:23:35 | noname-_- | false | null | 0 | jht5ipg | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jht5ipg/ | false | 1 |
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