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_jicdig5
I would keep your prompts at the ready for something much much better...
9
0
2023-04-30T19:40:19
jfrankle
false
null
0
jicdig5
false
/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/jicdig5/
false
9
t1_jicdek8
Amazing to hear, thank you for your work!
7
0
2023-04-30T19:39:34
Shir_man
false
null
0
jicdek8
false
/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/jicdek8/
false
7
t1_jiccuko
Hi folks - I trained this model and I'm so glad you're enjoying it! We're looking into llama.cpp support for our architecture based on your feedback. I would also keep your eye out this week for more models - this was just a little test run 😉
36
0
2023-04-30T19:35:37
jfrankle
false
null
0
jiccuko
false
/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/jiccuko/
false
36
t1_jiccc2w
Running a benchmark against wikitext2, pyg-7b-16bit gives me a vastly higher score than Vicuna_v0-13b-4bit, gpt4-x-alpaca-13b-4bit, WizardLM-7b-16bit, and Stable-vicuna-13b-8bit. In fact, the only model I've benchmarked that has a better score is MetaIX_GPT4-x-alpaca-30b-4bit. I actually wouldn't have expected a chat ...
8
0
2023-04-30T19:32:00
TeamPupNSudz
false
null
0
jiccc2w
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiccc2w/
false
8
t1_jicbfvg
There are a few options available to you here. Though, I think a quick breakdown of your options and what they mean will help you choose. 1. Low parameter count models. Now of course the lower the parameter count the less memory required to run it, though when you get below the billions of parameters LLM’s unfortunate...
13
0
2023-04-30T19:25:44
AemonAlgizVideos
false
null
0
jicbfvg
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicbfvg/
false
13
t1_jicagnf
what models do i use, i used the model someone here gave me a magnet link. is there a better model to use ??
1
0
2023-04-30T19:18:59
delsystem32exe
false
null
0
jicagnf
false
/r/LocalLLaMA/comments/133zv7f/65b_model_help_how_to_run_thx/jicagnf/
false
1
t1_jica4zd
That's great to hear. But, "compete"... that's the first step I guess. So many things would have to slowly change. And I mean, that the specific cuda code is how you get the maximum out of nvidia cards, I don't see how that can change. But maybe there will than be more and more parallel implementations. I just see many...
2
0
2023-04-30T19:16:41
involviert
false
null
0
jica4zd
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jica4zd/
false
2
t1_jic9i0j
whats the point of these model when you need a pretty good video card to run and not even close to gpt3.5? free/20$/month vs a 400$ video card isn't very good trade off
-7
0
2023-04-30T19:12:21
m3kw
true
null
0
jic9i0j
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic9i0j/
false
-7
t1_jic8tvb
You don't need to use the "-n" flag, it has a default. I've never used a FP model with llama.cpp, but if it works then "./main -m ./models/65B/ggml-model-f16.bin" should be all you need to get it to load and generate some random output and print out stats at the end. If you want to interact with it, you need to give it...
1
0
2023-04-30T19:07:36
fallingdowndizzyvr
false
null
0
jic8tvb
false
/r/LocalLLaMA/comments/133zv7f/65b_model_help_how_to_run_thx/jic8tvb/
false
1
t1_jic850s
This is not the same model architecture as Llama, so someone would have to add support for it in llama.cpp.
6
0
2023-04-30T19:02:42
ReturningTarzan
false
null
0
jic850s
false
/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/jic850s/
false
6
t1_jic7x6j
There's a whole documentation site linked: https://adriacabeza.github.io/erudito/setup/
3
0
2023-04-30T19:01:09
harrro
false
null
0
jic7x6j
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jic7x6j/
false
3
t1_jic7nms
> koboldcpp (this one has a --smartcontext which seems to help speed up processing) The reason I decided not to use koboldcpp is that the longer you talk to it, the slower it gets. Since it strings together all your prompts. So the longer you converse, the slower it gets. I found that only after a few rounds, it was t...
5
0
2023-04-30T18:59:16
fallingdowndizzyvr
false
null
0
jic7nms
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jic7nms/
false
5
t1_jic7jlk
Yeah it's crazy but that's what it is. AMD is very slow at getting things working as well. If they get ai stuff working at AMD they will lock it into what ever the newest card is that year and what ever you bought now will not work with it. They both do this all the time. Features got removed from the 4090 that make it...
4
0
2023-04-30T18:58:28
artificial_genius
false
null
0
jic7jlk
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jic7jlk/
false
4
t1_jic6wyn
RAM is cheap. I just picked up 64GB for $100. Buy RAM, don't swap. You'll thank yourself for not putting yourself through swapping. But if you must, yes, you can swap. You don't even have to do anything special, just make sure virtual memory is on. But with 16GB of RAM, you can run 13B models. The Vicuna 13B model is ...
5
0
2023-04-30T18:54:08
fallingdowndizzyvr
false
null
0
jic6wyn
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jic6wyn/
false
5
t1_jic5l2q
It's totally different; and it really depends on what you mean by "perform". Typically "performance" is determined by an number called Perplexity, which shows the difference between the data set and what the model predicts. Also, even if it was a reasonable comparison, or there was any way to compare objectively, I...
2
0
2023-04-30T18:44:54
tronathan
false
null
0
jic5l2q
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic5l2q/
false
2
t1_jic5gfi
I used discordjs to create it
1
0
2023-04-30T18:44:00
chain-77
false
null
0
jic5gfi
false
/r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jic5gfi/
false
1
t1_jic5c83
That is a good point. But filtering, adding taxonomies and extracts on it could be uplift it as fair use as being an adaptive work.
1
0
2023-04-30T18:43:12
wind_dude
false
2023-04-30T18:49:25
0
jic5c83
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic5c83/
false
1
t1_jic5c2w
It's based on the model from "Minigpt-4" GitHub repo.
1
0
2023-04-30T18:43:10
chain-77
false
null
0
jic5c2w
false
/r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jic5c2w/
false
1
t1_jic4xn1
The datasets for something like this likely contain a ton of copywritten fiction, I think that if anyone released their dataset for a model like this, they'd get in hot water pretty quick. It's different when your dataset is "the whole internet" but when you seek out content that has been specifically written for a ce...
2
0
2023-04-30T18:40:25
tronathan
false
null
0
jic4xn1
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic4xn1/
false
2
t1_jic4jqj
I didn't even have to compile it. Your installation instructions for linux worked. Afterall, a Steam Deck is just a handheld PC. The only maybe was the GPU. AMD made a custom CPU/GPU for Valve. But it works straight out of the box. I guess I will have to compile it though, so I can get the tokens/sec print out. Also, ...
3
0
2023-04-30T18:37:49
fallingdowndizzyvr
false
null
0
jic4jqj
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jic4jqj/
false
3
t1_jic4i0c
We’re in complete agreement. Market competition _anywhere_ is helpful and encouraged, and hopefully AMD starts seeing the profit margins in enterprise computing and AI applications. Right now, they’re leaving a good amount of the GPU market entirely untouched.
2
0
2023-04-30T18:37:29
darthmeck
false
null
0
jic4i0c
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jic4i0c/
false
2
t1_jic4616
> I have little desire to download 5 GB(WTF?) of conda garbage (not counting new environment) Miniconda is only about 70MB. That's all you need.
1
0
2023-04-30T18:35:18
fallingdowndizzyvr
false
null
0
jic4616
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jic4616/
false
1
t1_jic41h4
War? No. Defense!
1
0
2023-04-30T18:34:25
FortunateRanger
false
null
0
jic41h4
false
/r/LocalLLaMA/comments/13302oa/have_you_guys_seen_the_video_published_by/jic41h4/
false
1
t1_jic408q
I can't argue with any of that. Gamers are still a big market, though, so NVIDIA fighting back here would be very meaningful, and AMD might eventually get their head out ~~from their~~ of the sand.
1
0
2023-04-30T18:34:11
friedrichvonschiller
false
null
0
jic408q
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jic408q/
false
1
t1_jic3l8q
2GB with the Swap on the Jetson Nano 2GB was the poorest hardware we had. The result was the thrashing the SD card and the 1 hours to generate a response. I thinking though very quickly we will have the LLM what can run on the weak hardware. The new project to run with the Vulkan is the very nice.
3
0
2023-04-30T18:31:18
SlavaSobov
false
null
0
jic3l8q
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jic3l8q/
false
3
t1_jic33ca
There's a lot of work going on leveraging vulkan and other GPU abstraction layers to compete with cuda. I think within a few months there will be viable pipeline that isn't a patchwork of bandaids
3
0
2023-04-30T18:27:53
MrTacobeans
false
null
0
jic33ca
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jic33ca/
false
3
t1_jic2xl4
Pyg-7b works fine for me in 16bit.
2
0
2023-04-30T18:26:45
TeamPupNSudz
false
null
0
jic2xl4
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic2xl4/
false
2
t1_jic0o04
Llama.cpp / ggml is the way
4
0
2023-04-30T18:11:10
faldore
false
null
0
jic0o04
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jic0o04/
false
4
t1_jic0g91
[removed]
1
0
2023-04-30T18:09:42
[deleted]
true
null
0
jic0g91
false
/r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jic0g91/
false
1
t1_jic0eik
Has anyone got inference out of this yet? I'm getting random nonsense.
1
0
2023-04-30T18:09:23
-becausereasons-
false
null
0
jic0eik
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jic0eik/
false
1
t1_jibwfl7
I'm tired of the youtube videos of some guy on a macbook... and he's like: "use the gpt4 api" like bro. I have multiple gpu's in a bitcoin mining rig being used for AI!...
10
0
2023-04-30T17:42:20
Tom_Neverwinter
false
null
0
jibwfl7
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jibwfl7/
false
10
t1_jibv21e
Thank you
3
0
2023-04-30T17:33:07
AlphaPrime90
false
null
0
jibv21e
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jibv21e/
false
3
t1_jibuh5u
Author, can you tell me how to use these? There is no information available.
2
0
2023-04-30T17:29:18
One_Creator_One
false
null
0
jibuh5u
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jibuh5u/
false
2
t1_jibss2y
[I did](https://www.reddit.com/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/?utm_source=share&utm_medium=ios_app&utm_name=iossmf&utm_content=1&utm_term=15)
1
0
2023-04-30T17:18:20
Shir_man
false
null
0
jibss2y
false
/r/LocalLLaMA/comments/131ggz4/apparently_someone_has_already_trained_a_1b/jibss2y/
false
1
t1_jibs4mk
Could you provide more info on the model used?
2
0
2023-04-30T17:13:53
Shir_man
false
null
0
jibs4mk
false
/r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jibs4mk/
false
2
t1_jibs1gj
Thanks for testing it out! Sadly it is on a custom architecture that isn’t supported by llama.cpp, so someone would need to port it. Shouldn’t be hard though.
6
0
2023-04-30T17:13:17
pokeuser61
false
null
0
jibs1gj
false
/r/LocalLLaMA/comments/133vfk3/i_recently_tested_the_mpt_1b_redpajama_dolly/jibs1gj/
false
6
t1_jibr407
I'll throw my few cents in. Assuming you're running only on CPU and using llamacpp or koboldcpp (this one has a --smartcontext which seems to help speed up processing), the best you can try are 13b models maybe 5bit (q5_1) or even 8bit (haven't tried this though but it could be better). You can try this [Vicuna 1.1](h...
7
0
2023-04-30T17:07:04
reduserGf
false
null
0
jibr407
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jibr407/
false
7
t1_jibprqe
They can offer dozens of gigs of more VRAM, it’s absolutely pointless to anyone that needs it for anything other than gaming. Nvidia is still the market leader purely because of CUDA’s massive optimizations and proven performance in ML/DL applications. Only people that are benefitting from AMD’s cheaper VRAM are gamers...
3
0
2023-04-30T16:57:52
darthmeck
false
null
0
jibprqe
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jibprqe/
false
3
t1_jibpitp
Koboldcpp and ggml models are the way to go.
3
0
2023-04-30T16:56:10
lolwutdo
false
null
0
jibpitp
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jibpitp/
false
3
t1_jibph2r
I don't even understand the old ones.
2
0
2023-04-30T16:55:51
ambient_temp_xeno
false
null
0
jibph2r
false
/r/LocalLLaMA/comments/133kzb8/llamacpp_new_samplers/jibph2r/
false
2
t1_jibp9jj
Try llama.cpp or koboldcpp.
21
0
2023-04-30T16:54:27
ruryrury
false
null
0
jibp9jj
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jibp9jj/
false
21
t1_jibow45
GGML Versions: [https://huggingface.co/waifu-workshop](https://huggingface.co/waifu-workshop)
11
0
2023-04-30T16:51:57
darxkies
false
null
0
jibow45
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jibow45/
false
11
t1_jibokge
It should be possible to do with a bunch of swap, though it would be very slow. I would say try out the 13B models if you haven't already. Also you can get more RAM for relatively cheap; I just bought another 8GB for my laptop for about 30 USD
2
0
2023-04-30T16:49:44
geemili
false
null
0
jibokge
false
/r/LocalLLaMA/comments/133wk3s/llama_for_poor/jibokge/
false
2
t1_jibnv9a
I was thinking of maybe a link in the sidebar of this subreddit so that it is accessible to others easily and not just this post ? [**u/Civil\_Collection7267**](https://www.reddit.com/user/Civil_Collection7267/) [**u/Technical\_Leather949**](https://www.reddit.com/user/Technical_Leather949/)
1
0
2023-04-30T16:44:53
PostScarcityHumanity
false
null
0
jibnv9a
false
/r/LocalLLaMA/comments/1333exw/benchmarks_for_recent_llms/jibnv9a/
false
1
t1_jibmn4s
This I understand. I have a 3090 with 32gb of RAM and a 2TB 850x. I can load 30B models, but I have to increase my page file size (or swap for Linux users) to ridiculous amounts, since to load them it takes much more than the RAM I have. They can sit in the VRAM after that. My question relating to direct storage revolv...
1
0
2023-04-30T16:36:18
That_Faithlessness22
false
null
0
jibmn4s
false
/r/LocalLLaMA/comments/1331yhq/intels_integrated_uhd_graphics_can_use_system_ram/jibmn4s/
false
1
t1_jibli13
How?
1
0
2023-04-30T16:28:18
ID4gotten
false
null
0
jibli13
false
/r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jibli13/
false
1
t1_jibk23q
Inference speed is basically the function of the memory subsystem. For instance, I have hardware that has about 30 GB/s memory bandwidth. If I give it a model that is 5 GB large, it can be passed through the CPU 6 times each second. Inference speed is also, not coincidentally, 6 tokens per second.
3
0
2023-04-30T16:18:24
audioen
false
null
0
jibk23q
false
/r/LocalLLaMA/comments/1331yhq/intels_integrated_uhd_graphics_can_use_system_ram/jibk23q/
false
3
t1_jibjzti
Thank you for letting me know. Appreciated u/frownGuy12
1
0
2023-04-30T16:17:57
Lord_Crypto13
false
null
0
jibjzti
false
/r/LocalLLaMA/comments/13279d6/carperai_presents_stablevicuna_13b_the_first/jibjzti/
false
1
t1_jibgv31
None of this truly matters in my opinion until AMD offers consumer cards with 64gb VRAM. Then we might see accelerated adoption of AMD technology due to overwhelming demand for it.
1
0
2023-04-30T15:56:09
RabbitHole32
false
null
0
jibgv31
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jibgv31/
false
1
t1_jibgt3g
Was thinking about that legal part and if it also affects some wikis or communities like subreddits (I heard that reddit has a new policy related to this). Even if the data is redundant, maybe it could "weigh" the model to be much more consistent with the lore it's been trained with
1
0
2023-04-30T15:55:46
reduserGf
false
null
0
jibgt3g
false
/r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jibgt3g/
false
1
t1_jibff20
I would assume the models have a ton of lore from existing worlds based on scraping different wikis. You could probably improve that by scraping full modern novels and screenplays, but a lot of that is not legally available.
2
0
2023-04-30T15:46:11
PacmanIncarnate
false
null
0
jibff20
false
/r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jibff20/
false
2
t1_jibdfut
[https://github.com/mlc-ai/mlc-llm/pull/14](https://github.com/mlc-ai/mlc-llm/pull/14) should add it. Awesome to hear it works, we love to get contributions and hear feedbacks from the community. Please send a PR about instructions on compiling to steam decks share your story, and we love to amplify it. Thank you
1
0
2023-04-30T15:32:30
crowwork
false
null
0
jibdfut
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jibdfut/
false
1
t1_jibcjqx
I do use both of these, and their features are pretty handy! But still a disadvantage if I understand it correctly is that this extra info is still fed in and uses up precious token space and inference time. So I wondered, if a model is going to be fine tuned for RP maybe a dataset of different world info and lore cou...
1
0
2023-04-30T15:26:10
reduserGf
false
null
0
jibcjqx
false
/r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jibcjqx/
false
1
t1_jibchu3
[removed]
1
0
2023-04-30T15:25:48
[deleted]
true
null
0
jibchu3
false
/r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jibchu3/
false
1
t1_jib9x44
Oh this was virtually inevitable since battlefield management platforms came online, and LLMs seem like they slot right into them to replace and augment the tasks human operators are currently doing. It has been entirely possible to do this for years now, but each task would have required engineering time to fine tune...
3
0
2023-04-30T15:07:19
Tostino
false
null
0
jib9x44
false
/r/LocalLLaMA/comments/13302oa/have_you_guys_seen_the_video_published_by/jib9x44/
false
3
t1_jib8dib
Tavernai frontend has world Info, as does koboldai. You can give the frontend info for it to check so it can tell the model what's up basically. Like for a Pokémon to, you can store info on the Pokédex and such which the frontend can scan for
5
0
2023-04-30T14:56:13
Nekasus
false
null
0
jib8dib
false
/r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jib8dib/
false
5
t1_jib8cz5
It is not. It only think it’s llama if llama is in the name.
1
0
2023-04-30T14:56:07
Faintly_glowing_fish
false
null
0
jib8cz5
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jib8cz5/
false
1
t1_jib846z
Can you share some info on this? I'm locked into google colab for protein folding since I can't get anything to work on my 6800xt, I'd love to be able to do this locally
3
0
2023-04-30T14:54:20
R__Daneel_Olivaw
false
null
0
jib846z
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jib846z/
false
3
t1_jib80fw
/u/crowwork we should add tokens/sec in our CLI app
2
0
2023-04-30T14:53:34
yzgysjr
false
null
0
jib80fw
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jib80fw/
false
2
t1_jib6fei
since you and others are talking here about the card, I can't seem to find apples to apples comparisons between consumer cards and this one that I can reproduce on my rtx 2070. would anyone (not just a\_beautiful\_rhind) be willing to do a image generation run and or a language model test. My card has 8 gb of vram. Cou...
1
0
2023-04-30T14:42:10
TashaTime
false
null
0
jib6fei
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jib6fei/
false
1
t1_jib61yx
Straight from ChatGPT: import pyarrow.parquet as pq import json # Read the Parquet file table = pq.read_table('/path/to/parquet/file.parquet') # Convert the Parquet table to a list of dictionaries data = table.to_pydict() # Convert the list of dictionaries to a JSON string json_strin...
2
0
2023-04-30T14:39:31
ReturningTarzan
false
null
0
jib61yx
false
/r/LocalLLaMA/comments/13395ip/training_a_llama_lora_with_a_parquet_file/jib61yx/
false
2
t1_jib2gg8
That is exactly what is happening — it’s trying to determine a lot about the model setup from the filename: https://github.com/oobabooga/text-generation-webui/blob/main/models/config.yaml
1
0
2023-04-30T14:12:58
disarmyouwitha
false
null
0
jib2gg8
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jib2gg8/
false
1
t1_jib2g8f
I just had it happen again and it seems to me it is caused by me clicking in the (windows) console, which makes it pause until some key (or rightclick) removes the selection marker that my click caused. Maybe that's how it happens to you too?
2
0
2023-04-30T14:12:55
involviert
false
null
0
jib2g8f
false
/r/LocalLLaMA/comments/1325x8j/the_latest_llamacpp_seems_much_faster/jib2g8f/
false
2
t1_jib230x
I saw some discussion about changing the context length of llama but I’m not sure if anyone’s been able to do it well and not output garbage
2
0
2023-04-30T14:10:07
LetMeGuessYourAlts
false
null
0
jib230x
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jib230x/
false
2
t1_jib1rzv
Will def. check it out~ I would love a local https://www.chatpdf.com (..once our models are a bit smarter..)
4
0
2023-04-30T14:07:49
disarmyouwitha
false
null
0
jib1rzv
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jib1rzv/
false
4
t1_jib1ggw
Looks local, but I’ll need to spend some more time with the code to 100% understand: Ingest is using Faiss-index for embedding: https://github.com/adriacabeza/erudito/blob/main/src/utils/Faiss.py
6
0
2023-04-30T14:05:20
disarmyouwitha
false
null
0
jib1ggw
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jib1ggw/
false
6
t1_jib1ceu
Poetic. I'm placing my faith in the combined forces of Microsoft and Blizzard/Activision to carry this torch far. :D
4
0
2023-04-30T14:04:26
friedrichvonschiller
false
null
0
jib1ceu
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jib1ceu/
false
4
t1_jib0ngd
Looks like I have to convert it to JSON but searching online I don't see an easy way to do it with a 130+MB file lol
2
0
2023-04-30T13:59:00
xoexohexox
false
null
0
jib0ngd
false
/r/LocalLLaMA/comments/13395ip/training_a_llama_lora_with_a_parquet_file/jib0ngd/
false
2
t1_jiazaii
I forgot you can get a Y cable. Used a standard 4pin molex plug. All of what I was finding on ebay/amazon was the reverse. Now it's moot because the server it's in is all CPU power connectors.
2
0
2023-04-30T13:48:25
a_beautiful_rhind
false
null
0
jiazaii
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiazaii/
false
2
t1_jiaxne6
Same. I actually had to remove one of 3 drive cages to make mine fit with the fan attached in a standard ATX case.
2
0
2023-04-30T13:35:31
harrro
false
null
0
jiaxne6
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiaxne6/
false
2
t1_jiaxj5s
> uses a different power plug that's harder to find an adapter for, you might have to make it You don't need to "make" that. It's a standard CPU connector. Every powersupply has at least 1 of those. If you don't have a 2nd connector, a Y-cable to turn 2 PCI-power into 1 8-pin CPU connector is easy and cheap to get (...
6
0
2023-04-30T13:34:34
harrro
false
null
0
jiaxj5s
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiaxj5s/
false
6
t1_jiawtya
>Used 3090s are cheaper and roughly as fast for AI... Crazy that the best option is to spend hundreds of dollars for hardware that is almost 3 years old. I hate to say that I agree with your statement, though.
5
0
2023-04-30T13:28:44
2muchnet42day
false
null
0
jiawtya
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiawtya/
false
5
t1_jiauqrn
Hi :-) How does this perform compared to something like https://github.com/pointnetwork/point-alpaca?
2
0
2023-04-30T13:10:45
schorhr
false
null
0
jiauqrn
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiauqrn/
false
2
t1_jiaupns
I guess you are right but I already deleted it :\\. Thanks regardless!
1
0
2023-04-30T13:10:29
Yoad1704
false
null
0
jiaupns
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiaupns/
false
1
t1_jiauh5r
A quick thing to try, edit the model folder and model file and add the "-llama-" in it. For me it worked, found about this by searching for that message in the code and I think the code guesses the model type from the file name
1
0
2023-04-30T13:08:24
simion314
false
null
0
jiauh5r
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiauh5r/
false
1
t1_jiatr9t
The drivers always lag each rollout as manufacturers use retail audience as beta testers, but the biggest problem (At least as it applies to AI) is the lack of SRAM close to the chip. The further the RAM gets from the chip the worse the problem of stacked up operations gets, as it waits for data that is pertinent to th...
5
0
2023-04-30T13:01:55
ComingInSideways
false
null
0
jiatr9t
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiatr9t/
false
5
t1_jiateck
*Modern games are getting increasingly demanding, although some are bad ports or lack optimization, such as Star Wars Jedi: Survivor, which has proven to consume up to 21GB of VRAM.* Terrible game companies: the heroes LLM enthusiasts need.
12
0
2023-04-30T12:58:37
ambient_temp_xeno
false
null
0
jiateck
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiateck/
false
12
t1_jiat9aw
You should be able to run the webui with no model loaded. You didn't exactly post what happens when you start it by itself.
2
0
2023-04-30T12:57:19
a_beautiful_rhind
false
null
0
jiat9aw
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiat9aw/
false
2
t1_jiasnxb
Changed, nothing. And I don't think you understa nd what my problem is. I can't run the web UI. At all.
1
0
2023-04-30T12:51:52
Yoad1704
false
null
0
jiasnxb
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiasnxb/
false
1
t1_jias7s3
Very cool. Can’t wait till it can do 32K input and output locally
3
0
2023-04-30T12:47:40
africanasshat
false
null
0
jias7s3
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jias7s3/
false
3
t1_jiaqyc8
It was founded by Peter Thiel. It’s appropriate.
1
0
2023-04-30T12:36:07
Gudeldar
false
null
0
jiaqyc8
false
/r/LocalLLaMA/comments/13302oa/have_you_guys_seen_the_video_published_by/jiaqyc8/
false
1
t1_jiaqi9x
In the command line. So on windows if you run some start.bat then you have to edit that or just select all that stuff from the models page in the UI and click reload.
1
0
2023-04-30T12:31:44
a_beautiful_rhind
false
null
0
jiaqi9x
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiaqi9x/
false
1
t1_jiaq8hz
[removed]
1
0
2023-04-30T12:29:02
[deleted]
true
null
0
jiaq8hz
false
/r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jiaq8hz/
false
1
t1_jiaq178
Reading the discussion on the PR gives you some pointers: [PR on GitHub](https://github.com/ggerganov/llama.cpp/pull/1126) TFS modifies probability distribution to carefully cut off least likely tokens, Mirostat optimizes the top-k sampling dynamically to match target perplexity (as to avoid both repetition and random...
8
0
2023-04-30T12:27:01
UnorderedPizza
false
null
0
jiaq178
false
/r/LocalLLaMA/comments/133kzb8/llamacpp_new_samplers/jiaq178/
false
8
t1_jiapz5v
Where do I change the model type? And I think it is llama by default
2
0
2023-04-30T12:26:28
Yoad1704
false
null
0
jiapz5v
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiapz5v/
false
2
t1_jiapqes
[deleted]
1
0
2023-04-30T12:24:03
[deleted]
true
null
0
jiapqes
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jiapqes/
false
1
t1_jiapiwc
AMD's API, HIP, is pretty much exactly the same as CUDA. So much so that you can automatically convert (aka 'hipify') CUDA code to run on AMD hardware.
6
0
2023-04-30T12:21:57
wsippel
false
null
0
jiapiwc
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiapiwc/
false
6
t1_jiapev5
[deleted]
1
0
2023-04-30T12:20:49
[deleted]
true
null
0
jiapev5
false
/r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jiapev5/
false
1
t1_jiap802
People would need to host them and I assume the existing pygmalion workers will.
3
0
2023-04-30T12:18:47
henk717
false
null
0
jiap802
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiap802/
false
3
t1_jiap6wp
for gptq the --model_type is llama
2
0
2023-04-30T12:18:27
a_beautiful_rhind
false
null
0
jiap6wp
false
/r/LocalLLaMA/comments/133nb7o/cant_determine_model_name_error/jiap6wp/
false
2
t1_jiaoncy
Oh yea.. I forgot about that. There was no way I would have fit one inside my full size ATX case. The card would end up against the drives and fit by itself only. The blower (or sucker) would have to be on the outside. And yes, it does get hot, even doing nothing.
2
0
2023-04-30T12:12:48
a_beautiful_rhind
false
null
0
jiaoncy
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiaoncy/
false
2
t1_jiaobmz
thanks for all the tips. I thought the blower fan attachment was all I had to worry about.
4
0
2023-04-30T12:09:22
TashaTime
false
null
0
jiaobmz
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiaobmz/
false
4
t1_jiao888
Yes, that is one of the biggest problems atm. StableLM's 4k context length could be a game changer at this point.
4
0
2023-04-30T12:08:22
2muchnet42day
false
null
0
jiao888
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jiao888/
false
4
t1_jianyzm
Yeah is there like a leaderboard and a standard benchmark set yet?
2
0
2023-04-30T12:05:41
directorOfEngineerin
false
null
0
jianyzm
false
/r/LocalLLaMA/comments/1329ckp/fastchatt5_drop/jianyzm/
false
2
t1_jianm78
They work fine for int4, you can run a 30b on one at decent speeds. Now I got a fix for bitsandbytes too, so 8bit is slow but do-able. Only problem is needing proper bios support. It did not work in my AMD B450 system even though the same card in quadro form does. Since it's got no outputs, the system needs to suppo...
6
0
2023-04-30T12:01:55
a_beautiful_rhind
false
null
0
jianm78
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jianm78/
false
6
t1_jian2qw
[deleted]
3
0
2023-04-30T11:56:02
[deleted]
true
null
0
jian2qw
false
/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jian2qw/
false
3
t1_jiamtpz
p40s have 24 gb of vram and a bunch of cuda cores a lot for the price. I'm probably going to order a Nvidia Tesla P40 soon actually. The only thing it lacks is tensor cores which are supposed to give some kind of a speed up. I can't figure out how much of a difference it makes. I wonder how a p40 compares to my rtx 20...
5
0
2023-04-30T11:53:22
TashaTime
false
null
0
jiamtpz
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiamtpz/
false
5
t1_jiaklhu
Can't wait for the 4bit version to come out.
3
0
2023-04-30T11:28:10
sebo3d
false
null
0
jiaklhu
false
/r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiaklhu/
false
3
t1_jiahksh
As far as I can tell it's not even just their fault, it's the general situation with how leading Nvidia just is in this space. And they kinda earned it too. Now most of the software just uses CUDA specifically, and to my knowlege that is a propriatary thing. So AMD can't just release CUDA drivers. At the moment it's ju...
5
0
2023-04-30T10:49:26
involviert
false
null
0
jiahksh
false
/r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiahksh/
false
5
t1_jiahju1
Missing Vicuna, Dolly, BELLE, [phoenix](https://github.com/FreedomIntelligence/LLMZoo), [MOSS](https://github.com/OpenLMLab/MOSS), the ones used by open assistant.
2
0
2023-04-30T10:49:05
saintshing
false
null
0
jiahju1
false
/r/LocalLLaMA/comments/1333exw/benchmarks_for_recent_llms/jiahju1/
false
2