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_jho3n96
[deleted]
1
0
2023-04-25T16:19:27
[deleted]
true
null
0
jho3n96
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jho3n96/
false
1
t1_jho32ew
4b finetuning is useful, but sadly it's much less 'stable'
2
0
2023-04-25T16:16:12
Dany0
false
null
0
jho32ew
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jho32ew/
false
2
t1_jho1pnw
are you using oobabooga? can you tell me the performance of running auto111? I'm getting very bad speed in sd
2
0
2023-04-25T16:07:21
tamal4444
false
2023-04-25T16:19:33
0
jho1pnw
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jho1pnw/
false
2
t1_jho0ku8
There aren't any as the weights haven't yet been released so how could they even be posted?
4
0
2023-04-25T15:59:54
rerri
false
null
0
jho0ku8
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jho0ku8/
false
4
t1_jhnzzgc
Not OP but I found some Huggingface links, both uploaded by the same user: - Transformers version: https://huggingface.co/eachadea/vicuna-7b-1.1 - llama.cpp version: https://huggingface.co/eachadea/ggml-vicuna-7b-1.1
4
0
2023-04-25T15:56:04
[deleted]
false
null
0
jhnzzgc
false
/r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhnzzgc/
false
4
t1_jhnyulv
5 tokens a second for an 8 bit 13b model is pretty good tbh. If you can manage to get 4bit 30b to work it shouldn't be much slower. Are you on windows? Gptq for windows kinda sucks in general. Assuming you're using Linux or wsl2 the triton branch for amd cards is kinda slow, but the cuda one works decently. Someone ha...
2
0
2023-04-25T15:48:46
lemon07r
false
null
0
jhnyulv
false
/r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhnyulv/
false
2
t1_jhnyfp0
I get around 7-12 tokens a second on a laptop 3070 using 4bit 7b models. 4bit 13b ggml binaries go at around 1 token a second on my 5800h.. but that's on oogabooga which I hear sucks for CPU. Maybe llama.cpp would go faster. Not enough vram to load anything bigger to gpu sadly and my desktop is currently dead so I can'...
1
0
2023-04-25T15:46:06
lemon07r
false
null
0
jhnyfp0
false
/r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhnyfp0/
false
1
t1_jhnwigq
Any thoughts on doing dual 3060 12gb? They are like 350 right now, so you'd get 24 gb VRAM for under 700$
1
0
2023-04-25T15:33:43
GerlamoRodion
false
null
0
jhnwigq
false
/r/LocalLLaMA/comments/12vxxze/most_cost_effective_gpu_for_local_llms/jhnwigq/
false
1
t1_jhnw7a2
I ran that the same model with 11.5/12g filled
1
0
2023-04-25T15:31:41
Apprehensive-View583
false
null
0
jhnw7a2
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnw7a2/
false
1
t1_jhnvvl1
Intel i7-8086K. I haven't overclocked it at all, so there's a little more performance to squeeze out of it, but it's marginal at best. I'm getting like .04 tokens/second on LLaMA 65B.
3
0
2023-04-25T15:29:33
the_quark
false
null
0
jhnvvl1
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhnvvl1/
false
3
t1_jhnviv3
No reason not to get 12gb. Build for efficiency not low end.
4
0
2023-04-25T15:27:16
BuckwheatMechanics
false
null
0
jhnviv3
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnviv3/
false
4
t1_jhnvd30
Hi! Thanks for posting this, I've worked out a solution for you. I followed the following steps to get the app running on my own Paperspace Gradient machine: First, you can open it up using this link on a Free GPU (M4000). You can change the "Free-GPU" value in the URL to any other machine to access that other mac...
2
0
2023-04-25T15:26:12
hellopaperspace
false
null
0
jhnvd30
false
/r/LocalLLaMA/comments/12y487z/help_trouble_accessing_oogabooga_webui_on/jhnvd30/
false
2
t1_jhnv4tp
Weird, I use a 13B q4 vicuna on my cpu, and just that goes a bit beyond 12GB total RAM usage. Using nothing but llama.cpp directly. What are you using to run that gpt4-x-alpaca model?
1
0
2023-04-25T15:24:42
involviert
false
null
0
jhnv4tp
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnv4tp/
false
1
t1_jhntasf
There’s certainly the constraint of vmem that 4bit will help a lot with. Plus it works as well as 8bit for me and faster
2
0
2023-04-25T15:12:37
Faintly_glowing_fish
false
null
0
jhntasf
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhntasf/
false
2
t1_jhntatw
Can you give a rough idea about how slow it is and on which CPU you have tested?
2
0
2023-04-25T15:12:37
x54675788
false
null
0
jhntatw
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhntatw/
false
2
t1_jhnskgt
Ah cool. I do find it annoying having to patch together 3 different packages and change code lots of places to do this. But do you support 4 bit quantization?
1
0
2023-04-25T15:07:40
Faintly_glowing_fish
false
null
0
jhnskgt
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhnskgt/
false
1
t1_jhnsei3
Thank you so much! That solve my issue right away!
1
0
2023-04-25T15:06:33
Apu000
false
null
0
jhnsei3
false
/r/LocalLLaMA/comments/12y487z/help_trouble_accessing_oogabooga_webui_on/jhnsei3/
false
1
t1_jhns3sx
What package are you using to run it? There are flags to use multiple gpu in almost all of them
2
0
2023-04-25T15:04:33
Faintly_glowing_fish
false
null
0
jhns3sx
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhns3sx/
false
2
t1_jhnrux8
I've messed with this a little, since oobabooga supports SD in the chat. Also on a 3060 12GB.
1
0
2023-04-25T15:02:53
DeylanQuel
false
null
0
jhnrux8
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnrux8/
false
1
t1_jhnr1us
See [https://www.reddit.com/r/LocalLLaMA/comments/12rv9xz/comment/jh09may/?utm\_source=share&utm\_medium=web2x&context=3](https://www.reddit.com/r/LocalLLaMA/comments/12rv9xz/comment/jh09may/?utm_source=share&utm_medium=web2x&context=3). I didn't directly measure tokens/s though, but words/s (I'm not sure of the best w...
1
0
2023-04-25T14:57:31
daxvena
false
null
0
jhnr1us
false
/r/LocalLLaMA/comments/124dc7i/dont_buy_an_amd_7000_series_for_llama_yet/jhnr1us/
false
1
t1_jhnoxu8
Its almost the same in latest release
1
0
2023-04-25T14:43:20
kucingmaut
false
null
0
jhnoxu8
false
/r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhnoxu8/
false
1
t1_jhnox86
Thanks, can you share huggingface link by any chance ?
2
0
2023-04-25T14:43:13
djangoUnblamed
false
null
0
jhnox86
false
/r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhnox86/
false
2
t1_jhno6ml
[deleted]
1
0
2023-04-25T14:38:09
[deleted]
true
null
0
jhno6ml
false
/r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhno6ml/
false
1
t1_jhnnwh5
[removed]
1
0
2023-04-25T14:36:14
[deleted]
true
null
0
jhnnwh5
false
/r/LocalLLaMA/comments/11o6o3f/how_to_install_llama_8bit_and_4bit/jhnnwh5/
false
1
t1_jhnn3qh
I run them together fine too on the same card, just using --lowvram param in stable diffusion and only loading pruned models (2gbs +-)
1
0
2023-04-25T14:30:48
True-Delivery8926
false
null
0
jhnn3qh
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnn3qh/
false
1
t1_jhnk0zi
Glad it works for you!. Actually if your CPU mem don’t fill out you might even manage 2x each haha, but much slower On the other hand if you can pipeline them (for example exit the llm program before starting SD) it should actually save a little bit of overall time.
4
0
2023-04-25T14:09:24
Faintly_glowing_fish
false
null
0
jhnk0zi
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnk0zi/
false
4
t1_jhnixkc
I am using Oobabooga web ui repo with parameters for multiple gpu and model is loaded into two cards memory. I am also curious how it works, since consumer cards does not support memory pooling from what I know.
2
0
2023-04-25T14:01:34
polawiaczperel
false
null
0
jhnixkc
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhnixkc/
false
2
t1_jhnh1mw
Sorry, you're correct. I misunderstood the result, which is perplexity per total bits. So a 30b 8-bit and a 60b 4-bit have the same number of bits, but 60b performs better.
3
0
2023-04-25T13:48:02
TeamPupNSudz
false
null
0
jhnh1mw
false
/r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhnh1mw/
false
3
t1_jhngizm
I‘m also setting up a system with two 4090‘s at the moment. First goal is to run and possibly Adapter fine tune LLaMA 65B. I‘ll report back here. If I don’t forget to, that is.
2
0
2023-04-25T13:44:12
MasterH0rnet
false
null
0
jhngizm
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhngizm/
false
2
t1_jhng32y
That's a good suggestion.
1
0
2023-04-25T13:40:57
AlphaPrime90
false
null
0
jhng32y
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhng32y/
false
1
t1_jhnfuhc
I'm running 30B right now and only seeing about 1-2 tokens per second. What am I doing wrong? https://i.imgur.com/7Kzc3ck.png
2
0
2023-04-25T13:39:11
Siigari
false
null
0
jhnfuhc
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhnfuhc/
false
2
t1_jhnfnlf
Working on doing this with 30b and 2x RTX 3080s. Can you point to how you're achieving the parallelization?
1
0
2023-04-25T13:37:45
Qxarq
false
null
0
jhnfnlf
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhnfnlf/
false
1
t1_jhncoek
It says that the weights will be released in the next 3 days.. the online demo is broken.
13
0
2023-04-25T13:14:46
Marco_beyond
false
2023-04-25T15:08:52
0
jhncoek
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhncoek/
false
13
t1_jhnb4hx
[deleted]
3
0
2023-04-25T13:02:18
[deleted]
true
2023-05-15T08:06:55
0
jhnb4hx
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhnb4hx/
false
3
t1_jhn9won
This is exactly why the model weights aren't being released for commercial use. Why would meta release something that surely cost them a lot of money to create to everyone and let them profit off of it?
6
0
2023-04-25T12:52:19
brandonZappy
false
null
0
jhn9won
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhn9won/
false
6
t1_jhn9hfe
Sigh I am completely clueless on this. I am just guessing that a lot of companies will want to build their own AI-infrastructure and use some base model that they will train on their own data.
1
0
2023-04-25T12:48:48
rangorn
false
null
0
jhn9hfe
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhn9hfe/
false
1
t1_jhn9e4d
[deleted]
1
0
2023-04-25T12:48:03
[deleted]
true
null
0
jhn9e4d
false
/r/LocalLLaMA/comments/12xtm2v/i_made_a_local_ai_wordpress_editor/jhn9e4d/
false
1
t1_jhn9609
Would an 8GB gpu be too little to get interesting results like this? I'm considering building a lower end PC to toy with some of this, and potentially upgrade later.
3
0
2023-04-25T12:46:08
New-Garbage-1609
false
null
0
jhn9609
false
/r/LocalLLaMA/comments/12yh5pv/was_able_to_run_13b_4bit_and_stable_diffusion_at/jhn9609/
false
3
t1_jhn8zaj
To save you time there are args you pass in for your GPU otherwise the model will fill up one card and queries fail. It’s trial and error with the cards and the model size you pick.
2
0
2023-04-25T12:44:34
Gullible_Bar_284
false
null
0
jhn8zaj
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn8zaj/
false
2
t1_jhn6vy6
Are you using langchain? I'm curious about building a decent personal assistant, but I'm not sure where to start with chaining these things together. I was trying langflow, but that's kind of limited
1
0
2023-04-25T12:26:13
semyag98
false
null
0
jhn6vy6
false
/r/LocalLLaMA/comments/12xcjuu/for_those_who_have_tried_how_does_bloom176b_feel/jhn6vy6/
false
1
t1_jhn6acg
I have 4 GPUs and 4 bit models are slow……
1
0
2023-04-25T12:20:54
Gullible_Bar_284
false
null
0
jhn6acg
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn6acg/
false
1
t1_jhn63v6
What kind of speed are you getting on 65b with two 3090?~
5
0
2023-04-25T12:19:18
disarmyouwitha
false
null
0
jhn63v6
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn63v6/
false
5
t1_jhn4yma
Yeah I know. I'm maxed out right now anyway.
2
0
2023-04-25T12:08:42
Siigari
false
null
0
jhn4yma
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn4yma/
false
2
t1_jhn4ezn
I've run on cpu and I get nowhere near that token speed. On gpu, I get about 10 tokens per second on a 3080ti with 13b.
1
0
2023-04-25T12:03:40
teachersecret
false
null
0
jhn4ezn
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhn4ezn/
false
1
t1_jhn43z4
How much RAM does your system have?
1
0
2023-04-25T12:00:45
ma-2022
false
null
0
jhn43z4
false
/r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhn43z4/
false
1
t1_jhn3shj
This is cool. Thank you for doing this.
1
0
2023-04-25T11:57:43
ma-2022
false
null
0
jhn3shj
false
/r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhn3shj/
false
1
t1_jhn3pgr
And also, do not repeat my mistake. I actually got 3 rtx 3090, but one is not working because of PCI-E bandwidth limitations on my AM4 motherboard. So do not buy third card, before you will be sure that you have enough PCI-E lanes.
4
0
2023-04-25T11:56:55
polawiaczperel
false
null
0
jhn3pgr
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn3pgr/
false
4
t1_jhn3c6b
Any Vicuna model. I'm using 1.1 now but they're all good, similar to gpt3.5
7
0
2023-04-25T11:53:22
Significant-Chip-703
false
null
0
jhn3c6b
false
/r/LocalLLaMA/comments/12ychts/what_is_the_best_7b_model_have_you_found_so_for/jhn3c6b/
false
7
t1_jhn2b7a
The weights aren't even released so no lol
3
0
2023-04-25T11:43:18
rainy_moon_bear
false
null
0
jhn2b7a
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhn2b7a/
false
3
t1_jhn1bxt
Both, natively and LORA are supported. If you think 4bit finetuning is actually useful please open a feature request for it. I personally have not looked into it yet, but looks interesting.
4
0
2023-04-25T11:33:22
ichiichisan
false
null
0
jhn1bxt
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhn1bxt/
false
4
t1_jhn180z
Could you elaborate a bit how your data is looking like and what the task of the finetuned model would be?
3
0
2023-04-25T11:32:14
ichiichisan
false
null
0
jhn180z
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhn180z/
false
3
t1_jhn0ktq
And you do not need 128 RAM, you can increaee your disk swap size, but it will be słower
2
0
2023-04-25T11:25:28
polawiaczperel
false
null
0
jhn0ktq
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn0ktq/
false
2
t1_jhn0i9f
It is possible to run 65B models int4 with those cards, but it will be kinda słow and you will quickly be run out of VRAM, but it's worth to try. I have been doing that with 2xRTX 3090
9
0
2023-04-25T11:24:43
polawiaczperel
false
null
0
jhn0i9f
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhn0i9f/
false
9
t1_jhn0ckf
So still not possible to use for commercial purpose?
2
0
2023-04-25T11:23:03
rangorn
false
null
0
jhn0ckf
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhn0ckf/
false
2
t1_jhmzxqz
use NVTOP or your OS equivalent and kill processes that consume memory. Turn off acceleration on your browser or install a second, even crappy GPU to remove all vram usage from your main one.
2
0
2023-04-25T11:18:43
a_beautiful_rhind
false
null
0
jhmzxqz
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhmzxqz/
false
2
t1_jhmzue2
censored and too much AALM
3
0
2023-04-25T11:17:40
a_beautiful_rhind
false
null
0
jhmzue2
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhmzue2/
false
3
t1_jhmzqky
You went OOM
2
0
2023-04-25T11:16:31
a_beautiful_rhind
false
null
0
jhmzqky
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhmzqky/
false
2
t1_jhmz93a
Is it? Not in my tests. Perplexity is better for int8 and fp16. But you can run a more parameter model, faster, that's "better" on the same vram.
2
0
2023-04-25T11:11:02
a_beautiful_rhind
false
null
0
jhmz93a
false
/r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhmz93a/
false
2
t1_jhmz1ua
You need more CPU ram.. at least 128. Run yourself the 65b 4bit model split between the 4090s. I think since its 38gb it will run in 48gb split like you got. Just model parallelism is borked in most tools, either slow or it goes OOM. I won't get to play with it till I build my own 2x GPU system.
5
0
2023-04-25T11:08:47
a_beautiful_rhind
false
null
0
jhmz1ua
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhmz1ua/
false
5
t1_jhmyqqe
Fine tune natively and not lora? Can you support https://github.com/johnsmith0031/alpaca_lora_4bit and GPTQ (faster cuda without AC+GS and not lame OAI triton)
3
0
2023-04-25T11:05:21
a_beautiful_rhind
false
null
0
jhmyqqe
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhmyqqe/
false
3
t1_jhmyi3s
Yeah it should be in 4-bit mode. When I run it using llama.cpp on my CPU, it's super slow, but it only takes about 41GB of RAM.
3
0
2023-04-25T11:02:35
the_quark
false
null
0
jhmyi3s
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhmyi3s/
false
3
t1_jhmyetb
Are 2x24GB of VRAM enough for 65B?
1
0
2023-04-25T11:01:34
x54675788
false
null
0
jhmyetb
false
/r/LocalLLaMA/comments/12xr7h0/what_is_the_theoretical_best_consumer_grade_pc/jhmyetb/
false
1
t1_jhmxl8y
Sounds good, but is there a documentation or a webpage or Reddit thread where I can learn more pratical usage details about all of those? I'm not talking about academic explanations but real world differences for usage in local contexts. Sample questions: - do I need ggml to run on cpu with llama.cpp? - given the dan...
5
0
2023-04-25T10:52:06
x54675788
false
null
0
jhmxl8y
false
/r/LocalLLaMA/comments/12xrl1q/lora_ggml_safetensors_hf_etc_is_there_a_glossary/jhmxl8y/
false
5
t1_jhmxghk
Well normally I run LLaMA 30B on my GPU. But for the above discussion, I was talking about running LLaMA 65B on my CPU, which is an Intel i7-8086K.
1
0
2023-04-25T10:50:36
the_quark
false
null
0
jhmxghk
false
/r/LocalLLaMA/comments/12xyzsn/please_help_me_choose_a_custom_pc_for_running/jhmxghk/
false
1
t1_jhmvba9
Cool, i will try to clone myself
4
0
2023-04-25T10:24:14
3deal
false
null
0
jhmvba9
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhmvba9/
false
4
t1_jhmv9f4
I did actually try to get this working but couldn't on my system because I'm not running this through docker, will have another attempt because it does look cleaner; the point being this is contained entirely on the external disk. Maybe someone has done it before, but I've not seen it. I was up all night building this...
3
0
2023-04-25T10:23:34
SupernovaTheGrey
false
2023-04-25T10:34:22
0
jhmv9f4
false
/r/LocalLLaMA/comments/12x9k9g/i_build_a_completely_local_and_portable_autogpt/jhmv9f4/
false
3
t1_jhmulkx
Doing us dirty like that
6
0
2023-04-25T10:15:02
SupernovaTheGrey
false
null
0
jhmulkx
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmulkx/
false
6
t1_jhmtyb5
It's likely that the repo does exist but was accidentally kept private. Hopefully once they realize it, we'll see the goods.
8
0
2023-04-25T10:06:28
itsnotlupus
false
null
0
jhmtyb5
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmtyb5/
false
8
t1_jhmtlpx
Yes, that's probably better.
2
0
2023-04-25T10:01:43
7734128
false
null
0
jhmtlpx
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmtlpx/
false
2
t1_jhmtfnq
Indeed, thank's!
3
0
2023-04-25T09:59:24
ChoiceOwn555
false
null
0
jhmtfnq
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmtfnq/
false
3
t1_jhmt8og
What are the requirements for training data formatting? I don't make chatbots mostly, so most of my training data is not formatted with instruction fields like alpaca and, I'd imagine, OASST. So it was a pain dealing with finetuning scripts that were really designed for that kind of data.
2
0
2023-04-25T09:56:40
GreenTeaBD
false
null
0
jhmt8og
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhmt8og/
false
2
t1_jhmsl1y
Linking to the Arxiv abstract page (https://arxiv.org/abs/2304.12244) provides a lot more options and formats to explore the paper, along with no forcing a download or a PDF viewer to start up. It's just nicer I think.
35
0
2023-04-25T09:47:23
itsnotlupus
false
null
0
jhmsl1y
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmsl1y/
false
35
t1_jhmr9v4
If you can prepare your twitter dataset in an input/output format then yes.
6
0
2023-04-25T09:27:59
ichiichisan
false
null
0
jhmr9v4
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhmr9v4/
false
6
t1_jhmqp2s
Better to link to the abstract.
11
0
2023-04-25T09:19:30
_supert_
false
null
0
jhmqp2s
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmqp2s/
false
11
t1_jhmpbyn
Quantization better. I ran 65B q2 model yday and quality is good.
1
0
2023-04-25T08:58:49
morph3v5
false
null
0
jhmpbyn
false
/r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhmpbyn/
false
1
t1_jhmp9dr
[deleted]
14
0
2023-04-25T08:57:44
[deleted]
true
null
0
jhmp9dr
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmp9dr/
false
14
t1_jhmp8pe
If you're running ggml it's on cpu unless you have a *really* weird setup. Because ggml basically only works on cpu right now.
1
0
2023-04-25T08:57:27
Kafke
false
null
0
jhmp8pe
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhmp8pe/
false
1
t1_jhmp1x1
the more parameters the better. With your setup you should run 13b-4bit models, rather than 7b-8bit models.
2
0
2023-04-25T08:54:37
Kafke
false
null
0
jhmp1x1
false
/r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhmp1x1/
false
2
t1_jhmp13p
60b model should occupy both of your cards :) But I've heard that it does not scale well with multiple GPUs. Also, most finetunes are 7-13b, 30b at most.
4
0
2023-04-25T08:54:17
BalorNG
false
null
0
jhmp13p
false
/r/LocalLLaMA/comments/12ycnf0/i_have_two_4090s_is_there_any_way_to_work_a_model/jhmp13p/
false
4
t1_jhmnsbs
Thank you for sharing it, is it possible to finetune a model with my twitter dataset ?
2
0
2023-04-25T08:35:39
3deal
false
null
0
jhmnsbs
false
/r/LocalLLaMA/comments/12yc8op/new_open_source_framework_and_nocode_gui_for/jhmnsbs/
false
2
t1_jhmnmwq
Why not?
7
0
2023-04-25T08:33:20
7734128
false
null
0
jhmnmwq
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmnmwq/
false
7
t1_jhmlnol
a huge part of the community are already experienced with safetensors from stable diffusion - thing is, before safetensors models were delivered in pickle format, with the ability to execute any python code on your pc. Safetensors on the other hand are not executed, its just a storage for weights, and they was easily a...
1
0
2023-04-25T08:03:18
LienniTa
false
null
0
jhmlnol
false
/r/LocalLLaMA/comments/12xrl1q/lora_ggml_safetensors_hf_etc_is_there_a_glossary/jhmlnol/
false
1
t1_jhmlcmk
This is one of the most promising paper I read recently.
6
0
2023-04-25T07:58:44
roselan
false
null
0
jhmlcmk
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmlcmk/
false
6
t1_jhml1w0
[deleted]
1
0
2023-04-25T07:54:20
[deleted]
true
null
0
jhml1w0
false
/r/LocalLLaMA/comments/12xkm9v/alpaca_vs_final_jeopardy/jhml1w0/
false
1
t1_jhmjntb
Please don't post direct download links...
16
0
2023-04-25T07:34:20
ChoiceOwn555
false
null
0
jhmjntb
false
/r/LocalLLaMA/comments/12yax3h/wizardlm_finetuned_llama_7b_with_evolving/jhmjntb/
false
16
t1_jhmjf7v
\### Human:i am going to give you output of weather forecast straight from api. I want you to translate it to human speaking terms for weather news .. here is the 1st api info "This afternoon, partly cloudy with a high of 65, winds from the NW 5 - 10 MPH.\\nTonight, partly cloudy with a low of 49, winds from the N 3 - ...
6
0
2023-04-25T07:30:53
FHSenpai
false
null
0
jhmjf7v
false
/r/LocalLLaMA/comments/12xcjuu/for_those_who_have_tried_how_does_bloom176b_feel/jhmjf7v/
false
6
t1_jhmikxk
With the same parameters or larger model?
1
0
2023-04-25T07:18:53
kif88
false
null
0
jhmikxk
false
/r/LocalLLaMA/comments/12xy5ts/quantized_or_less_parameters/jhmikxk/
false
1
t1_jhmhsq2
I've not used Paperspace. On Runpod, they have an option to open TCP ports so I just open port 7860 and run text-gen-ui with `--listen` so it's accessible. And then I can access it directly from home. Alternatively, another option is SSH tunnelling. I assume Paperspace lets you SSH in to your instance? In which case, ...
1
0
2023-04-25T07:07:42
The-Bloke
false
2023-04-25T07:11:20
0
jhmhsq2
false
/r/LocalLLaMA/comments/12y487z/help_trouble_accessing_oogabooga_webui_on/jhmhsq2/
false
1
t1_jhmh32y
Thanks, will do!
1
0
2023-04-25T06:58:01
ljubarskij
false
null
0
jhmh32y
false
/r/LocalLLaMA/comments/12xyzsn/please_help_me_choose_a_custom_pc_for_running/jhmh32y/
false
1
t1_jhmh23h
Thank you for your reply! What model do you run? What is your CPU?
1
0
2023-04-25T06:57:39
ljubarskij
false
null
0
jhmh23h
false
/r/LocalLLaMA/comments/12xyzsn/please_help_me_choose_a_custom_pc_for_running/jhmh23h/
false
1
t1_jhmg2gd
Another option could be via WebGPU in the browser. https://mlc.ai/web-llm/
1
0
2023-04-25T06:44:11
DustinBrett
false
null
0
jhmg2gd
false
/r/LocalLLaMA/comments/12x1g24/how_to_install_vicuna_language_model_on_mac_2_ways/jhmg2gd/
false
1
t1_jhmg11t
Check out LlamaIndex. [https://gpt-index.readthedocs.io/en/latest/how\_to/customization/embeddings.html](https://gpt-index.readthedocs.io/en/latest/how_to/customization/embeddings.html)
4
0
2023-04-25T06:43:38
The-Bloke
false
null
0
jhmg11t
false
/r/LocalLLaMA/comments/12y3stx/embeddings/jhmg11t/
false
4
t1_jhmfkgo
Hey, since one more person asked for the GPQT implementation, I ended up implementing it - figured you might be interested.
1
0
2023-04-25T06:37:20
rustedbits
false
null
0
jhmfkgo
false
/r/LocalLLaMA/comments/12r552r/creating_an_ai_agent_with_vicuna_7b_and_langchain/jhmfkgo/
false
1
t1_jhmfcpm
Not exactly LLama, but I implemented an embedding endpoint on top of Vicuna - I didn't like the results though, I was planning to benchmark against sentence transformers once I get time, to compare if they are any good. [https://github.com/paolorechia/learn-langchain/blob/c6ede53d271a2587beb88a4907de089338a64195/serve...
8
0
2023-04-25T06:34:28
rustedbits
false
null
0
jhmfcpm
false
/r/LocalLLaMA/comments/12y3stx/embeddings/jhmfcpm/
false
8
t1_jhmf1p7
Do you know how to set this up in Oobabooga?
1
0
2023-04-25T06:30:23
Nazi-Of-The-Grammar
false
null
0
jhmf1p7
false
/r/LocalLLaMA/comments/12tgmuq/make_use_of_the_shared_gpu_memory/jhmf1p7/
false
1
t1_jhmei3p
It is the first release with WebGPU enabled by default. It also has an increased memory limit for WebGPU which is required for this demo. https://developer.chrome.com/blog/webgpu-release/ Release schedule: https://chromestatus.com/roadmap
2
0
2023-04-25T06:23:03
DustinBrett
false
2023-04-25T06:26:16
0
jhmei3p
false
/r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmei3p/
false
2
t1_jhmefa6
What does Chrome 113 enable? 🤔
2
0
2023-04-25T06:22:03
I_Hate_Reddit
false
null
0
jhmefa6
false
/r/LocalLLaMA/comments/12y7bsy/running_vicuna_7b_on_my_personal_website_wwebgpu/jhmefa6/
false
2
t1_jhme9ro
Even chatgpt 3 has problems with autogpt. Only chatgpt 4 was actually good at it.
1
0
2023-04-25T06:20:04
DrLoaky
false
null
0
jhme9ro
false
/r/LocalLLaMA/comments/12una2g/agentllm_is_working_autogpt_with_llamacpp_and/jhme9ro/
false
1
t1_jhmc0f0
Cool. Since your CPU has AVX512, have you tried activating it , if so, would you let us now if it's faster and how you did it? I'm going to get me a 7900x combo from Microcenter and want to know if it will allow me to run llama faster.
2
0
2023-04-25T05:51:26
leelweenee
false
null
0
jhmc0f0
false
/r/LocalLLaMA/comments/12xdsi9/what_is_the_best_llama_i_can_run_on_my_machine/jhmc0f0/
false
2
t1_jhmbhil
I basically copied the steps from this [Unreal Engine 5 LoRA repo](https://github.com/bublint/ue5-llama-lora) and adjusted as needed. In my case, I created a raw text file dataset that contained a few IT-related books (used Calibre to convert from MOBI -> TXT, then combined them all into one file). Not sure what the b...
5
0
2023-04-25T05:45:06
jetpackswasno
false
null
0
jhmbhil
false
/r/LocalLLaMA/comments/12ws4hr/can_i_train_gpt4xalpaca_with_my_own_data/jhmbhil/
false
5