name
string
body
string
score
int64
controversiality
int64
created
timestamp[us]
author
string
collapsed
bool
edited
timestamp[us]
gilded
int64
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bool
permalink
string
stickied
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ups
int64
t1_jitbt6y
for what though? for conversations? Quantized 30B is what you can run well on a 3090. gpt-x-alpaca had the highest scores on wikitext and PTB_new of the ones I checked.
1
0
2023-05-04T10:43:51
a_beautiful_rhind
false
null
0
jitbt6y
false
/r/LocalLLaMA/comments/137gm8h/what_model_do_you_run_on_a_24gb_card_30904090/jitbt6y/
false
1
t1_jitbmo1
That depends on what you consider "acceptable" and what optimisations do you use. I use 30B models and consider them practical in my setup. 65B? Well... A 65B model on CPU alone will take several minutes to ingest the prompt during each response. This is why --smartcontext optimisation exists: you only have to ingest ...
2
0
2023-05-04T10:41:38
_Erilaz
false
null
0
jitbmo1
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jitbmo1/
false
2
t1_jitathb
It's not censored, is it? It won't "as a language model" me?
3
0
2023-05-04T10:31:29
a_beautiful_rhind
false
null
0
jitathb
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jitathb/
false
3
t1_jitarbe
I'm working on a project to rewrite the HF Llama implementation, getting rid of a bunch of wasteful stuff, incorporating 4-bit quantization more efficiently and applying a couple of other tricks for memory efficiency and avoiding fragmentation. So far I've got a 30B-128g model running on a 2048-token sequence using ar...
12
0
2023-05-04T10:30:42
ReturningTarzan
false
null
0
jitarbe
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jitarbe/
false
12
t1_jitabmd
Yeah, it's not only nsfw stuff, it's also for stuff like coding assistance when you don't want to (or company doesn't allow to) upload code to a third party service like Bing or OpenAI. Or to fine tune those on local data or data that cloud LLMs aren't specifically trained on. There was one dude making a LLM fine tuni...
5
0
2023-05-04T10:25:03
x54675788
false
null
0
jitabmd
false
/r/LocalLLaMA/comments/136kbfu/how_do_the_7b_13b_30b_and_65b_parameter_models/jitabmd/
false
5
t1_jita40r
Thanks for the answer! I think those speeds sound good enough. Right now I would say those self hosted LLMs are anyway not really productivity tools because for work stuff I think even the free ChatGPT version is better I would say? I would more use it for fun stuff like stories etc because there the content moderati...
4
0
2023-05-04T10:22:14
johnnyXcrane
false
null
0
jita40r
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jita40r/
false
4
t1_jit9iv1
>We don't have enough testing to confirm if one is superior over the other...I won't have more ram until another two weeks to test this theory. Wait so the entire world is waiting for your ram upgrade to get our answers?! Exciting times!
2
0
2023-05-04T10:14:34
ThePseudoMcCoy
false
null
0
jit9iv1
false
/r/LocalLLaMA/comments/13783us/is_using_a_2nd_gpu_for_vram_swap_better_then/jit9iv1/
false
2
t1_jit8ccx
Have a look at the --auto-devices option.
1
0
2023-05-04T09:58:20
NickUnrelatedToPost
false
null
0
jit8ccx
false
/r/LocalLLaMA/comments/137dpd7/using_system_ram_as_swap_for_gpu/jit8ccx/
false
1
t1_jit88ae
Flash Attention is a little tricky. The HazyResearch version doesn't support head dimensions >64 in backpropagation on anything but the A100, and all Llama models use a head dimension of 128. HF Transformers has scaled_dot_product_attention which *should* dispatch to some other version of Flash Attention "when appropri...
1
0
2023-05-04T09:56:43
ReturningTarzan
false
null
0
jit88ae
false
/r/LocalLLaMA/comments/137dtbd/memoryefficient_training_of_30b_and_65b_models_at/jit88ae/
false
1
t1_jit839x
I also use this model, and I can confirm it's very good indeed. It can actually run on a single CPU setup, I have 5900x with 32GB of ram OCed to 3900 MT/s. I only have q4_1 model for now, but I would like to try q4_0 and q5_0 - one is the fastest, and the other offers better perplexity while being more efficient with m...
2
0
2023-05-04T09:54:42
_Erilaz
false
null
0
jit839x
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit839x/
false
2
t1_jit7mx4
That depends entirely on what you consider an acceptable speed. That's a very respectable CPU and likely in the top 5 if you made a list of desirable consumer CPUs for this use case. As for what speed you can expect though -- well, I have a 12700K and get about 70 words per minute out of Alpaca 30B. You may get faste...
6
0
2023-05-04T09:48:15
AI-Pon3
false
null
0
jit7mx4
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit7mx4/
false
6
t1_jit6uf1
4 bit is the way. Everything else you should run online.
1
0
2023-05-04T09:36:40
PookaMacPhellimen
false
null
0
jit6uf1
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jit6uf1/
false
1
t1_jit4ndd
Ohh I see. Thanks for explaining. I had a feeling there was a catch.
1
0
2023-05-04T09:03:38
ambient_temp_xeno
false
null
0
jit4ndd
false
/r/LocalLLaMA/comments/136o0wu/have_you_guys_tried_the_new_mirostat_sampling_in/jit4ndd/
false
1
t1_jit3x53
[https://www.reddit.com/r/LocalLLaMA/wiki/models/](https://www.reddit.com/r/LocalLLaMA/wiki/models/) system requirements + all downloads 4-bit version of 13B OASST LLaMA: [https://huggingface.co/gozfarb/oasst-llama13b-4bit-128g](https://huggingface.co/gozfarb/oasst-llama13b-4bit-128g)
1
0
2023-05-04T08:52:18
Civil_Collection7267
false
null
0
jit3x53
false
/r/LocalLLaMA/comments/1376xuz/can_i_run_something_like_huggingchat/jit3x53/
true
1
t1_jit3nk1
Isn't flash attention just a drop in replacement for the normal LLaMA attention? For example, GGML has a flash attention operation but `llama.cpp` doesn't even use it. I'm pretty sure it just runs Vicuna models with regular attention. They did experiment with using flash attention (not for Vicuna specifically) but fou...
2
0
2023-05-04T08:48:14
KerfuffleV2
false
null
0
jit3nk1
false
/r/LocalLLaMA/comments/137dtbd/memoryefficient_training_of_30b_and_65b_models_at/jit3nk1/
false
2
t1_jit3d2x
Sorry, you're right that was an unclear to phrase it. I meant it's usually regarded as a storage format and a lot of hardware doesn't support directly running inference with that format. It also may not be optimal even on hardware that supports it, since more effort probably goes into optimizing formats more commonly u...
2
0
2023-05-04T08:43:41
KerfuffleV2
false
null
0
jit3d2x
false
/r/LocalLLaMA/comments/135y9qn/4bit_quantization_for_a_noob/jit3d2x/
false
2
t1_jit2xe3
Is it any good at coding, so far LLMs have been terrible at programming tasks. Here is 2 examples that never work: 1. Create a tree output of a folder structure with dos, then ask the LM to use that as a base for folder hierarchy. 2. Ask for a python script that can convert PowerPoint (pptx) to HTML as if it’s being p...
3
0
2023-05-04T08:36:58
ihaag
false
null
0
jit2xe3
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit2xe3/
false
3
t1_jit2lh8
Can you convert ChatGLM while you’re convert it ;)
3
0
2023-05-04T08:31:58
ihaag
false
null
0
jit2lh8
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit2lh8/
false
3
t1_jit1kg2
You can find detailed questions, assessments, and more by clicking the link here 🙏🏻 [https://github.com/melodysdreamj/WizardVicunaLM#detail](https://github.com/melodysdreamj/WizardVicunaLM#detail)
3
0
2023-05-04T08:16:17
Clear-Jelly2873
false
null
0
jit1kg2
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit1kg2/
false
3
t1_jit1ico
I'll consider making a Free version next payday 😆
10
0
2023-05-04T08:15:23
Clear-Jelly2873
false
null
0
jit1ico
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit1ico/
false
10
t1_jit1gtj
I also honestly believe that the performance difference will be more than 2%. You can read more about the percentages here 🙏🏻 [https://github.com/melodysdreamj/WizardVicunaLM#detail](https://github.com/melodysdreamj/WizardVicunaLM#detail)
2
0
2023-05-04T08:14:43
Clear-Jelly2873
false
null
0
jit1gtj
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit1gtj/
false
2
t1_jit193a
I tried with and without monkeypatch and it doesn't seem to make a difference. I killed the various apps and browser tabs I had running that might be chewing up GPU memory as well as CPU (including wsl2) and repeated for more token/s Output generated in 11.55 seconds (16.79 tokens/s, 194 tokens, context 1261, seed...
1
0
2023-05-04T08:11:25
heytherepotato
false
null
0
jit193a
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jit193a/
false
1
t1_jit0xpm
Even running llama 7b locally would be slower, and most importantly, it would use a lot of computer resources just to run. It's feasible with 1-3B overtrained models in the future tho. You also could run the game locally and you wouldn't have to pay for this feature as a subscription.
2
0
2023-05-04T08:06:37
FullOf_Bad_Ideas
false
null
0
jit0xpm
false
/r/LocalLLaMA/comments/136kbfu/how_do_the_7b_13b_30b_and_65b_parameter_models/jit0xpm/
false
2
t1_jit0sq6
Torch for rocm 5.2-5.4 is available as a python packages, no need to build it
1
0
2023-05-04T08:04:29
H3PO
false
null
0
jit0sq6
false
/r/LocalLLaMA/comments/135vlfc/amd_rocm_55_released/jit0sq6/
false
1
t1_jit0m4c
Let me just say that I am very, very skeptical, every time I see wizard mentioned, because I tried it... Wizard 7B and Vicuna 13B are **2%** apart? Seriously? I know the graph makes everything look legit, but what are these percentages based on?
2
0
2023-05-04T08:01:42
Away-Sleep-2010
false
null
0
jit0m4c
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit0m4c/
false
2
t1_jit061k
would the Alpaca 65B run on an acceptable speed with a good CPU? I got a 13700k. RAM is so cheap that upgrading to 64GB isnt really an issue
2
0
2023-05-04T07:54:55
johnnyXcrane
false
null
0
jit061k
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit061k/
false
2
t1_jit035d
Good but I'll wait for a combination of Vicuna Free and WizardLM unfiltered instead lmao
4
0
2023-05-04T07:53:45
sebo3d
false
null
0
jit035d
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jit035d/
false
4
t1_jit02la
Supposedly in textgen ui you can. I have yet to see what it does on my 3090 and if it's a speedup.
1
0
2023-05-04T07:53:30
a_beautiful_rhind
false
null
0
jit02la
false
/r/LocalLLaMA/comments/135y9qn/4bit_quantization_for_a_noob/jit02la/
false
1
t1_jit02ld
Do you have a reverse prompt set that could be matching? Or when when running in interactive mode, it might make that stuff less visible. Vicuna does sometimes just stop in the middle of a sentence so the full interaction might have looked like: ### Human: Tell me about alpacas. ### Assistant: Alpacas are mam...
1
0
2023-05-04T07:53:30
KerfuffleV2
false
null
0
jit02ld
false
/r/LocalLLaMA/comments/1325x8j/the_latest_llamacpp_seems_much_faster/jit02ld/
false
1
t1_jit003a
As far as I am aware this method is not relevant to gpt models like LLaMa, since they are decoder only and this method requires access to encoder that is simply not present.
3
0
2023-05-04T07:52:30
FullOf_Bad_Ideas
false
null
0
jit003a
false
/r/LocalLLaMA/comments/136o0wu/have_you_guys_tried_the_new_mirostat_sampling_in/jit003a/
false
3
t1_jisyzgm
Use VRAM for *swap*? How is that even possible?
2
0
2023-05-04T07:37:24
BalorNG
false
null
0
jisyzgm
false
/r/LocalLLaMA/comments/13783us/is_using_a_2nd_gpu_for_vram_swap_better_then/jisyzgm/
false
2
t1_jisyy6x
0.5.2
1
0
2023-05-04T07:36:54
Pan000
false
null
0
jisyy6x
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisyy6x/
false
1
t1_jisyp4w
Looks promising, thanks for your efforts, will get it once ggml arrives How did you benchmark it, what questions did you use and how did you evaluate it? *** > I believe that if we extend the dialog to GPT-4 32K, we can expect a dramatic improvement, as we can generate 8x more accurate and richer dialogs. coul...
7
0
2023-05-04T07:33:09
AlphaPrime90
false
null
0
jisyp4w
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisyp4w/
false
7
t1_jisyb2i
[GitHub - oobabooga/text-generation-webui: A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.](https://github.com/oobabooga/text-generation-webui) I believe this UI supports LLaVa.
1
0
2023-05-04T07:27:25
jetro30087
false
null
0
jisyb2i
false
/r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jisyb2i/
false
1
t1_jisxdg9
>level 4AI-Pon3 · 9 hr. agoso, if you're using llama.cpp you can run "main.exe --help" .... ers". A typical value is 512.2ReplyGive AwardShare I appreciate the thorough explanation; it was very helpful.
2
0
2023-05-04T07:14:09
Own-Needleworker4443
false
null
0
jisxdg9
false
/r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jisxdg9/
false
2
t1_jisx4h5
>I'm also looking forward to comparing with more benchmarking. Thanks 🤗
2
0
2023-05-04T07:10:33
Clear-Jelly2873
false
null
0
jisx4h5
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisx4h5/
false
2
t1_jiswyd3
> [LLaVa](https://llava-vl.github.io/) How does one run this on a M1 mac? Any easy way?
2
0
2023-05-04T07:08:15
aknalid
false
null
0
jiswyd3
false
/r/LocalLLaMA/comments/12zsjhf/what_is_the_best_current_local_llm_to_run/jiswyd3/
false
2
t1_jiswgmg
If resources are of little concern, the more-or-less-undisputed king at the moment is going to be Alpaca 65B. But if you're like me and don't have 64 GB of RAM (or are trying to run it on GPU without exceeding a 2x3090 setup) well, that's not going to be an option. Within the scope of models that you can run on a 32 ...
6
0
2023-05-04T07:01:26
AI-Pon3
false
null
0
jiswgmg
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jiswgmg/
false
6
t1_jisw4u4
Ok fine, I admit it. It will launch nukes at you and your mom and everyone else, and we will all die in a firey inferno! Yay! pewpewpew
0
0
2023-05-04T06:56:55
AprilDoll
false
null
0
jisw4u4
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisw4u4/
false
0
t1_jisvzql
[deleted]
1
0
2023-05-04T06:54:58
[deleted]
true
null
0
jisvzql
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisvzql/
false
1
t1_jisvwzf
Here's a sneak peek of /r/sounding **[NSFW]** using the [top posts](https://np.reddit.com/r/sounding/top/?sort=top&t=year) of the year! \#1: [My cock was made for this. Second time using my 10mm EPK, using only my precum for lube. Feeling it bounce in and out while cumming was one of the best feelins I've had while cu...
1
0
2023-05-04T06:53:56
sneakpeekbot
false
null
0
jisvwzf
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisvwzf/
false
1
t1_jisvwds
You can find it in r/sounding
1
0
2023-05-04T06:53:43
AprilDoll
false
null
0
jisvwds
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisvwds/
false
1
t1_jisvnii
[deleted]
1
0
2023-05-04T06:50:28
[deleted]
true
null
0
jisvnii
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisvnii/
false
1
t1_jisvdgx
[deleted]
1
0
2023-05-04T06:46:44
[deleted]
true
null
0
jisvdgx
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisvdgx/
false
1
t1_jisv7p0
Thanks for posting a detailed report. Someone shared a similar error in our discord and we just pushed a fix. What version do you see in the bottom left corner or the app?
1
0
2023-05-04T06:44:35
Snoo_72256
false
null
0
jisv7p0
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisv7p0/
false
1
t1_jisv4b6
[deleted]
1
0
2023-05-04T06:43:18
[deleted]
true
null
0
jisv4b6
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisv4b6/
false
1
t1_jisupf5
Ah right, that place. RIP Aaron :c
1
0
2023-05-04T06:37:45
AprilDoll
false
null
0
jisupf5
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisupf5/
false
1
t1_jisuku2
[deleted]
1
0
2023-05-04T06:36:03
[deleted]
true
null
0
jisuku2
false
/r/LocalLLaMA/comments/134kvmd/whats_your_take_on_the_plea_for_halting/jisuku2/
false
1
t1_jisu3jl
Bug: I downloaded it and 2 models (Windows 11). Whenever I click "New Chat" it tells me "**The model for this chat is no longer available on your machine. Please redownload it."** which is a lie because I have not started any chats yet. I'm unable to use it because it doesn't let me actually start chatting. I then clo...
1
0
2023-05-04T06:29:37
Pan000
false
2023-05-04T06:42:47
0
jisu3jl
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisu3jl/
false
1
t1_jist82p
What LLM out there currently closely fits this description of yours? I want this so bad. lol
3
0
2023-05-04T06:18:07
lolwutdo
false
null
0
jist82p
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jist82p/
false
3
t1_jissr43
The Windows version, what architecture and tuning parameters did you compile Llama.cpp with? Can it still use all the correct instruction sets on the device or its just using general instruction sets?
1
0
2023-05-04T06:12:01
Pan000
false
null
0
jissr43
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jissr43/
false
1
t1_jissbrc
Can you explain the difference? What do you mean when you say "textgen for the available API and easy extensions"?
1
0
2023-05-04T06:06:42
noneabove1182
false
null
0
jissbrc
false
/r/LocalLLaMA/comments/131nnis/serge_just_works/jissbrc/
false
1
t1_jisqgev
That monkeypatch is actually hotswapping the installed GPTQ with a forked version by sterlind ([here](https://github.com/johnsmith0031/alpaca_lora_4bit/blob/main/requirements.txt#L11)). It's possible they have some performance tweaks not in the Ooba fork.
2
0
2023-05-04T05:43:29
TeamPupNSudz
false
null
0
jisqgev
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jisqgev/
false
2
t1_jisppse
Yes, there is! I haven't used it, though, and don't know how optimized that is. I switched because on Windows koboldcpp's drag and drop is just too easy and it's very optimized, and ooba's textgen breaking too often (probably mainly because of its dependencies). On Linux it might be a different story.
1
0
2023-05-04T05:34:40
WolframRavenwolf
false
null
0
jisppse
false
/r/LocalLLaMA/comments/136xmxj/a_beginner_question_about_cpu_vs_gpu_models/jisppse/
false
1
t1_jispgdn
There's a wizardlm lora for alpaca 13b that was posted in this sub not too long ago. It should technically be somewhat close to what true 13b wizardlm would be like. That's why I'm curious to see how it performs. Then there's someone who made wizardcuna 13b just an hour or so go.. now that one is interesting. Would lov...
1
0
2023-05-04T05:31:28
lemon07r
false
null
0
jispgdn
false
/r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jispgdn/
false
1
t1_jisohx0
I'm on GPTQ for LLaMA folder under repositories says it's pointed at [https://github.com/oobabooga/GPTQ-for-LLaMa.git](https://github.com/oobabooga/GPTQ-for-LLaMa.git). But I've run through the instructions and also applied the monkey patch to train and apply 4 bit lora which may come into play. No idea.
1
0
2023-05-04T05:20:04
heytherepotato
false
null
0
jisohx0
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jisohx0/
false
1
t1_jisnqf6
The first conversation is a painstakingly created conversation in Wizard. After that, the chatgpt generated conversations are more natural and richer in content. The reason for this is that Vicuna gets stronger as it learns the flow of the conversation as it goes back and forth. I didn't think it was important to have ...
3
0
2023-05-04T05:11:10
Clear-Jelly2873
false
null
0
jisnqf6
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisnqf6/
false
3
t1_jisnhek
Totally agree, I have high hopes for what comes next after being on par with LLaMA.
2
0
2023-05-04T05:08:20
estrafire
false
null
0
jisnhek
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisnhek/
false
2
t1_jisn6sj
Did this for a paper recently (Loraing opt models). The vicuña repository on GitHub has a handy bit of code for getting model outputs and yeeting them to GPT-4 to score. Have a look at the TestResults folder here? These are the Vicuña questions and GPT-4 scores + reasoning. https://github.com/yudhanjaya/Eluwa
2
0
2023-05-04T05:05:01
Icaruswept
false
null
0
jisn6sj
false
/r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jisn6sj/
false
2
t1_jisn1bd
Here is an example of chatgpt answering a question from human. Create 10 more conversations where human asks a question and chatgpt answers. The entire generated sentence should be more then 20000 words and should continue the theme of the first conversation. Think about the intention of the human asking the question ...
2
0
2023-05-04T05:03:16
metacryptom
false
null
0
jisn1bd
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisn1bd/
false
2
t1_jismzwu
Agreed. Great stuff, this will turn out very useful with more robust documentation.
2
0
2023-05-04T05:02:49
Icaruswept
false
null
0
jismzwu
false
/r/LocalLLaMA/comments/13636h5/updated_riddlecleverness_comparison_of_popular/jismzwu/
false
2
t1_jismhuq
So was the limiting factor in having these LLMs not "get weird" in longer context lengths just the fact that the fine-tuning data was all limited to shorter context lengths previously?
4
0
2023-05-04T04:57:03
Tostino
false
null
0
jismhuq
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jismhuq/
false
4
t1_jislrer
don't think it has GPU support currently, but I remember seeing somewhere that it's on the road map
1
0
2023-05-04T04:49:00
Snoo_72256
false
null
0
jislrer
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jislrer/
false
1
t1_jislpg9
Haven’t really tested it enough to really know. I think 2 bit is pretty bad, but 3 bit might work depending on the use case. I think it will also help a lot when we get a proper finetuned 65b model like vicuña/wizardlm, since 65b has a lot of untapped potential right now.
2
0
2023-05-04T04:48:23
pokeuser61
false
null
0
jislpg9
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jislpg9/
false
2
t1_jislbvo
There is a 13b wizardlm lora out there for alpaca so I wonder how this stacks up to that lora + alpaca
2
0
2023-05-04T04:44:15
lemon07r
false
null
0
jislbvo
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jislbvo/
false
2
t1_jisif6d
1. Obtain the original full LLaMA model weights. If you don't know where to get them, you need to learn how to s*ave bandwidth by using a torrent to distribute more efficiently*. I think facebookresearch has some tutorial about it on their github. 2. Convert to ggml with those instructions: [https://github.com/ggergano...
4
0
2023-05-04T04:14:39
wojtek15
false
2023-05-04T04:22:09
0
jisif6d
false
/r/LocalLLaMA/comments/136wenw/where_can_i_download_the_pure_llama_models/jisif6d/
false
4
t1_jisiecz
I've tried many oobabogag installs on many Linux os's and I still cannot get a quantified model running. had llama.cpp finally enabled gpu support?
3
0
2023-05-04T04:14:25
Loyal247
false
null
0
jisiecz
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisiecz/
false
3
t1_jisidqv
Wow, I'll try it on my next paycheck 😆
16
0
2023-05-04T04:14:15
Clear-Jelly2873
false
null
0
jisidqv
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisidqv/
false
16
t1_jisi90f
Fantastic work! Now do Vicuna v1.2 13B + WizardLM 13B 😜
5
0
2023-05-04T04:12:56
Thireus
false
2023-05-04T07:36:33
0
jisi90f
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisi90f/
false
5
t1_jisi2ot
To summarize After changing the Wizard command to a rich dialog like this [https://sharegpt.com/c/6cmxqq0](https://sharegpt.com/c/6cmxqq0) I trained 13B using the method suggested by FastChat
8
0
2023-05-04T04:11:12
Clear-Jelly2873
false
null
0
jisi2ot
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisi2ot/
false
8
t1_jishp57
I am not, thats a big json file. Show us how you trained it.
-9
0
2023-05-04T04:07:32
scooby_pancakes
true
null
0
jishp57
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jishp57/
false
-9
t1_jishkxz
I'm also hoping for more benchmarks. Thank you!
13
0
2023-05-04T04:06:24
Clear-Jelly2873
false
null
0
jishkxz
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jishkxz/
false
13
t1_jishfcd
Thank you!
3
0
2023-05-04T04:04:56
Clear-Jelly2873
false
null
0
jishfcd
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jishfcd/
false
3
t1_jishbcn
If you're referring to the training dataset, it's here [https://huggingface.co/datasets/junelee/wizard\_vicuna\_70k](https://huggingface.co/datasets/junelee/wizard_vicuna_70k)
5
0
2023-05-04T04:03:52
Clear-Jelly2873
false
null
0
jishbcn
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jishbcn/
false
5
t1_jish9up
When you do training on your 2x3090, whats the biggest model you can finetune? Can you do a lora at 30b in 4 bit mode?
2
0
2023-05-04T04:03:28
scooby_pancakes
false
null
0
jish9up
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jish9up/
false
2
t1_jish80e
I'm looking forward to seeing the results from the redpajamas team, their work is amazing!
4
0
2023-05-04T04:02:59
Clear-Jelly2873
false
null
0
jish80e
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish80e/
false
4
t1_jish6jg
Wow looks great.
2
0
2023-05-04T04:02:35
watchforwaspess
false
null
0
jish6jg
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish6jg/
false
2
t1_jish5xz
Thank you!
5
0
2023-05-04T04:02:25
Clear-Jelly2873
false
null
0
jish5xz
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish5xz/
false
5
t1_jish5hf
Thank you!
6
0
2023-05-04T04:02:17
Clear-Jelly2873
false
null
0
jish5hf
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish5hf/
false
6
t1_jish3e9
I don't have any plans for it yet, but I don't think it would be hard to release it. I'll update if I do, thanks.
6
0
2023-05-04T04:01:43
Clear-Jelly2873
false
null
0
jish3e9
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish3e9/
false
6
t1_jish18w
This is how we expanded the commands coming out of Wizard into multiple conversations [https://sharegpt.com/c/6cmxqq0](https://sharegpt.com/c/6cmxqq0)
5
0
2023-05-04T04:01:08
Clear-Jelly2873
false
null
0
jish18w
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jish18w/
false
5
t1_jisgvo6
Where is your source code? We dont know anything about this except a picture you linked and some bin files. Something smells off.
-4
0
2023-05-04T03:59:38
scooby_pancakes
false
null
0
jisgvo6
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisgvo6/
false
-4
t1_jisgo5l
u/the-bloke 🫣
27
0
2023-05-04T03:57:38
Thireus
false
null
0
jisgo5l
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisgo5l/
false
27
t1_jisgo46
I never tried 30B. My GPU can accommodate up to 13B but none of them do what I need. Beyond that I did not feel the need to spend time on 30B. If there was a larger 5_1 model I'd even go with that in order to get even more reliable results.
1
0
2023-05-04T03:57:37
extopico
false
null
0
jisgo46
false
/r/LocalLLaMA/comments/136kbfu/how_do_the_7b_13b_30b_and_65b_parameter_models/jisgo46/
false
1
t1_jisgemb
Gotcha. How about the 30B model? I’ve been using the 13B and its performance is ok. My local runs with the 30B is really slow that it’s not quite usable.
1
0
2023-05-04T03:55:05
dreamingleo12
false
null
0
jisgemb
false
/r/LocalLLaMA/comments/136kbfu/how_do_the_7b_13b_30b_and_65b_parameter_models/jisgemb/
false
1
t1_jisfljv
We don't have enough testing to confirm if one is superior over the other. In theory more gpus will be better in the future however it's probably more likely at the present more system ram is more effective. I am limited in pcie lanes with my budget and I won't have more ram until another two weeks to test this theor...
0
0
2023-05-04T03:47:23
Tom_Neverwinter
false
null
0
jisfljv
false
/r/LocalLLaMA/comments/13783us/is_using_a_2nd_gpu_for_vram_swap_better_then/jisfljv/
false
0
t1_jisfdwd
Good job an extra 7% is some good progress
6
0
2023-05-04T03:45:24
Tom_Neverwinter
false
null
0
jisfdwd
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisfdwd/
false
6
t1_jisfdkm
I use Kubuntu.
1
0
2023-05-04T03:45:19
hashms0a
false
null
0
jisfdkm
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisfdkm/
false
1
t1_jisf5go
Yeah perhaps
1
0
2023-05-04T03:43:14
Akimbo333
false
null
0
jisf5go
false
/r/LocalLLaMA/comments/136kbfu/how_do_the_7b_13b_30b_and_65b_parameter_models/jisf5go/
false
1
t1_jisf1mr
I think lama.cpp or oobabooga webui would be good examples to help you
2
0
2023-05-04T03:42:15
Tom_Neverwinter
false
null
0
jisf1mr
false
/r/LocalLLaMA/comments/1377o2v/has_anyone_got_this_running_in_godot/jisf1mr/
false
2
t1_jiseqfw
M1 Max here and the most I can really do is 30b relatively fast. Sort of the speed of GPT4 under full load. I feel like there is potential to be faster because I don't use all my resources.
1
0
2023-05-04T03:39:25
themostofpost
false
null
0
jiseqfw
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jiseqfw/
false
1
t1_jisemh0
[removed]
-4
0
2023-05-04T03:38:25
[deleted]
true
null
0
jisemh0
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisemh0/
false
-4
t1_jiselch
Is it not open source?
18
0
2023-05-04T03:38:08
themostofpost
false
null
0
jiselch
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jiselch/
false
18
t1_jisekjf
[deleted]
1
0
2023-05-04T03:37:57
[deleted]
true
null
0
jisekjf
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisekjf/
false
1
t1_jise2m9
What sort of speed are you getting with prompt inference? Also have you noticed speed kind of drops when you go past 16 threads?
1
0
2023-05-04T03:33:23
regstuff
false
null
0
jise2m9
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jise2m9/
false
1
t1_jisdtl2
[deleted]
1
0
2023-05-04T03:31:06
[deleted]
true
null
0
jisdtl2
false
/r/LocalLLaMA/comments/135kh16/best_30b_4bit_model/jisdtl2/
false
1
t1_jisdnym
5x3090s run 65b at 8bit at about 1-2t/s ​ 1xM40 runs 30b 4bit at about 1t/s
5
0
2023-05-04T03:29:40
wind_dude
false
null
0
jisdnym
false
/r/LocalLLaMA/comments/13710u8/anyone_actually_running_30b65b_at_reasonably_high/jisdnym/
false
5
t1_jisdmms
If the paper about the code quantity in the dataset is legit and RedPajama's team or another team includes something like the replit dataset in the initial data, the potential is amazing. There's still the issue with the context length and the hallucinations which are imo the main factors dragging them down. But for a...
7
0
2023-05-04T03:29:20
estrafire
false
null
0
jisdmms
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisdmms/
false
7
t1_jisd9db
Nice logo!
7
0
2023-05-04T03:26:00
regstuff
false
null
0
jisd9db
false
/r/LocalLLaMA/comments/1376oho/introducing_wizardvicunalm_combining_wizardlm_and/jisd9db/
false
7
t1_jisd1rm
What Linux distro are you on?
1
0
2023-05-04T03:24:08
Snoo_72256
false
null
0
jisd1rm
false
/r/LocalLLaMA/comments/13774vr/zeroconfig_desktop_app_for_running_llama/jisd1rm/
false
1